Mikhail Shirokikh

Email: mscirokikh@yandex.ru
Website:
Link to CV: https://arabel1a.github.io/me/
Level: PhD, Internship, Research Visit
Keywords: Machine Learning, Decision Science, Deep Learning, Reinforcement Learning, SAT solving, Recommender Systems, Graph Neural Networks
Short bio / research interests / publications: In school, I used to win some olympiads and enrolled in university on a non-competitive basis. During my bachelor my main research interests were related to Morse theory in polytopes, then I enjoyed Machine Learning. I won all in-course ML competitions, and a year later, when I started my Master’s education in Advanced Mathematics, I was hunted by Anton Alekseev into Sergey Nikolenko’s lab at PDMI RAS. There I was actively working on commercial DL research for big tech companies (Huawei and SBER), during this time we wrote 3 papers where I was the first author — the links are available in my CV.

Also, I have been married for almost 4 years, my wife is pursuing her Master’s degree in sociology at Konstanz University, that’s why I have a superior interest in PhDs somewhere near: ETH, EPFL, Politecnico di Milano is my ultimate dream, and I am wondering if you can give me any advice on enrolling process or anything that may help me to get into this universities.

Paul Medvedev

Email: pzm11@psu.edu
Webpage: medvedevgroup.com/
Position description: PhD position available starting Fall 2023 for student in algorithmic bioinformatics (either theory or applied focused)

Christopher Kanan

Email: chriskanan@gmail.com
Webpage: https://chriskanan.com
Position description: I’m looking for multiple computer science PhD students for Fall 2023 to join my AI lab. There is no application fee for the University of Rochester. The main projects involve lifelong machine learning, medical computer vision (computational pathology), self-supervised learning, and bias robustness in neural networks. We also have some projects involving brain inspired alternatives to backpropagation and involving computational models of memory consolidation during sleep.

Students should have strong coding skills, skills in deep learning, PyTorch (or another toolbox, but PyTorch is used exclusively in the lab), linear algebra, and preferably a peer reviewed publication that demonstrates their ability to conduct research in deep learning, especially conferences/journals well known in machine learning. If you don’t have publications (even preprints are useful), ranking high in machine learning competitions (Kaggle and the like) or significant industry experience conducting AI R&D counts highly as well. Students need to be interested in the same problems as my group and have strong written and oral communication skills in English.

If you think you are a good fit then I encourage you to apply, and please mention that you are interested in working in my group in your application essay and why you think you would be a good fit. Here is the application link: https://www.cs.rochester.edu/graduate/how-to-apply.html

The application deadline is December 15. After applications are screened by the admissions committee, a subset of the students interested in working with me will be interviewed in early 2023.

Rob Brennan, University College Dublin, Ireland

Email: rob.brennan@adaptcentre.ie
Webpage: https://www.adaptcentre.ie/careers/phd-studentship-in-user-centric-multimodal-knowledge-graph-support-systems/
Position description: The Science Foundation Ireland ADAPT Centre in the School of Computer Science UCD (in top 1% of universities worldwide) invites applications for a fully funded, 4 year PhD postgraduate studentship in multimodal knowledge graphs, semantics and applied NLP which includes a stipend of (€18,500 per annum – non taxed), along with equipment, annual travel funding . See details at link. Closes 7th Aug 2022.

Ilya Safro

Email: isafro@udel.edu
Webpage: https://careers.udel.edu/en-us/job/498947/open-rank-faculty-computer-information-sciences
Position description: The Department of Computer & Information Sciences at the University of Delaware invites applications for a temporary academic-year teaching faculty position to begin August 15, 2022. This is a full-time academic year appointment that may be renewable for up to 3 years (contingent on funding, department needs, and performance). We have several open positions to teach computer science courses. This search is urgent, so please apply as soon as possible.

Aleksandr Smirnov

Email: alex.smir152@gmail.com
Website:
Link to CV: https://drive.google.com/file/d/1EFJ0qxRDJi9CvlMdMvBVHimwZs2LI5Ca
Level: MS, Internship
Keywords: machine learning, data analysis
Short bio / research interests / publications: I’m Bachelor of ITMO University (Saint-Petersburg, Russia), computer technologies department. My main research is recommending parameters of evolution algorithms by fitness landscape analysis and machine learning (GECCO2022 paper). I’d like to improve my machine learning skills and get master’s degree.

Pavel Skums

Email: pskums@gsu.edu
Webpage: https://alan.cs.gsu.edu/compbel/
Position description: Funded PhD student positions at the Department of Computer Science of Georgia State University (Atlanta, GA, USA) are available. The research areas are computational biology and bioinformatics. No biological background is required, we welcome students with any Computer Science and Mathematical background, including combinatorial and continuous optimization, graph theory, machine learning, computational complexity.

Richard Flores

Email: rflo147@wgu.edu
Website: datascience.monster
Link to CV: https://datascience.monster/wp-content/uploads/2022/04/Richard-Flores-Resume-PUBLIC.pdf
Level: PhD, Internship
Keywords: Data Analytics, Data Science, SQL, Python, Tableau, Machine Learning, NLP, USA
Short bio / research interests / publications: I am a recent Master of Science, Data Analysis graduate from the USA. I have spent the past several years immersing myself in Data Analytics and Machine Learning. I’m excited to bring my expertise the role of a PhD program as a Data Scientist.

I have experience in data visualization and developing workflows to compare diverse data sources. I also have many years professional experience as an IT Engineer working for companies like Genetech and Facebook. I have strong communication skills and experience in explaining technical topics to a general audience.

Thank you very much for your time and consideration. Please feel free to contact me at +1 415-891-7125 or rflo147@wgu.edu

ALEKS MALKHASOV

Email: realex1902@gmail.com
Website: https://linkedin.com/in/alex-malkhasov
Link to CV: https://drive.google.com/file/d/1g1bRN1Wgr4eSq4f0OVUT_2nQEdFbk_Wj/view?usp=sharing
Level: PhD, MS, Internship, Research Visit
Keywords: Data Science, Machine Learning, Artificial Intelligence, Computer Science
Short bio / research interests / publications: I am a 4th-year student in the Faculty of Information Technology and Big Data Analysis at the Moscow Financial University. My main research areas are the medical application of AI techniques, NLP and Deep Learning.
Along with studying I work as a Middle Data Scientist at JSC Tochka. You may find the description of my work via the LinkedIn link above. Some of my achievements:

– EENLP: Cross-lingual Eastern European NLP Index (https://arxiv.org/abs/2108.02605)
– Fraud Detection: Using Artificial Intelligence to Identify Suspicious Persons Over the Phone (https://web.wpi.edu/Pubs/E-project/Available/E-project-051220-233043/)
– Secure Container for Data Protection in Transit and at Rest (SCDPTR) (https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxhY21tc2V8Z3g6NWY0N2I1NmNkNzRhNWFkMQ)
– Hawk (Named Entity Recognition for German documents) (https://github.com/ReAlex1902/Hawk)

Andreas Pavlogiannis

Email: pavlogiannis@cs.au.dk
Webpage: https://cs.au.dk/~pavlogiannis/
Position description: The Department of Computer Science at Aarhus University, Denmark, offers two PhD positions in the area of Algorithmic Verification. The research topics are focused on the automated analysis of concurrent systems, as well as algorithmic aspects of static analyses of sequential/concurrent programs. Applicants are expected to have strong analytical skills in Computer Science and a personal drive for research.

Admission can be on the basis of either a BSc or an MSc degree. Tuition is fully covered, and a generous stipend is provided for the full duration of the PhD.

Interested applicants at all levels are encouraged to contact pavlogiannis@cs.au.dk, enclosing a CV.

