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Jobs Posted on the Whova Community Board of The 11th International Conference on Learning Representations (ICLR)

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PostDoctoral Researchers in AI, Computer Vision, Computational Photography
CAIDAS, University of Wurzburg
Prof.Dr. Radu Timofte, from the newly established Center for Artificial Intelligence and Data Science , University of Wurzburg, is looking for outstanding candidates to fill several new postdoctoral and doctoral researcher (PhD student) fully-funded positions in the AI, computer vision, computational photography and machine learning fields.

Research Topics:
• deep learning
• computational photography
• domain translation
• learned image/video compression
• image/video super-resolution
• learning paradigms
• 3D
• image/video understanding
• augmented and mixed reality
• edge inference and mobile AI
• super-resolution microscopy
The tasks will involve designing, developing, and testing novel ideas and solutions in cutting edge research, as well as coordinating and conducting data collection for their evaluation when necessary. The successful candidate will conduct research on deep learning machines and a new cluster with hundreds of GPUs.

The positions are open immediately, fully funded, the salaries of the doctoral students and postdocs are competitive on the German scales TV-L E13 and E14, from 50k up to 75k euros per year, before tax.
Typically, it takes ~4 years to complete a PhD and a postdoc position is for at least 1 year.

Check for all the details at:
https://www.informatik.uni-wuerzburg.de/computervision/open-positions/
Link: https://www.informatik.uni-wuerzburg.de/computervision/open-positions/
Doctoral Researchers in AI, Computer Vision, Computational Photography
CAIDAS, University of Wurzburg
Prof.Dr. Radu Timofte, from the newly established Center for Artificial Intelligence and Data Science , University of Wurzburg, is looking for outstanding candidates to fill several new postdoctoral and doctoral researcher (PhD student) fully-funded positions in the AI, computer vision, computational photography and machine learning fields.

Research Topics:
• deep learning
• computational photography
• domain translation
• learned image/video compression
• image/video super-resolution
• learning paradigms
• 3D
• image/video understanding
• augmented and mixed reality
• edge inference and mobile AI
• super-resolution microscopy
The tasks will involve designing, developing, and testing novel ideas and solutions in cutting edge research, as well as coordinating and conducting data collection for their evaluation when necessary. The successful candidate will conduct research on deep learning machines and a new cluster with hundreds of GPUs.

The positions are open immediately, fully funded, the salaries of the doctoral students and postdocs are competitive on the German scales TV-L E13 and E14, from 50k up to 75k euros per year, before tax.
Typically, it takes ~4 years to complete a PhD and a postdoc position is for at least 1 year.

Check for all the details at:
https://www.informatik.uni-wuerzburg.de/computervision/open-positions/
Link: https://www.informatik.uni-wuerzburg.de/computervision/open-positions/
PhD at national university of Singapore
national university of Singapore
Hi this is Dianbo,an incoming assistant professor at National University of Singapore, I am recruiting multiple PhDs working on foundamental ML and ML for biomedical sciences ,if you are interested please send me an email at dianbo.liu@alumni.harvard.edu Thanks
Link: dianboliu.github.io
Postdoc position on deep learning for ecological modeling
Inria
Come talk to us at the poster sesssion of the worshop on Tackling Climate Change with Machine Learning! Poster at the auditorium, poster number 182!

The Pl@ntNet team is looking for a post-doc with strong skills in machine learning (ideally in deep learning and Bayesian models), ecology and Python development. Pl@ntNet is a citizen observatory of plant biodiversity and a research platform at the crossroads of data science, ecology and artificial intelligence. The Pl@ntNet mobile application is used by tens of millions of users worldwide.

You will work mainly in the Montpellier Computer Science Laboratory (LIRMM) as a starting researcher at Inria. Inria is a major player in computer science research worldwide; it is the managing organization of the Pl@ntNet consortium.
You will work in a quite unique environment at the forefront of digital technologies for biodiversity management. In particular, you will work in the context of the B3 EU project aimed at mobilizing biodiversity data cubes in conjunction with other environmental data and scenarios, as the basis for models and indicators of past, current and future biodiversity.

