Postdoc Positions in Bayesian Deep Learning at Kaust

2 months ago

Jeddah, Saudi Arabia KAUST Full time

Postdoc positions in Bayesian Deep Learning at KAUST- King Abdullah University of Science and Technology: Postdoc Positions: Computer, Electrical and Mathematical Science and Engineering Division (postdoc)

**Location**:

- KAUST, Thuwal

**Open Date**:

- Mar 09, 2024

**Description**:

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:
**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.

**Qualifications**:

- Completion or near completion of a doctoral degree in Computer Science, Statistics, Physics, Mathematics, or related disciplines
- High proficiency in programming with languages such as: Python, R or C/C
- A strong publication record in competitive peer-reviewed journals and conference proceedings
- Excellent written and oral communication skills, and effective team-work skills

**Application Instructions**:
**Application Process**:

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