Next deadline: May 1, 2022
Application website: https://phd.nat.au.dk/for-applicants/open-calls/february-2022-1/re-advertisement-programming-language-design-analysis-and-verification-1
Information about our PhD program: http://phd.scitech.au.dk/for-applicants/application-guide/

Centre for Health Informatics, Macquarie Uni, Sydney

Email: shlomo.berkovsky@gmail.com
Webpage: https://www.mq.edu.au/research/research-centres-groups-and-facilities/healthy-people/centres/australian-institute-of-health-innovation/aihi-research-centres/health-informatics
Position description: We are looking for a Postdoctoral Fellow to contribute to an established program in AI and ML for precision healthcare. This is part of an NHMRC project on personalised diagnosis and treatment of neurological conditions using clinical and genomic data. PhD degree is required. Initially, 2-year appointment in Sydney, AU. Apply at https://lnkd.in/gy7aPEXU

Dmitry Evdokimov

Email: dmevdok@gmail.com
Website: https://www.linkedin.com/in/dmevdok
Link to CV: https://dmevdok.github.io/CV_Evdokimov_Dmitry.pdf
Level: PhD, Research Visit
Keywords: Machine Learning, Deep Learning, Generative Models, Experimental Physics, Natural Language Processing
Short bio / research interests / publications: Hi!

I’m a Machine Learning Researcher / Engineer with 3-year experience in Data Science industry (NLP). Currently I’m also finishing my master’s in Data Science working at the intersection of Deep Learning (generative models) and experimental physics in the Higher School of Economics. I left Russia, so doing it remotely.

I’m looking for a research position in Machine Learning (ideally, applied to Physics, Chemistry, Biology/Medicine, etc.). NLP-related positions are interesting for me too.

Feel free to contact me if you found my CV interesting.

Anton Naumov

Email: naumov.anton@phystech.edu
Website: https://github.com/vandedok
Link to CV: https://drive.google.com/file/d/1Pli75kh-MexyMBCi-I5DtUzIGILS0wFY/view?usp=drivesdk
Level: PhD, Research Visit
Keywords: Machine learning, Deep learning, Comuter Vision, AI for healthcare
Short bio / research interests / publications: Hello!

I am a ML researcher with primary focus on computer vision with applications in biology and healthcare. I am working in this area for several years in Ivannikov Institute for System Programming. Right I am mostly interested in object detection, self-supervised learning and generative modeling, however I have some industrial (non-research) experience with genetics.

I got my bachelors (MIPT) and masters (MIPT+Skoltech) degrees in applied mathematics and physics. My thesis are about superconductivity — I did some analytical research in Landau Institute for Theoretical Physics.

I hope to be useful in your projects. Feel free to get more detail from my CV or by contacting me by email.

Grigory Reznikov

Email: gritukan@gmail.com
Website:
Link to CV: https://drive.google.com/file/d/1Tdx7zyKwUYvwr6u32PtAiiY0e-5u5zxQ/view
Level: PhD, Research Visit
Keywords: Algorithms, computer science, complexity
Short bio / research interests / publications: I am a final year undergraduate student in National Research University Higher School of Economics and looking for PhD position in theoretical computer science. The areas of my research mostly include fine-grained complexity and circuit complexity, but I’m interested in algorithms and complexity in general. During my Master’s we were working on minimum circuit size problem with some of the results published in (https://drops.dagstuhl.de/opus/volltexte/2021/14616/pdf/LIPIcs-ESA-2021-35.pdf).

Monica Lechea

Email: monica.lechea@adaptcentre.ie
Webpage: https://www.adaptcentre.ie/careers/
Position description: The ADAPT Centre have a number of positions we are recruiting for and we welcome applications from potential students and researchers via https://www.adaptcentre.ie/careers/

Anna Klezovich

Email: belkannkl@gmail.com
Website: https://www.linkedin.com/in/anna-klezovich-116666196/
Link to CV: https://drive.google.com/file/d/1XdEIHzBEwZZIrhC50pjC9pfiqHMI53WL/view?usp=sharing
Level: PhD
Keywords: python, Data Science, NLP, machine translation, data augmentation
Short bio / research interests / publications: NLP developer, former sign language researcher. Working on low-resourced machine translation from sign language to spoken language. Also interested in data augmentarion, masked language modeling, BERT and co. Links to publications are in my CV.

Fatemeh Mohammadi

Email: fatemeh.mohammadi@ugent.be
Webpage: https://www.fatemehmohammadi.com
Position description: We have openings for several four-year PhD positions to start anytime in 2022. The successful candidates will work in Mathematics (in the area of Applied, Combinatorial, and Computational algebraic geometry) or Theoretical Computer Science at KU Leuven in Belgium. A master’s degree in Mathematics, Statistics, Physics, or Computer Science is required.

To apply, please send me an email with your CV and the university transcriptions.

See https://www.fatemehmohammadi.com/joining-my-group for more details.

Amir Goharshady

Email: goharshady@cse.ust.hk
Webpage: https://cse.hkust.edu.hk/admin/people/faculty/profile/goharshady
Position description: We have openings for multiple PhD and MPhil positions in Computer Science, Mathematics, and Financial Technology (FinTech). The CS and Math programs are based at our Clear Water Bay campus and the FinTech programs at the Guangzhou campus. We will happily accept candidates from Belarus, Russia and Ukraine. To apply, please send me an email with your CV and transcripts.

See our blog posts at https://codeforces.com/blog/HKUST-PL for more information.

Supratik Mukhopadhyay

Email: supratik@csc.lsu.edu
Webpage:
Position description: PhD Position for AI in Drug Discovery

Ekaterina Komendantskaya

Email: komendantskaya@gmail.com
Webpage: https://www.macs.hw.ac.uk/~ek19/
Position description: The Lab for AI and Verification (laiv.uk) at Heriot-Watt University, Edinburgh is looking to fill one PhD post. We are looking for a candidate with solid knowledge of Theorem Proving and/or Functional/Logic programming, and enthusiasm to apply this knowledge in the domain of Artificial Intelligence.

The post is for 4 years, starting in September 2022. It covers full stipend and PhD fees and is sponsored by the UKRI (ukri.org) and Schlumberger Cambridge (slb.com). The company will provide additional training and support during the PhD studies. Please direct all queries to Ekaterina Komendantskaya (ek19@hw.ac.uk) and Matthew Daggitt (md2006@hw.ac.uk) by the 3rd April 2022.

Patrick Eugster

Email: eugstp@usi.ch
Webpage: https://www.inf.usi.ch/faculty/eugstp/positions/SAP/ad.html
Position description: We have several open positions at the level of PhD student or postdoc as part of a broad collaboration with SAP on datacenter computing. Our hiring is a continuous process. Please check the webpage for further information and on how to apply. Internships/visits and support for MS students is also possible.

Gregory Emdin

Email: egd3700@mail.ru
Website:
Link to CV: https://drive.google.com/file/d/15xdut-MaZTShkH76C4Tq6uksMsT42LUc/view?usp=sharing
Level: PhD, MS, Research Visit
Keywords: Algorithms, computer science, combinatorics, lower bounds, boolean circuits
Short bio / research interests / publications: I’m a final year undergraduate student at Saint Petersburg State University looking for a magistracy or phd position in theoretical computer science. The areas of my research interest include algorithms, complexity, and combinatorics. Currently I’m working at St.Petersburg Department of Steklov Mathematical Institute of Russian Academy of Sciences, on development CircuitSat solver. We are now close to publishing a paper about lower bound for CNF encodings of parity function (https://arxiv.org/abs/2203.01082).