You will interact regularly with the two senior researchers at Inria (Alexis Joly and Diego Marcos) and periodically with the ecologists, engineers and other researchers involved in Pl@ntNet and B3.

MAIN TASKS

Design of AI models mixing deep learning (transformers) and Bayesian Belief Networks
structuring of large-scale multi-modal training data sets.

Experimentation of the designed models (on super-computer).

Results dissemnitation (scientific publication(s), models/data sharing, conferences, etc.) .

Participation to the general meetings of the B3 EU project.
Link: https://recrutement.inria.fr/public/classic/fr/offres/2023-05873
PhD position in efficient machine learning
Ruhr University Bochum
We are looking for excellent and highly motivated PhD students to join the Department of Computer Science, Ruhr University Bochum.

As a PhD student, you will work on developing state-of-the-art machine learning models that can scale while being energy-efficient. These models will be based on core design principles of sparsity and asynchrony and take inspiration from biology/neuroscience. The work will be done in collaboration with academic and industry groups that develop biology-inspired low-energy neuromorphic hardware.

The appointment will be for three years, starting as soon as possible. Salary is 75% of salary scale TV-L E13.

Contact me for more information.
PhD position - Sparse Training - Neural Networks
University of Luxembourg
Happy to announce that we have an open PhD position on Sparse Training and Deep Neural Networks with employee status. The PhD topic is flexible. The application deadline is 15 May 2023.

For more details please check the link, contact me on Whova, or pass by to the Sparsity in Neural Networks (SNN) workshop on Friday, 5 May, room AD12.
Link: https://recruitment.uni.lu/en/details.html?nPostingId=83876&nPostingTargetId=122636
Postdoc in neural data science
NTNU - math department
Develop methods to analyze large population neural data from ephys recordings in behaving rodents. Funding available for 3 years. Flexible start date. Email me if you are interested.
Link: None
Post Doc Fellow in Reasoning DL4Code LLMs
TCS Research
At Deep Learning and AI Research Area at TCS Research (industrial Research Lab) we have been working on veriety of problems in the domain of DL4CODE, Resoning, Program Synthesis and Sematic Parsing, with the uasage of LLMs wherever appropritate. Interested candidates please contact manasi.patwardhan@tcs.com shirish.karande@tcs.com
Postdoctoral researcher: Security and Robustness of Machine Learning
Karlsruhe Institute of Technology (KIT)
The ”Intelligent System Security“ research group works at the intersection of machine learning and computer security. Next, to applying learning-based methods for computer security tasks, we are particularly interested in the robustness and security of machine learning methods themselves. Here, we are looking to reinforce our team.

Area of responsibility:
• Independent research on the security and robustness of machine learning
• Assistance with the coordination of research projects.

Requirements:
• Strong expertise in machine learning (e.g., adversarial robust learning, explainable machine learning, ...)
• Publications in leading conferences (A*/A)
• Very good communication skills in English
• Creativity and team player skills
• Enthusiasm for conducting cutting-edge research

Please contact us for more information.
Link: https://intellisec.de/jobs/postdoc-secml-en.html
DeepMind Academic Fellow - Imperial College London
Imperial College London
TL;DR: 3-year independent research fellow, you set your own research agenda and do your own research.

Additionally you are encouraged to collaborate with other faculty members and researchers, and you will have opportunities to e.g., (co-)supervise PhD/MSc students.

Think about it as an independent super post-doc position.

Closing date: May 15, 2023

We especially encourage applications from those who are in under-represented groups, including those who identify as Women and/or Black.

Find Yingzhen Li (yingzhen.li@imperial.ac.uk) at the conference (May 1-5) if interested and have questions.
Link: https://www.imperial.ac.uk/jobs/description/ENG02574/deepmind-academic-fellow/
Postdoc in RL for sim2real and related topics
ISAE-SUPAERO, University of Toulouse
Postdoc in Reinforcement Learning for sim2real and related topics

Applications are invited for a full-time post-doctoral research position in the Supaero Reinforcement Learning Initiative, at ISAE-SUPAERO, Toulouse, France. Funding is secured for a 3 year position (the appointment can be shorter if needed) on a project which aims at reliability in sim2real transfer in RL.

