1. Postdoc position on large language models (LLMs)
Topics of interest include but not limited to better pre-training methods, better fine-tuning methods, bias and fairness, interpretability, safety and alignment, continual pre-training.
2. Postdoc position on foundation models for biological data
Topics of interest include but not limited to foundation models (both encoder and decoder models) for proteins, small molecules, and genomics data, multi-modal foundation models for biological data, 3d generative modelling, drug discovery.
For this position, we are looking for a candidate with strong ML/LLM/Transformers/Foundation Models background. If you do not have the biological domain background, but are interested in exploring AI for science, this is a perfect position for you. In this position, you will be working closely with our pharmaceutical partners who are experts in biology.
3. Postdoc position on foundation models for time series data
Topics of interest includes but not limited to better sequential architectures, state space models, recurrent neural networks, attention-free architectures, etc.
4. Postdoc position on foundation models for Astrophysics
The topics of interest includes but not limited to recurrent inference machines, Transformers, diffusion models for radio images in Astrophysics .
Qualifications:
The ideal candidate for these positions
* Should have completed (or will soon complete) a PhD with experience in Machine Learning, Deep Learning, Large Language Models, and Foundation Models.
* Should have a track record of publishing at top international venues like ICML, ICLR, NeurIPS, ACL, EMNLP, NAACL, etc.
* Should be interested in mentoring masters and PhDs on several research projects.
* Should have a demonstrated ability to initiate new research projects and have a desire to lead a research team.
* Should have experience in pre-training Transformers and LLMs, not just finetuning them.
Duties - We expect the selected candidate to lead, publish, and present research projects on the topics of interest, work with and mentor graduate students, and participate in and lead grant applications.
Recommendation Letters - We will ask for names of 2 recommenders only for candidates who are selected for an interview. So please talk to your recommenders and have the letters ready when we contact them.
Application timeline - Applications are open until at least April 30, 2025. For inquiries please email Sarath Chandar: sarath....@mila.quebec and include "[postdoc ad]" in the email title.
Where to apply? - If you are interested in any of these positions, please apply here before 30th April, 2025.
Regards,
Sarath Chandar