Andrei Kulumbetov

Email: 8wandrew8@gmail.com
Website: https://www.linkedin.com/in/andrew-kulumbetov-997b6b233/
Link to CV: https://www.linkedin.com/feed/update/urn:li:activity:6906688606359199744/
Level: MS
Keywords: masters,graduate,data science,time series
Short bio / research interests / publications: Primarily interested in Time Series smoothing, forecasting, clustering and classification with different applications.
– Currently doing research on «Time Series Clustering for investment portfolio
development»
Under the supervision of Lyudmila Gadasina, Qualification Paper
– Did research on «Cluster Analysis in identifying differences in tolerance rate and quality
of life among European countries»
Own research, planned for publication
– Did research on «System Dynamics for the analysis of Higher Education Management
System»
With support of Mariia Kozlova
– Did research on «Methods of evaluating the competitiveness of Russian Universities»
Under the supervision of Vladimir Khalin
– Did research on «ANOVA analysis to assess structural differences between higher
education institutions participating in “5-100” and others»
Own research
– Mathematical methods development for evaluating the success of the promotion of
Russian universities in QS, THE, and ARWU rankings
In collaboration with Leyla Hojatova and Polina Firsova, planned for publication
Under the supervision of Vladimir Khali

Divesh Aggarwal

Email:
Webpage: https://www.comp.nus.edu.sg/programmes/pg/phdcs/application/#applicaton
Position description: The Department of Computer Science and the Department of Information Systems and Analytics at NUS has several positions in all areas of computing and you can apply any time of the year. While the next admission cycle is Jan 2023, we can fast track some cases to August 2022, where feasible if you apply soon. For any other information, please write to phd-info@comp.nus.edu.sg. Even for cases where we are not able to accept officially as part of this cycle, there may be faculty that have grants with PhD slots available; or there may be faculty who could hire interns until the next official admission cycle. So, please mention in your statement of purpose if you wish to be considered for a short term internship position if your official start date is January 2023.

Balazs Szorenyi

Email: balazs.szorenyi@yahooinc.com
Webpage: https://research.yahoo.com/researchers/bszorenyi
Position description: Yahoo Research has open positions at two levels:

https://ouryahoo.wd5.myworkdayjobs.com/careers/job/US—Sunnyvale/Research-Scientist_JR0018330

https://ouryahoo.wd5.myworkdayjobs.com/careers/job/US—New-York/Sr-Research-Scientist_JR0018358-1

If you are interested, please contact us directly, sending your CV to balazs.szorenyi@yahooinc.com or krzysztof.dembczynski@yahooinc.com.

Young Kun Ko

Email: ykko@psu.edu
Webpage:
Position description: I am a newly appointed assistant professor working on complexity theory. I have 1-2 PhD student position available.

Aakash Bhatia

Email: aakashbhatia19@gmail.com
Website: https://www.github.com/aakashb1
Link to CV: https://drive.google.com/drive/folders/1l18yBnoB4GEvoUZY2nZxmmhIe3TAUtRt?usp=sharing
Level: PhD, MS, Internship, Research Visit
Keywords: Python, Data Science, Machine Learning
Short bio / research interests / publications: I was born in a family, where I was given liberty to pursue my interests which gave me the space to think freely and ask questions. From diving into textbooks to getting our hands dirty in the laboratory, I was always fascinated by the parallels we can draw in the two worlds. I studied hard and secured my B.Tech from Malviya National Institute of Technology Jaipur where I had the opportunity to study mathematics, thermodynamics, simulation etc.
In 2017, I moved to Pittsburgh to pursue my Masters of Sciences from Carnegie Mellon University which was a mix of course work and thesis. I chose Chemical Engineering because I was really fascinated by the research on mathematics performed by the faculty there. From attending lectures on optimizing large scale systems by Prof. Larry Biegler to implementing genetic algorithms to solve an NP-hard problem, the coursework really helped me build a foundation. Later, I also got the opportunity to work on my master’s thesis under the guidance of Prof. Nikolaos Sahinidis on an industrial text analytics problem for reliability. I also got an opportunity to take courses on deep learning and natural language processing which further helped me enhance my working knowledge on my thesis. The course also helped me get hands on experience on both text and utterances as input.
Adding to the academic background, I was involved in various hackathons that involved problems from the medical domain. One of which was to identify sleeping patterns in a healthy human’s sleeping cycle for which we in a team of 5 built a binary classification model utilizing a sliding window approach to feature engineer the data. The second was a natural language problem to identify the cancer site location based on a person’s diagnostic history, the event was in collaboration with a hospital in Pittsburgh.
At present, I hold a great deal of interests in machine learning. For example trying to understand how state of the art machine learning techniques can help gain better insights on underlying operational data. Although neural networks are tagged as universal approximators, one can still see varying performances in the domain of images and natural language. While challenging, I feel I would be able to contribute to the lab’s ongoing research with my interdisciplinary research and more than that learn the missing connections through the use of algorithmic techniques that form the core of many machine learning models out there.

Angelina Parfenova

Email: anyur.pa@gmail.com
Website:
Link to CV: https://drive.google.com/file/d/1Qny8pG6Ue_v5XK7AlMQAU-WNbSk3GcFB/view?usp=sharing
Level: PhD, Internship
Keywords: Data Science, NLP, Machine Learning, Computational social science
Short bio / research interests / publications: I am currently completing the second year of my Master’s degree at my home university National Research University Higher School of Economics, specialization – Data Science. Right now I am an exchange student in University of Grenoble, specialization – Applied mathematics.

I have a great desire to continue educational and scientific activities abroad.

My bachelor’s specialty is sociology, during which we mainly studied statistical methods. I enclose my CV and a sample of my works. One is a publication in the Q2 journal, where I used structural equation modeling to analyze behavioral characteristics during a pandemic. The second one is a term paper from last year. In computer science I am mostly dealing with NLP, currently working on an automation coding project for semi-structured interviews (https://github.com/Likich/TM_graph). However, I also have projects on computer vision (https://github.com/Dghitman/TipsTricks_Project_TrLights).

So far I have several publications and participated in international conferences, including the International Conference on Computational Social Science in the Netherlands, and participated in a summer school on computational social science from Montreal.

Recently I took part in a hackathon with a colleague where we wrote an OSINT that automatically scrapes news resources and extracts entities from them using NER, displaying everything in a graph (https://github.com/jademirror/ng_hackaton).

Institute of High Performance Computing, A*STAR, Singapore

Email: Tanvi_Verma@ihpc.a-star.edu.sg
Webpage: https://www.a-star.edu.sg/ihpc
Position description: We have multiple openings for reserach scientist (PhD) and research engineer (Master/Bachelor) positions for NLP and CV. Please reach out to the email above and apply directly using below links
https://careers.a-star.edu.sg/JobDetails.aspx?ID=tAfS4iMME1VBJ2tL%2brs%2bdw%3d%3d
https://careers.a-star.edu.sg/JobDetails.aspx?ID=0NUff1do%2bsRDtD2rGFQc9Q%3d%3d
https://careers.a-star.edu.sg/JobDetails.aspx?ID=HvMQAxjy1fUjPq%2fe0p%2b4kQ%3d%3d
https://careers.a-star.edu.sg/JobDetails.aspx?ID=H2AtM8TDdUJg2%2fL3iWmTKg%3d%3d

Talia Ringer

Email: tringer@illinois.edu
Webpage: https://dependenttyp.es
Position description: Visiting research programmer, ML/AI for the automatic generation and repair of proofs for the Coq proof assistant, Illinois, USA. Ad and application details: https://jobs.illinois.edu/academic-job-board/job-details?jobID=160335&job=visiting-research-programmer-computer-science-160335

Becky Stewart

Email: rss7@cornell.edu
Webpage: https://www.cs.cornell.edu/phd/admissions
Position description: PhD Graduate Study in Computer Science at Cornell University. Though our application process for students starting in Fall 2022 has closed, we will accept late applications from those affected by the war in Ukraine. Applicants should email rss7@cornell.edu for details on how to apply.