General motivation for the project is sim2real transfer and real-life RL. Current research interests are listed below but the research agenda is quite open and can include new directions brought by the postdoc applicant. We are interested in designing new methods for domain adaptation/generalization in RL, to enable efficient transfer to unseen states or new MDPs. Recent work in the team on representation learning for generalization and transfer can be further developed. Robust MDPs and robust RL are also on the agenda, as well as mathematical programming formulations in RL. Finally, the project also aims at contributions to data-frugal RL. Besides these key topics, the research agenda is quite flexible and open; both theoretical and applied work is of interest. Preferred applications concern mobile robotics but extensions to other applications are possible.

Keywords: sim2real, domain adaptation/generalization, transfer, robust RL, data frugality, representation learning for generalization.
Link: https://sureli.isae-supaero.fr/postdoc2023
Postdoc position « Accurate detection of precise spiking motifs in neurobiological data »
AMU CNRS
Dear colleagues,

Applications are welcome for a fully funded post-doctoral position at INT in Marseille, France. Your mission will be to build an algorithm for the accurate detection of precise spiking motifs in neurobiological data. The project is funded by the polychronies grant (AMX-21-RID-025) and will be coordinated by Laurent Perrinet along with Thomas Schatz (theory) and Rosa Cossart (neurobiology).

Candidates should have experience in computational neuroscience, physics, engineering, or related fields, and a strong background in machine learning. The candidate must have good computer science skills (programming skills, git versioning, …) Python programming experience is required. A multidisciplinary background would be highly appreciated, especially an advanced knowledge of mathematics. The candidate must have a strong interest in neuroscience. The candidate must be fluent in English and willing to proactively interact with partners in different communities, including theoretical neuroscience, machine learning, or neurobiology. The preferred candidate should have the ability to work autonomously and be flexible to adapt to the working methods of the supervisors.

To obtain further information, please visit https://laurentperrinet.github.io/post/2023-05-01_postdoc-position_polychronies. To candidate, contact me @ Laurent.Perrinet@univ-amu.fr and provide a synthetic letter of motivation and a CV. I always respond, usually in less than one week, so please contact me again in case you did not hear from me. Ideal starting date is October 1st, 2023, but may be flexibly arranged to suit the candidate. The appointment is for 18 months and applications are welcome immediately.

Thanks for distributing this announcement to potential candidates!
Link: https://laurentperrinet.github.io/post/2023-05-01_postdoc-position_polychronies/
POSTDOC POSITION IN CONTINUAL LEARNING OR DIFFUSION MODELS IN BARCELONA
Computer Vision Center Barcelona
Postdoc position in LAMP in the Computer Vision Center, Barcelona. The exact subject of the postdoc can be defined between the supervisor and the candidate, but should be related with one of the following main research lines of LAMP:

- Diffusion models for image generation
- Continual learning of deep neural networks

Candidates should be no older than 30, and the position needs to be started before September 2023. For informal inquiries, email me (joost@cvc.uab.es).
Link: https://www.cvc.uab.es/blog/2023/04/24/investigo-post-doc-learning-and-machine-perception-group/
Artificial Intelligence Translational Data Scientist
Novartis
We are seeking an enthusiastic Artificial Intelligence (AI) expert with a curiosity about translational and early-stage clinical work supporting our groundbreaking oncology drug discovery programs. You will join the Oncology Data Science team at NIBR Oncology, an outstanding collaborative environment with supportive and enthusiastic colleagues who will help your AI models achieve real-world impact.

