Postdoc in NAS/AutoML at the University of Edinburgh
We have a position for a postdoctoral research associate to work on NAS and AutoML with Dr Elliot J. Crowley and the Bayesian and Neural Systems Group.
The successful applicant will be based in the School of Engineering at the University of Edinburgh, and will have opportunities for collaboration within and outside of the school e.g. with colleagues in the Institute for Digital Communications and the Bayesian and Neural Systems Group.
This position is funded for 24 months (provisional start date: November 2023) and the salary is UE07 £36,333 - £43,155 Per Annum.
Essential requirements:
- A PhD in machine learning (ML) or a closely related subject
- A track record of publications at top-tier venues in ML-driven fields e.g. NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, IEEE PAMI, JMLR
- Strong programming skills and experience with ML frameworks in Python e.g. Pytorch, Tensorflow
- Excellent communication skills, both oral and written
- A demonstrable ability to work both individually and on collaborative research projects
Previous research in NAS or other areas of AutoML is desirable, but not essential.
The full advert, and the link to apply are here. The deadline is 31st July. Please email elliot.j.crowley@ed.ac.uk for informal inquiries.