Timofey Trifonov

Email: timak474@gmail.com
Website: https://www.linkedin.com/in/timofey-trifonov-ba8231223/
Link to CV: https://resume.io/r/sr1XziSGZ
Level: PhD, MS, Internship, Research Visit
Keywords: Data science, Machine Learning, Computer Vision, NLP, Sound analysis, AI
Short bio / research interests / publications: I’m a final year (BSc) undergraduate student at Tyumen State University, majoring in Mathematics.
I’m looking for an MS/PhD position or an internship in Computer Vision, NLP or generalized – Machine learning.

At the moment I have almost 4 years of experience in the field of working with audio (speech recognition, synthesis, audio denoising, etc.). Currently I work in the international company “Voctiv” as a Middle+ Data Scientist, where I continue to engage in R&D.
While working as Data Scientist in the company, I learned to write clean code, which allowed me to write highload services in addition to research, and also helped to quickly implement (as well as correct and improve) the results of articles.

Also my recent articles/experiments and research activities:

– “NTI” grant for the development of a dialogue system with a reaction to the emotional coloring of speech.
– Article “g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection” (https://link.springer.com/chapter/10.1007%2F978-3-030-73696-5_12)
– Multimodal approaches in CV (GAN’s, VAE’s, etc.) for tasks of image generation
– Fine-tuning and building pipelines with VQ-VAE+CLIP, ruDALL-E, JukeBox, etc.
– Research in the field of building multimodal approaches in audio-text problems
(More info about my background can be found in CV)

I speak English fluently, recently started learning French.
Love learning and doing research!

Ekaterina Dagkesamanskaya

Email: dagkesamanskaya@gmail.com
Website:
Link to CV: https://github.com/dagkesamanskaya/dagkesamanskaya/blob/main/CV_Dagkesamanskaya_Ekaterina_Bioinformatician.pdf
Level: MS, Internship, Research Visit
Keywords: Bioinformatics, medical genomics, neurobiology
Short bio / research interests / publications: I am Life Sciences Master’s student at Skolkovo Institute of Science and Technology. I am looking for potential opportunities for continuing my research abroad a year before PhD. I completed the academic part of my Master’s education with 4.7/5.0 GPA and I am searching for M2 internships or transfers for the second year to do thesis research. I have experience in building bioinformatics pipelines, brain gene expression data analysis and interested in medical and evolutionary genomics. Feel free to contact me if you have any further questions.

Shay Solomon

Email: shayso@tauex.tau.ac.il
Webpage: https://sites.google.com/site/soloshay/home
Position description: Postdoc, visiting researcher and PhD positions in graph algorithms at Tel Aviv University, Israel. Please reach out to Shay Solomon directly with a CV and names of references.

Nitin Agarwal

Email: nxagarwal@ualr.edu
Webpage: https://cosmos.ualr.edu/, https://profiles.ualr.edu/na10/projects/
Position description: The Collaboratorium for Social Media and Online Behavioral Studies (COSMOS) Research Center at the University of Arkansas at Little Rock (UALR), US, is hiring graduate research assistants (full-time – 20h/week). COSMOS studies online misinformation campaigns, mostly within the scope of politics, defense, and healthcare. COSMOS has worked closely with the State during the COVID crisis, and the DoD during Euromaidan. As a graduate research assistant, you will contribute to the assessment of online information environments to examine tactics, techniques, and procedures deployed by adversarial information actors conducting disinformation campaigns; helping journalists, policy makers, and other members of the information community to develop countermeasures and/or report accurately on ongoing events. Good knowledge of programming (Python preferred) or expertise in statistics is required, and personal interest or experience in misinformation research, NLP, topic modeling, time series analysis, machine learning, or any other computational analysis techniques will be given preference. We will also consider candidates proficient in developing web applications (Python-Django, Java-Maverick, or JavaScript), or designing user interfaces. Candidates will need to be admitted to UALR and pursue either a MS or PhD (in most cases, for a CS/IS/BiS degree) to be hired.

Please send applications and resumes (with any other relevant documents based on your skill set: previous publications, github repositories, design portfolio, etc.) by email to Dr. Nitin Agarwal.

Ilya Sergey

Email: ilya@nus.edu.sg
Webpage: https://ilyasergey.net/
Position description: Multiple PhD/Postdoc/Intern positions at National University of Singapore on program analysis, synthesis and verification. More information at https://verse-lab.github.io/

Simon Apers

Email: simon.apers@irif.fr
Webpage: https://www.college-de-france.fr/site/programme-pause/PAUSE-Solidarite-Ukraine.htm
Position description: The French PAUSE program has launched an emergency call for hosting Ukrainian scientists in France. IRIF (Paris) is an institute for theoretical computer science that can function as a host institute for this program. If you wish to apply for this program, you can contact us directly at “relocation@listes.irif.fr”.

Alcides Fonseca

Email: me@alcidesfonseca.com
Webpage: https://www.lasige.pt/member/alcides-fonseca
Position description: Internship (MSc or PhD students), Research-visit, MS or PhD programs. I have two projects: one on verification of Machine Learning pipelines and the other on prediction of software energy consumption. Contact me directly.

University of Michigan, Ann Arbor

Email: mahdich@umich.edu
Webpage: https://theory.engin.umich.edu/
Position description: The University of Michigan CS theory group can consider Ph.D. positions in theoretical computer science (subject to approval). Our areas of interest include but aren’t limited to: Algorithms, Coding Theory, Cryptography, Randomness, Foundations of ML. Please contact us with your CV and a description of your interests and plans.

Tatiana Gaintseva

Email: gaintseva.t@gmail.com
Website: atmyre.github.io (just launched, articles, videos & podcasts are coming soon)
Link to CV: https://drive.google.com/file/d/1By0see-UbPHEq8hbhua63ikWM7lpTKv8/view?usp=sharing
Level: PhD
Keywords: phd, deep learning, ai, dl, multimodality, robustness, machine learning, research, computer vision, cv
Short bio / research interests / publications: My name is Tania, I’m 26 years old. I got bachelor’s and master’s diplomas in Moscow Institute of Physics and Technology, department of Innovations and High Technology. After that I have done internships at Yandex and Google (Yandex — DL research, Google — SRE) and have worked as DL researcher (computer vision) at Huawei R&D center. Currently I am working at Philips as DL researcher, specialising on CV. I have also started PhD at HSE, but then realised that the area of research was not interesting to me and I quit. During my PhD I’ve made a publication: https://peerj.com/articles/cs-274/ and a poster on ICLR: https://drive.google.com/file/d/1r2nDhkQLCpk32thTj2u23bjaa07KH1-o/view. More info about my background and work can be found in CV.

I am really passionate about DL research, I now feel it’s a job of my dream. I not only work as DL researcher, I also teach deep learning at DLSchool (dlschool.org, lessons’ videos: https://www.youtube.com/channel/UCFTNoZYjkg-3LZTHrHfV1nQ) and, from time to time, in other companies/schools. Besides, I do a podcast about aspects of a profession of DL researcher and write a blog in Telegram about research papers and innovation in DL (both in Russian currently). I also have launched a site: https://atmyre.github.io, where I plan to write articles related to DL

I’m currently looking for a PhD position related to DL research, as this would really boost my career as DL researcher. I would really love to have such opportunity.

Slava Gorchakov

Email: gorchakov.vv@phystech.edu
Website:
Link to CV: https://github.com/vgorchakov/CV/blob/main/CV.pdf
Level: MS, Internship
Keywords: Optimization, Operations Research, Chance-Constrained Optimization, Logistics, Data Vizualization, OPL, CPLEX, Gurobi, Flask
Short bio / research interests / publications: Hi! I am Slava. I am a four-year student at MIPT and I am looking for potential opportunities to continue my study. Master degree/Internship.
My passion is analysis, optimization, and modeling. My main experience lies in the domains of data science, operations research, and mathematical optimization.

