Research Technician / Research Specialist position 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 produce software packages and documentation related to ongoing and past research projects, produce demos, and help with general software development in collaboration with the research team.

Conditions -- KAUST offers:

• Highly competitive salary, with generous benefits.
• Top computational facilities (e.g., on-site supercomputer), high-end workstations, and superb resources.
• 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).

Qualifications

• Completion or near completion of a Masters' degree in Computer Science, or related disciplines
• A good understanding of Bayesian principles for Statistics and Machine Learning
• High proficiency in programming with languages, such as: C/C , Python (including pytorch/jax) 
• A proven record of the ability of producing high-quality software
• Excellent written and oral communication skills, and effective team-work skills
• We are looking for highly self-motivated candidates who are curious and enthusiastic about scientific research, and have a proactive attitude

Application Instructions

Please apply directly on interfolio including a short cover letter, your full CV, and names of at least two referees.