Connectionists: [JOB] Postdoc in Efficient Training of Deep Neural Networks @ the University of Edinburgh

[Hakan Bilen]

Greetings colleagues,

We are looking for a postdoc to undertake novel research at the efficient deep neural network training in the School of Informatics at the University of Edinburgh.


The Topic
The goal of this project is to develop novel techniques for training deep neural networks efficiently. This will involve generating data for training, sampling informative samples and designing data-efficient architectures for various vision models, and also vision-language models.

Project Team
The candidate will be based in Visual Computing Group (https://groups.inf.ed.ac.uk/vico/)<https://groups.inf.ed.ac.uk/vico/> and will be supervised by Dr. Hakan Bilen. There will be many collaborative opportunities within the Vision group (https://groups.inf.ed.ac.uk/vision) as well as across the School of Informatics (which includes faculty working on machine learning, computer vision, NLP, speech processing, and social computing) and as well as with the University of Oxford and Bristol.

Your skills and attributes for success

·      PhD degree (or nearing completion)

·      A strong background in machine learning and/or computer vision

·      Publications at top venues in CV or/and ML (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML)

·      Excellent programming skills in Python, PyTorch, Tensorflow

·      Ability to work independently and manage own academic research and associated activities.

·      Excellence in written and oral communication, analytical, and time management skills.

Location
The School of Informatics<https://www.ed.ac.uk/informatics> was ranked #1 in the UK for research power in Computer Science and Informatics Times Higher Education ranking, based on the 2021 Research Excellence Framework (REF). We are one of the top six institutions in Europe for AI according to CSRankings, and the highest-ranked UK institution. The School is an active Unit in the European Laboratory for Learning and Intelligent Systems (ELLIS<https://ellis.eu/>). Edinburgh is a highly attractive city to live in. It is walkable, enjoys proximity to nature, and features a world-class cultural scene. It was ranked 1st in the 2022 Time-Out Index<https://www.timeout.com/things-to-do/best-cities-in-the-world> of the best cities in the world.

How to apply
Apply before 14th May 2024

This post is full-time (35 hours per week) and fixed term for 12 months (with possibility of extension by another 12 months).

Contact details for enquiries:
Dr. Hakan Bilen
h.bilen at ed.ac.uk<mailto:h.bilen at ed.ac.uk>
https://homepages.inf.ed.ac.uk/hbilen

You can find more information about the role, including details on how to apply, here:
https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/10261



The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.
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