Alexander Shirnin

Email: alexamailwork@gmail.com
Website:
Link to CV: https://github.com/25icecreamflavors/CV/blob/main/CV_ShirninAA_eng.pdf
Level: PhD, MS, Internship, Research Visit
Keywords: Data science, data analysis, machine learning, management, visualization
Short bio / research interests / publications: I’m a final year bachelor student at HSE Moscow (computer science). Currently I’m working as an intern researcher in a Laboratory for Models and Methods of Computational Pragmatics in HSE. I work there on my bachelor thesis “robustness of VQA models” with my team, we are planning a publication in several months.
I’m really concerned about the current situation and would like to find founded research positions or master’s programs abroad. I’m very interested in areas that combine management, technology and data analysis.

Aleks Malkhasov

Email: realex1902@gmail.com
Website: https://linkedin.com/in/alex-malkhasov
Link to CV: https://drive.google.com/file/d/1YPBftop_T8u2NdkcnipAml6PQTYGHEJQ/view?usp=sharing
Level: MS, Internship
Keywords: Data Science, Machine Learning, Artificial Intelligence, Computer Science
Short bio / research interests / publications: I am a 4th-year student in the Faculty of Information Technology and Big Data Analysis at the Moscow Financial University. My main research areas are the medical application of AI techniques, NLP and Deep Learning.
Along with studying I work as a Middle Data Scientist at JSC Tochka. You may find the description of my work via the LinkedIn link above. Some of my achievements:

– EENLP: Cross-lingual Eastern European NLP Index (https://arxiv.org/abs/2108.02605)
– Fraud Detection: Using Artificial Intelligence to Identify Suspicious Persons Over the Phone (https://web.wpi.edu/Pubs/E-project/Available/E-project-051220-233043/)
– Secure Container for Data Protection in Transit and at Rest (SCDPTR) (https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxhY21tc2V8Z3g6NWY0N2I1NmNkNzRhNWFkMQ)
– Hawk (Named Entity Recognition for German documents) (https://github.com/ReAlex1902/Hawk)

Sarah Neuwirth

Email: s.neuwirth@em.uni-frankfurt.de
Webpage: https://www.hipeac.net/jobs/13026/postdoc-in-quantum-computing-hpc/
Position description: The Modular Supercomputing and Quantum Computing (MSQC) Group at Goethe University Frankfurt, Germany is looking for a Postdoc (full-time) in the area of the design and use of quantum computers/algorithms in practical applications. Of particular interest are the design, porting, benchmarking and practical use of quantum algorithms, with a focus on those that use quantum computers/quantum annealers together with HPC systems in a hybrid way. The selected candidate will participate in the development of a software environment for interfacing quantum computing modules to modular HPC systems for use as accelerator technology in hybrid fashion, and for genuine hybrid QC-HPC algorithms.

The selected candidate will work in close collaboration with the Jülich Supercomputing Centre (JSC) in Germany! The MSQC group is led by Prof. Thomas Lippert, who is also the Director of the JSC.

The application deadline is March 15, 2022. Please send your application with the usual documents (curriculum vitae, certificates, list of publications) by e-mail until 15.03.2022 to: Prof. Dr. Dr. Thomas Lippert, Institute of Computer Science, lippert@fias.uni-frankfurt.de.

Mikhail

Email: solovyanov.mm@phystech.edu
Website:
Link to CV: https://github.com/mikprin/CV/blob/master/06-2021/cv.pdf
Level: PhD, MS, Internship, Research Visit
Keywords: electrical engineering, IC design, DSP, signals, PCB, IC, Circuits, electronics,devices, analog, MCU, embedded, programming, memory, neurointerface, Altium, KiCAD, python, C,C++, networks
Short bio / research interests / publications: • Interdisciplinary electrical engineer, programmer and scientist with skills and experience in electronics, programming, machine
learning, computer networks and measurements.
• Led development of a project resulting in a patent.
• Self-motivated, problem-solving and collaborative scientist with notable communication and management skills.
• Have no stress digging in interdisciplinary fields and learning new subjects on the fly.

Katya Artemova

Email: ekaterina.l.artemova@gmail.com
Website:
Link to CV: https://github.com/artemovae/cv/blob/main/EArtemova.pdf
Level: Research Visit
Keywords: natural language processing, natural language understanding
Short bio / research interests / publications: At the moment, I am a PostDoc researcher at the HSE University in Moscow. I earned my Ph.D. in CS from the Russian Academy of Sciences in 2016. My main research interests lie in the NLU and language models’ interpretation and evaluation areas. Here are my recent projects :

* Creation of the RussianSuperGLUE benchmark (EMNLP 2020);
* Out-of-domain detection for intent recognition (AAAI 2021);
* Multilingual probing analysis (*ACL workshops 2020-2021);
* Applications of topological data analysis to artificial text detection (EMNLP 2021);
* Evaluation of neural architecture search results for RNN-based language models (pre-print, 2021).

I have experience in organizing conference workshops and holding shared tasks. Other community service tasks I did are reviewing for *ACL conferences and workshops, LREC and multiple Q2/Q1 journal during a last few years.

Finally, I love teaching!

Aleksandr Ositsyn

Email: aleksandrositsyn@gmail.com
Website: https://www.linkedin.com/in/aleksandr-ositsyn-5b51761b8/
Link to CV: https://drive.google.com/file/d/1QukMOq3qVBi2fTQHJ9B5eezMdbbs8EFh/view
Level: PhD, MS, Internship
Keywords: Graph Representation Learning, Social Network Analysis, Graph Theory, Deep Learning, Machine Learning
Short bio / research interests / publications: I am a second year PhD student at Sobolev Institute of Mathematics. Previously, I have earned my BSc and MSc from NSU. During that time, I was engaged in research in the field of algebraic graph theory. I have presented my master’s theses on a local conference, later conference paper was published. Now I am doing research in the field of graph representation learning. Consequently, I am interested in all kinds of related disciplines, such as social network analysis, knowledge graphs, machine learning, etc.

Also, I have commercial experience doing data science and software engineering, so it would not be a problem for me to write clean code or implement models/algorithms from papers.

Svetla Boytcheva

Email: svetla.boytcheva@ontotext.com
Webpage: https://www.ontotext.com/
Position description: Funded internship positions and full-time contract positions in CS in Sirma AI trading as Ontotext with main focus in AI, ML, NLP, Semantic technologies, Graph analytics, Data Science, Java developers, Python developers, etc. Send me an email if interested.

Arielle Carr

Email: arg318@lehigh.edu
Webpage: http://www.cse.lehigh.edu/~acarr/
Position description: I have an opening for a PhD student to start Fall 2022 (potentially summer 2022). The student will engage in research focused on scientific computing, and specifically applied numerical analysis. Please email me directly with inquiries.

Aleksandrina Streltsova

Email: aleksandrina.strelczova@gmail.com
Website: https://github.com/aleksandrina-streltsova/
Link to CV: https://drive.google.com/file/d/1BUxHkaULkoVTNoO7LZ1kinxOIo847V7c/view?usp=sharing
Level: PhD, MS, Internship
Keywords: object tracking, photogrammetry, image processing, computational science, ML
Short bio / research interests / publications: I’m a final year undergraduate student at Saint Petersburg State University, majoring in Computer Science. I’m looking for an open MS/PhD position or an internship in computer vision, computational science or machine learning.

Kirk Roberts

Email: kirk.roberts@uth.tmc.edu
Webpage:
Position description: I have grant-funded openings in Houston, TX for postdocs interested in biomedical NLP and IR. Please send me an email to discuss potential projects.

Lorenzo De Carli

Email: ldecarli@wpi.edu
Webpage: https://web.cs.wpi.edu/~ldecarli/index.html
Position description: I am in incoming faculty at the University of Calgary, Canada. I will have a funded position in the Fall for one MS or PhD student. Required background in systems, software engineering or HCI. Topics of interest: human-centered IoT security, software supply chain security. Send me an email if interested.