Requires experience working with multi-modal patient data (‘omics as well as histology and clinical data), knowledge of biological sciences, preferably with regards to oncology.
Link: https://www.novartis.com/us-en/careers/career-search/job-details/361047br/artificial-intelligence-translational-data-scientist
Staff Machine Learning Engineer
Altos Labs
https://boards.greenhouse.io/altoslabs/jobs/4813555004
Link: https://boards.greenhouse.io/altoslabs/jobs/4813555004
Research Fellow in Machine Learning for Weather/Climate Science
UCL
Climate change is one of the key challenges of the 21st century, and climate action is one of the UN’s sustainable development goals. The goal of this project is to work with climate and environmental data and work with collaborators toward better statistical climate modeling and data-driven forecasting. This project lies at the intersection of climate/environmental science and statistical machine learning. Research could include building scalable probabilistic surrogate models, scalable probabilistic message passing algorithms, building efficient inference algorithms. Application areas could be statistical downscaling, data assimilation, modelling of weather or oceans, nuclear fusion. You will be given time for personal studies, preparation of research papers and presentation of papers at conferences to further your academic career. 
Link: https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?nPostingId=3344&nPostingTargetId=6338&id=Q1KFK026203F3VBQBLO8M8M07&LG=UK&mask=ext
Postdoctoral researcher in Trustworthy ML
Okinawa Institute of Science and Technology
We are seeking a highly qualified and motivated postdoctoral researcher in the field of computer vision or machine learning to join our dynamic research team. The successful candidate will have the opportunity to work on cutting-edge projects and contribute to the advancement of our research in this field.

Candidates should have a Ph.D. in computer science, electrical engineering, or a related field, and a strong background in machine learning or computer vision. Experience with deep learning frameworks such as TensorFlow and PyTorch is highly desirable.

The position offers a competitive salary, access to state-of-the-art equipment, and opportunities for professional development.

To apply, please send your CV to Mohammad Sabokrou at mohammad.sabokrou@oist.jp
Postdoctoral researcher in ML for NLP
University of Vienna
The Natural Language Processing Lab at the Data Mining and Machine Learning Research Group, University of Vienna, is looking to expand and seeks to fill the position of a postdoctoral researcher in machine learning for natural language processing.

Potential topics can be in current areas of NLP research, e.g.:
- Measuring and improving interpretability, fairness, robustness in large language models
- Privacy-preserving learning with language data
- Using additional knowledge sources for information extraction from text
- Reasoning with knowledge graphs and language

If you are interested, please talk to me (Benjamin Roth, benjamin.roth@univie.ac.at) or come to my office hours, Tuesday May 2, room AD4, 17:00.
Link: https://dm.cs.univie.ac.at/about-us/natural-language-processing/
Assistant Professor (Tenure Track)
University of Calgary
Applications are accepted until May 4, 2023

The Department of Electrical and Software Engineering within the Schulich School of Engineering at the University of Calgary is pleased to invite applications for a tenure-track Assistant Professor position in Machine Learning Fundamentals with an anticipated start date of September 1, 2023. Candidates with an earned doctoral degree in Software Engineering, Computer Science or a closely related discipline and demonstrated excellence in research and teaching are invited to apply.

Within the broad area of machine learning fundamentals, we expect the applicant to have a research track record in at least one of the following desired topics:

Novel AI/Machine Learning/Deep Learning techniques and algorithms
Natural Language Processing
Reinforcement Learning
Learning Representations for Time Series Data
Graph Neural Networks
Generative Models
Bayesian Machine Learning
Causal Inference
Position Requirements
The successful candidate will demonstrate:

A record of high-quality research and publications
The potential to establish an externally funded research program, and to achieve international recognition within five years
The alignment between their research interests and the research priorities of the Schulich School of Engineering and the University of Calgary
The ability to attract and develop excellent trainees, students, and future researchers
Ability to teach a range of undergraduate and graduate courses related to the topics in the position description above
Excellent written and oral communication skills
A commitment to Equity, Diversity, and Inclusion in Engineering
Candidates should be eligible for registration as a Professional Engineer with the Association of Professional Engineers and Geoscientists of Alberta (APEGA).

Experience working in industry or on industrial projects is considered an asset.

