Postdoc positions in Bayesian Deep Learning at KAUST

The Statistics division at the King Abdullah University of Science and Technology (KAUST), Saudi Arabia, has opened a new research group led by Prof Maurizio Filippone, who is seeking to appoint Postdoctoral Researchers to work on research problems at the interface between a selection of the following areas:

– Bayesian inference for deep learning
– Generative modeling
– Computational statistics, statistical learning, and deep learning
– Applications in environmental and life sciences

Here are a few recent publications from the group, which form the basis of some of the upcoming research projects:
– https://dl.acm.org/doi/abs/10.5555/3586589.3586663
– https://openreview.net/forum?id=KPLf9FhwEqZ
– https://projecteuclid.org/journals/bayesian-analysis/volume-17/issue-4/Deep-Gaussian-Processes-for-Calibration-of-Computer-Models-with-Discussion/10.1214/21-BA1293.full
– https://www.tandfonline.com/doi/abs/10.1080/01621459.2021.1887741
– https://arxiv.org/abs/2303.00800
– https://arxiv.org/abs/2305.18900

Successful candidates will be expected to conduct and present high-quality research, publish papers, and help with PhD student mentoring.

Conditions — KAUST offers:

– Highly competitive salary, with generous benefits.
– Top computational facilities (e.g., on-site supercomputer), high-end workstations, and superb resources.
– Opportunities to attend local and international conferences.
– A beautiful campus located on the shores of the Red Sea with excellent recreational facilities.
– A diverse multicultural community (with more than 100 nationalities represented on campus).

Details:

– Start date: as soon as possible. Selection for positions will start immediately and continue until positions are filled.
– Appointments are for up to three years (subject to a review after the first year).