University of New Hampshire, USA

Email: ruml@cs.unh.edu
Webpage: https://ceps.unh.edu/computer-science/
Position description: The Department of Computer Science at the University of New Hampshire might be able to host a visiting faculty member or postdoc for a semester. Preference would likely be given to those who could teach core CS classes in machine learning or data science. We are about an hour north of Boston, MA on the Boston – Portland train line.

Dongwon Lee

Email: dongwon@psu.edu
Webpage: https://pike.psu.edu/dongwon/
Position description: Penn State University, USA: Multiple openings for MS/PhD/PostDoc or visiting positions in (1) characterization, modeling, detection, and intervention of harmful contents (e.g., mis/disinformation, socialbots, fake reviews), and (2) study of neural artifact generation (e.g., deepfake, GPT) and its applications in authorship attribution and obfuscation.

Adam Smith

Email: ads22@bu.edu
Webpage: http://cs-people.bu.edu/ads22/
Position description: Postdoc and visiting researcher positions for 2022-23 in theoretical computer science, cryptography, and data privacy at Boston University. Please reach out to Adam Smith (ads22@bu.edu) with a CV and names of references. We can consider one-year “visiting researcher” positions for more senior candidates.

Raffaele Perego

Email: raffaele.perego@isti.cnr.it
Webpage: http://hpc.isti.cnr.it/~raffaele
Position description: Funded PhD and Post Doc positions are available at our lab for research focused on scalable information retrieval and sustainable AI. Please send me your CV if you are interested.

Gianmaria Silvello

Email: gianmaria.silvello@unipd.it
Webpage: http://www.dei.unipd.it/~silvello/
Position description: Requirement (Bachelor Degree) The second call for international students is open at The University of Padua (Italy) , apply here: https://apply.unipd.it/
Please apply to the course of your interest. The minimum requirement is a bachelor degree. There are also scholarships available for the top ranked students.

Requirement (Master Degree): The call for PhD students at the University of Padua is opening in May 2022, write here for more info: phd@unipd.it

Requirement (PhD in CS or CE): If you have a PhD in Computer Science/Engineering and you work in NLP, Information Retrieval or Database Systems with some publications in support, please contact me for more information on possible 2y postdoc positions.

Alexey Gordeev

Email: gordalserg@gmail.com
Website:
Link to CV: https://drive.google.com/file/d/1k4viKDP3leMoiMZYnxFat8VjH2L1I6xQ/view?usp=sharing
Level: PhD, Internship, Research Visit
Keywords: combinatorics, graph theory, optimization problems in geometry
Short bio / research interests / publications: I’m a researcher at PDMI RAS. I was planning to defend a PhD thesis this year, though I am not sure if and when it will happen now. My main areas of research are different application of polynomial method (Combinatorial Nullstellensatz, in particular) in combinatorics, (hyper)graph colorings and extremal problems, optimization problems in geometry (namely, maximal distance minimizers). Currently looking for a new PhD position, ideally, with preserving at least some of the progress I already have. I would also be very greatful for an opportunity for a research visit.

Christoph Lippert

Email: Christoph.Lippert@hpi.de
Webpage: https://hpi.de/lippert/home.html
Position description: We have open PhD and Postdoc positions in Machine Learning methods development and applications in health, genetics and genomics.

Anna Tarakanova

Email: anna.tarakanova@uconn.edu
Webpage: https://tarakanovagroup.org/
Position description: Funded PhD positions available at the University of Connecticut, in computational mechanics and materials, computational biomaterials design, multiscale modeling and related areas. If interested, please email me your CV and transcripts.

Dmitry Evtyushkin

Email: devtyushkin@wm.edu
Webpage: https://www.cs.wm.edu/~dmitry/
Position description: Funded PhD positions are available for research focused on computer security, specifically on systems, microarchitecture and hardware security. Please send me your CV if you are interested.

Ivan Mihajlin

Email: ivmihajlin@gmail.com
Website:
Link to CV: https://drive.google.com/file/d/1Nh-c4NjZ5bhiVTyMpudd7VsXmxRDID6x/view?usp=sharing
Level: Internship, Research Visit
Keywords: сomplexity, algorithms
Short bio / research interests / publications: I’m a researcher mostly interested in all the different flavors of complexity theory: circuit complexity, communication complexity, arithmetic complexity, structural complexity and fine-grained complexity. I also have considerable expirience in algorithm design. I’m currently not in a right state of mind to make any long-term commitments, but I’d very greatful for an oportunity for a research visit.

Anastasia Sofronova

Email: ana.a.sofronova@gmail.com
Website: http://asofronova.com
Link to CV: https://drive.google.com/file/d/1Kz3YOFYM8qd0hyWpjoERjSOpJk0d8gz3/view?usp=sharing
Level: PhD
Keywords: proof complexity, circuit complexity, formula complexity, communication complexity
Short bio / research interests / publications: I’m a first-year PhD student at PDMI RAS. I’m primarily interested in proof complexity, circuit and formula complexity. Currently looking for PhD position to start over.

Nick Zadubrovsky

Email: nikita.zadubrovskii@ufz.de
Website: https://www.linkedin.com/in/zadubrovsky/
Link to CV: https://drive.google.com/file/d/1W6OZNh5dy9TZTPeYzonF3_b09aVQchR1/view?usp=sharing
Level: PhD, Internship, Research Visit
Keywords: Machine Learning, Deep Learning, Software Engineering, Artificial Intelligence
Short bio / research interests / publications: Obtained both BSc and MSc in Applied Mathematics and Physics in MIPT. Worked on a side project with a UK-based R&D company as a programmer consultant; simultaneously worked as Software Developer Assistant at a similar company in Moscow. Worked on engineering computational soft (modules/microservices) and helped its integration into other software.

Now I am a ML/AI Research (Engineer) at Helmoltz Centre for Environmental Research, developing and implementing algorithms to predict possible pathalogical outcomes in humans. Next year (Autumn 2023) my contract expires (I got selected for an advanced, Post-Doc-level compareble position) and I am looking for further academic (PhD) / industrial oportunities.

My interests span from the basics of Computer Science to state-of-the-art AI and ML/DL (both fundamentals and applications). Moreover, I am interested in IT/Cybersecurity and applications of Deep Learning to it. Put short, I adapt easily to a new research/working context and can accustom my interim and long-term goals within the majors above.

Languages: English — almost bilingual (CPE Certificate), German — fluent (limited working proficiency though).

Sergey Novozhilov

Email: novozhilov1999@mail.ru
Website:
Link to CV:
Level: MS, Internship
Keywords: TCS, computational complexity, proof complexity, algorithms, probability theory
Short bio / research interests / publications: I got my bachelor’s degree in pure mathematics last summer at Saint Petersburg State University with average mark 4.8 out of 5 (and all marks are not less than 4). I am currently in my first year of MS in mathematics. I am interested in research in the field of computational complexity theory. During undergraduate school I also studied probability theory (more specifically stochastic processes).

I am primarily interested in transferring or restarting my MS studies.

Also I have some engineering experience. I contributed linear algebra algorithms to open source linear algebra library: https://github.com/Kotlin/multik (my github profile: polka125)

Ami Wiesel

Email: first_name.last_name@mail.huji.ac.il
Webpage: https://www.cs.huji.ac.il/~amiw/
Position description: Contact me directly for positions in CS or EE, Hebrew University, Israel. I will try to refer you to the right contacts given your background.

German Magai

Email: gera128a@gmail.com
Website: https://github.com/Germandev55
Link to CV: https://drive.google.com/file/d/12rd8N2p1QMvIR7jPkMXnoXclbzGMgUgt/view?usp=sharing
Level: PhD, Internship, Research Visit
Keywords: Deep learning theory, Computer vision (CV), Topology and geometry in deep learning, topological data analysis (TDA), Generative models, Face recognition and object detection
Short bio / research interests / publications: I am a second year Ph.D. student at the Higher School of Economics (Moscow), and I am interested in deep learning, computer vision, and algebraic topology methods in computer science. Previously, I worked as a research engineer in the field of computer vision. The topic of my master’s thesis was related to face recognition systems and methods of protection against attacks on these systems. I am looking for a PhD position or a research engineer position.