Link: https://bit.ly/ucese23mlf
PhD Student
University of Calgary
We are looking for potential PhD students interested in sparse neural networks and continual learning, reinforcement learning or sparse training amongst other research projects. Feel free to reach out to me directly if you are looking for a PhD and might be interested! Please mention ICLR 2023 in your subject if emailing.
Link: https://www.calgaryml.com
Multiple PostDoc positions in AI
The University of Edinburgh
We are looking for postdoctoral research associates [PDRA] to work on new and exciting AI problems. We currently are looking for two individuals.
PDRA1: Reinforcement learning in planning surgical paths. Effectively we seek to develop interactive RL based agents that can inform how a surgery should be performed. There are exciting aspects of incorporating digital surgery simulation models and generative AI to effectively twin how a surgery happens. This work is in collaboration with universities and industry across the UK and is available for 3 years.

PDRA2: Predicting demand in electric markets. Could we predict electricity demand, electricity production, by twining the electric grid? What form of high level vs low level information we need and how we avoid spurious correlation? This project will aim to marry causality with a very timely problem aligned with our need to improve our impact on the climate. This work is in collaboration with universities and industry across the UK and is available immediately.

About us:
* We are a dynamic, international team (https://vios.science ) several postdocs and students working in AI at the University of Edinburgh –a powerhouse in artificial intelligence, engineering, medicine, and climate/energy;
* We contribute to several exciting projects where deep learning directly addresses industry and societal needs;
* We considerable contributions both theoretically and applied;
* We foster and encourage collaboration within our team but also across the world.

About you:
* PhD (or close to completion) in electrical engineering, computer science or related discipline
* record of international publications demonstrating prior experience in machine learning
* good programming skills

If you are interested about these opportunities, email a CV to Prof. Tsaftaris (s.tsaftaris@ed.ac.uk), alongside a brief note indicating which post interests you and why and what skills you will bring to the team.

Link: vios.science
Machine Learning Engineer
Bloomberg LP
Bloomberg Law is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers! Our goal is to become an indispensable tool for legal professionals by supporting their day-to-day tasks and providing solutions that help them get real-time answers and better serve their clients.

As part of our team, you will be developing machine learning (ML) models to our business needs. You will drive, design and develop machine learning solutions. A right combination of cross-field ML techniques, deep understanding of the business problem and high-quality training data is fundamental to our models producing high quality models for our client’s needs. You will collaborate with product managers and legal domain experts to understand business problems and map them to ML problems. You will research groundbreaking ML/NLP techniques and apply them to our business problems. You will collaborate with legal domain experts to gain valuable insights and use their legal expertise to get high quality annotated training data. You will closely be working with product owners, legal data analysts (our domain experts), data engineers and front-end engineers to build and integrate ML solutions to our product.
Legal AI is an exciting and rapidly evolving field. If you are interested in working with a highly collaborative team to develop innovative solutions and make a big impact, please apply!
Link: https://careers.bloomberg.com/job/detail/104771
Postdoc in Deep RL/ model-based RL / Intrinsic Motivation
University of Tübingen
We work on sample efficient RL for robotics. Algorithm development, analysis and applications.

Twitter: @Gmartius
Link: https://al.is.mpg.de
PostDoc and PhD positions in Robot Learning
IAS @ Technical University Darmstadt
We are seeking highly motivated PostDocs and PhD students in Prof. Jan Peters’ group. Our research focuses on the intersection between machine learning and robotics.
Link: https://www.ias.informatik.tu-darmstadt.de/Jobs/OpenPositions
Senior Lecturer/Associate Professor or Professor at ICTP-EAIFR in Kigali
East African Institute for Fundamental Research
The successful candidate will undertake research in different areas of physical sciences, organizing training programs for students and researchers from all over Africa, and will assist and teach Master programmes. Candidates with experience in the use of high performance computing and/or data science approaches in their research are strongly encouraged to apply.

Deadline: 31 July 2023 (midnight Kigali time)
Expected start date: 1 September 2023

I am just sharing this position FYI. I have no affiliation with ICTP nor with EAIFR.
Link: ictp.it/sites/default/files/job-opportunity-doc/VN_EAIFR_2023_0.pdf
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