My research interests include the following topics:
1) Theoretical issues of deep learning (interpretability and explainability of deep neural network (DNN) models, convergence, evaluation of generalizing ability)
2) Application of algebraic topology and geometry methods to analyze deep learning models (CNNs, Vision Transformers) and evaluate the quality and performance of DNN models.
3) Generative learning. GAN performance evaluation problems and other related theoretical issues.
4) Face recognition systems, anti-spoofing algorithms, as well as object recognition and detection (gestures, clothes, etc.)

Egor Gorbachev

Email: peltorator@gmail.com
Website:
Link to CV: https://peltorator.ru/Egor_Gorbachev_resume.pdf
Level: PhD, MS
Keywords: TCS, theoretical computer science, algorithms
Short bio / research interests / publications: I’m finishing my final year of undergraduate computer science at Saint Petersburg State university this summer and looking for any open master/PhD positions in theoretical computer science. I’m mostly interested in algorithms and complexity theory.

Ivan Nazarov

Email: ivan.nazarov@skolkovotech.ru
Website: https://github.com/ivannz
Link to CV: https://github.com/ivannz/CV/blob/main/nazarov_eng.pdf
Level: PhD, Research Visit
Keywords: RL, ML, optimization, sparsification, hierarchical RL
Short bio / research interests / publications: I am a 35 year old with 12 year working experience. I have been deeply immersed in machine learning for the last seven years, during which worked on various project, both industrial and theoretically inclined, aimed at optimization and sparsification methods for DL.

I have successfully completed my PhD studies on “applied mathematics, computer science and engineering” at Skoltech in 2020. My PhD thesis on the topic of model sparsification: sparse-regularized matrix decompositions, variational dropout, and parameter pruning methods based on second-order loss approximation. I have one major paper at ICML2020 (https://proceedings.mlr.press/v119/nazarov20a.html) about variational Dropout for complex-valued deep networks.

In the last year i have been consumed by the exciting and challenging field of Reinforcement Learning and Optimal Control, specifically hierarchical policies, planning, MCTS and adaptive computations. My team took first place in the recent NeurIPS Nethack Challenge for our hybrid algorithmic-neural solution.

Aleksandra Novikova

Email: aleksnovikova@gmail.com
Website:
Link to CV: https://github.com/AlyaNovikova/portfolio/blob/main/Aleksandra_Novikova.pdf
Level: PhD, MS
Keywords: machine learning, deep learning, computer vision, natural language processing, computer science, bioinformatics
Short bio / research interests / publications: I’m a final year undergraduate computer science student at St. Petersburg State University looking for an MS/PhD position in machine learning or computer vision. I’m generally interested in any area of computer science.

Currently, I’m working on Sketch-based character pose estimation using artificial neural networks. I also developed a tensor linear algebra library for machine learning in Kotlin at JetBrains Research.

Svyatoslav Gryaznov

Email: svyatoslav.i.gryaznov@gmail.com
Website: https://nightuser.fun (work in progress, will be updated soon)
Link to CV: https://nightuser.fun/cv.pdf (backup: https://drive.google.com/file/d/1t0Unt-sPKuNm5U0AsrX5XHtt2HA3bswX/view?usp=sharing)
Level: PhD, Internship
Keywords: TCS,PhD,combinatorics,proof theory,circuit complexity
Short bio / research interests / publications: I am a PhD student at PDMI RAS primarily interested in TCS and combinatorics. My latest research was devoted to proof systems–in particular, Res-Lin proof system over finite fields and related computational models extending branching programs–and circuit complexity–one of the last paper (joint work) explores Valiant’s program posing a combinatorial hypergraph-related problem. The latter work also involves a few problems related to extremal graph theory, which seem to be interesting on their own. Overall, my research interests include algebraic proof systems, Boolean function complexity (in particular, progress towards strong AC0-Xor lower bounds), extremal combinatorics. See CV or https://dblp.org/pid/243/3837.html for a list of publications related to TCS.

Gagan Agrawal

Email: gagrawal@augusta.edu
Webpage: https://www.augusta.edu/ccs/
Position description: Many funded PhD positions are open at Augusta University’s new school of computer and cyber sciences, spanning distributed computing, cybersecurity, high performance computing, machine learning, software engineering, and other areas. Please get in touch with me with your interests and I will connect you with faculty members.

Sebastian Schelter

Email: s.schelter@uva.nl
Webpage: https://ssc.io
Position description: We have an open fully-funded PhD position for four years at the University of Amsterdam, to work on problems at the intersection of responsible data management and NLP for mental health data. See the job ad for details. It should in principle be possible to start earlier than advertised:

https://vacatures.uva.nl/UvA/job/PhD-Position-in-Responsible-Natural-Language-Processing-and-Data-Management-for-Mental-Health/742588402/

VALERII MARCHENKOV

Email: VMarchenkoff@gmail.com
Website:
Link to CV: https://www.linkedin.com/in/vmarchenkoff/
Level: PhD, Internship
Keywords: Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP), Computer Vision (CV), Classic ML Algorithms, Math, Statistics, Mechanical Engineering, Strength of Materials, Education, Teaching, Materials, Lectures.
Short bio / research interests / publications: Currently I am a Data Scientist at S7 Airlines (S7 TechLab department). Work on aircraft engines data in terms of fuel efficiency and predictive maintenance problems.
Also, second year student of master’s program in Computer Science and Data Analysis and Teaching Assistant in Machine Learning courses Moscow Institute of Physics and Technology.
Boeing Structural Analysis Engineer in the past. Proficiency in airframe design, static strength and fatigue analysis. Cumulative year of months-long business trips to on-site support of assembly lines in Everett, WA (USA).
First complete higher education (Engineer’s degree) was received in Mechanical Engineering at Bauman Moscow State Technical University in 2013.

Berenger Bramas

Email: berenger.bramas@inria.fr
Webpage: https://jobs.inria.fr/public/classic/en/offres/2022-04356
Position description: I have the funds for a PhD position (3 years, which is the usual duration in France) in Strasbourg. If needed, I can fund an internship before that (so MS intern followed by PhD). The only constraint is that the PhD must start before October. The topic is really turned R&D with parallelization, algorithm and C++. As Ukrainian, just send your CV in the application (no need for cover letter or marks or recommendation letters, to speed up the process).
https://jobs.inria.fr/public/classic/en/offres/2022-04356

Vitalii Aksenov

Email: viviaxenov@gmail.com
Website: https://github.com/viviaxenov
Link to CV: https://www.overleaf.com/read/rpwtrgcmdmgr
Level: PhD
Keywords: Applied Mathematics, Scientific Computing, Numerical Analysis, Inverse Problems, Optimization
Short bio / research interests / publications: I’ve obtained my Bachelor’s degree and will be getting my Master’s degree in July 2022, both from Moscow Institute of Physics and Technology. My field of study is Applied Mathematics and Physics. I’m searching for a PhD position in numerical analysis, in particular, solution of Inverse Problems. My current research is devoted to solving a coefficient inverse problem for a thin composite plate. I have 3 published papers, details here https://orcid.org/my-orcid?orcid=0000-0003-4977-101X

Daniil Cherniavskii

Email: Daniil.Cherniavskii@skoltech.ru
Website:
Link to CV: https://github.com/danchern97/CV/blob/master/AcademicCV.pdf
Level: PhD
Keywords: Topological Data Analysis, Geometric Deep Learning, NLP
Short bio / research interests / publications: I am getting my masters degree in Data Science at Skoltech and I earned my bachelor degree at MIPT. My paper on merging topological data analysis with natural language processing got accepted to EMNLP 2021. I also worked at Huawei and I am currently employed as junior researcher at AIRI. My research interests mostly lie in the fields of TDA and representation learning, but are not limited by them!

Dmitrii Babichev

Email: shiftdmitryalt@gmail.com
Website: https://www.linkedin.com/in/dmitry-babichev-59207a145/
Link to CV: https://www.dropbox.com/s/gn7co0jmouoza05/BabichevDO.pdf?dl=0
Level: PhD
Keywords: machine learning, deep learning, natural language processing, computer vision, generative models
Short bio / research interests / publications: My name is Babichev Dmitry (but in passport it spells ‘Dmitrii’), I have bachelor and master degree in computer science from MSU and HSE, have some research experience (worked in Samsung AI Center for a year). I’m looking for an PhD position with TA. Also I have 2 accepted papers (and 2 rejected 🙂 ). ANd I have passed IELTS Academic, total score 7.0

Vijay Singh

Email: v.singh@vt.edu
Webpage: https://www.arec.vaes.vt.edu/arec/eastern-shore/people/vijay-singh.html
Position description: Description : Fully funded Masters in Life Science and Computer Science. Student can enroll for double Master’s at Virginia Tech. Student will have to work on interdisciplinary projects . Must have Bachelor’s in Computer Science/Mechanical Engineering/Agriculture Engineering or related field . Requires skills: Python, Computer Vision, Machine Learning, Optional: Knowledge of Agriculture Science .

Alexander Loginov

Email: lxndrloginov@gmail.com
Website: https://github.com/Loganche
Link to CV: https://github.com/Loganche/cv
Level: MS, Internship
Keywords: ML, NLP, Multithreading, Concurrency
Short bio / research interests / publications: I’m a 3rd year BA student at ITMO University in Saint-Petersburg. Currently, I’m seeking an MS degree outside Russia and an internship. I was working on a project using NLP in mobile apps and Telegram bots. Now I’m working on a streaming service project using C++ multithreading.

Anna Aksenova

Email: aksanna_a@mail.ru
Website:
Link to CV: https://drive.google.com/file/d/1k_Q-ckuCcflgtBWJEj18ZUVlVUcS3SwS/view?usp=drivesdk
Level: PhD, MS, Internship
Keywords: NLP, Conversational AI, WSI, Frame Semantics
Short bio / research interests / publications: I am currently finishing my Bachelor degree in Computational Linguistics. I am also working in the biggest Russian bank company. I recently transferred from Data Analyst position to ML Engeneer. Now I am responsible for intent recogniser and node classificators in voice assistant. My major areas of interest are probing, computational semantics and conversational AI.

Jeff Dalton

Email: jeff.dalton@glasgow.ac.uk
Webpage: https://grilllab.ai/
Position description: We work in conversational AI and language processing. We have an open post-doc position (deadline extended to 17th march); we also have possible positions for PhD students and a research software engineer.

Ekaterina Taktasheva

Email: evtaktasheva@gmail.com
Website: https://github.com/evtaktasheva
Link to CV: https://github.com/evtaktasheva/cv/blob/main/CV.pdf
Level: PhD, MS, Internship
Keywords: NLP, Computational Linguistics, ML
Short bio / research interests / publications: I am a 4th year undergrad student at the HSE University, Moscow, majoring in Theoretical and Computational Linguistics. Looking for a MS or PhD positions in NLP and Computer Science. Currently I am a research assistant in the Core NLP Team at the Artificial Intelligence Research Institute (Moscow, Russia), where I am working on test data transformations for NLU benchmarks such as RussianSuperGLUE. Previously worked on probing of the Transformer models at Sber and Knowledge Graph Extraction at DeepPavlov. Refer to CV for more details.

Artur Riazanov

Email: tunyash@gmail.com
Website: https://tunyash.github.io/
Link to CV:
Level: PhD
Keywords: complexity, phd
Short bio / research interests / publications: I am interested in proof complexity and complexity in general.

Diptarka Chakraborty

Email: diptarka@comp.nus.edu.sg
Webpage: https://sites.google.com/view/diptarka/
Position description: Postdoc positions on theoretical computer science are available in my research group at National University of Singapore. For the details, please refer to https://sites.google.com/view/diptarka/postdoc-advertisement

Abhik Roychoudhury

Email: abhik@comp.nus.edu.sg
Webpage: https://abhikrc.com/
Position description: Multiple PhD and Post-doctoral positions are available in the research group which focuses on Programming Languages, Software Engineering and Program Analysis. Many of these positions are part of a 5 year research program on Trustworthy Automated Program Repair which will run 2022-27. The details of this program can be found from https://abhikrc.com/projects/Repair/index.html and from https://nus-apr.github.io/

Houssam Abbas

Email: abbasho@oregonstate.edu
Webpage: http://www.houssamabbas.com/
Position description: PhD position (funded) in CS, AI, ECE or Robotics at Oregon State University. Research is on autonomous robots: control, formal verification and safety monitoring. We also work on AI ethics. Position appropriate for students with strong mathematical skills. Please email me your CV and transcripts.

Alan Zaoxing Liu

Email: zaoxing@bu.edu
Webpage: https://zaoxing.github.io/
Position description: I’m an assistant professor at Boston University working on cloud systems, data center networking, and 5G. My team is recruiting!! If any students or postdocs or research scientists are interested in relevant research, send me an email with your CV, and we can go from there.

Thomas G. Dietterich

Email: tgd@cs.orst.edu
Webpage: https://web.engr.oregonstate.edu/~tgd/
Position description: MS or PhD student paid research assistantship for at least 1 year; Oregon State University EECS Collaborative Robotics and Intelligent Systems (CoRIS) Institute. Research in deep anomaly detection in computer vision/object recognition and activity recognition. Contact by email. See my web page (new students section) for qualifications

Fraser Brown

Email: fraserb@andrew.cmu.edu
Webpage: https://web.stanford.edu/~mlfbrown/
Position description: I’m an incoming (Fall ’22) professor at CMU working on systems/PL/security topics (e.g., verifying parts of real systems, automatically finding bugs). Any students, postdocs, or research scientists interested in these topics should send me an email and attach their CV! We can figure it out from there.

Aloizio Pereira da Silva

Email: aloiziops@vt.edu
Webpage:
Position description: Two Ph.D. positions open at CCI xG Testbed on Next Generation of Cellular Communication Network, New Radio Systems, AI/ML applied to network infrastructure, Cybersecurity, Autonomous and intelligent system. The student is required to work on real proof of concept. If interested share your CV and Transcript via email.

Anton Paramonov

Email: anton-paramonov2000@yandex.ru
Website:
Link to CV: https://github.com/werty144/portfolio/blob/master/cv.pdf
Level: PhD, MS
Keywords: Algorithms, computer science, combinatorics
Short bio / research interests / publications: I’m a final year undergraduate student at Saint Petersburg State University looking for a magistracy or phd position in theoretical computer science. The areas of my research interest include algorithms, complexity, and combinatorics. Currently I’m working at ITMO Univeristy, Saint Petersburg, on online algorithms for graph embeddings and a generalization of Minimum Linear Arrangement concept. We are now close to publishing a paper on that.

Vanya Pavlov

Email: pavlov200912@gmail.com
Website: https://pavlov200912.github.io
Link to CV: https://www.dropbox.com/s/xp32ov1timlfett/Ivan_s_Resume.pdf?dl=0
Level: PhD, MS
Keywords: machine learning, natural language processing, computer science,bioinformatics
Short bio / research interests / publications: I’m a final year undergraduate computer science student at Saint Petersburg State University looking for a ms/phd position in machine learning or bioinformatics.
The areas of my research interest include natural language processing and machine learning. Currently, I’m working on machine learning applications for software engineering domain. Together with my advisor, I’ve worked on the problem of detecting inconsistent comments in source code and collected the largest dataset in the research area.