Postdoctoral position on Hierarchical Optimization methods for Machine Learning

KAUST; Thuwal; On-site; SAR 180,000 - 240,000; Full time

Benefits offered by this job

Medical and dental insurance

Air transportation to KAUST

Free housing at KAUST

Job summary

KAUST, located near Thuwal, Saudi Arabia, invites applications for postdoctoral positions in the Division of Computer, Electrical and Mathematical Science and Engineering (Applied Mathematics and Computational Science). The two-year appointment focuses on high-dimensional optimization for machine learning and stochastic control, with emphasis on rigorous analysis, computation, and collaboration across sites.

Successful candidates will have a Ph.D.

Qualifications

• Ph.D. in applied mathematics or computational engineering or related field.
• Excellent analytical, computational and programming skills.
• Background in ML, numerical methods, optimization, uncertainty quantification or related areas.

Responsibilities

• Collaborate on the two-year postdoctoral project, with a start date around April 1, 2020.
• Work within KAUST's interdisciplinary team in the High Dimensional Hierarchical Optimization methods for ML and stochastic control.
• Spend time at collaborating institutions as required by the project.

Skills

Machine Learning

Neural Networks

Numerical PDEs

Stochastic PDEs

Numerical Optimization

Uncertainty Quantification

Approximation Theory

Applied Probability

Bayesian Statistics

Optimal Control

Dynamic Programming

Education

Ph.D. in Applied Mathematics or Computational Engineering

Tools

Python

MATLAB

C++

Job description

King Abdullah University of Science and Technology: Postdoc Positions: Computer, Electrical and Mathematical Science and Engineering Division (postdoc): Applied Mathematics and Computational Science (postdoc)

Location

Open Date

Feb 11, 2020

Description

One postdoctoral position is currently available at King Abdullah University of Science and Technology (KAUST) for a collaborative project with a starting date of April 1, 2020. The candidate will be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization, Uncertainty quantification, Approximation Theory, Applied Probability and Bayesian statistics, Optimal Control and Dynamic Programming.

Appointment, salary, and benefits. The appointment period is two years. The salary is highly competitive and no income tax is currently paid to the Kingdom of Saudi Arabia. Benefits include medical and dental insurance, air transportation to KAUST, one round-trip airline ticket per year to visit home country, and free housing while at KAUST (in shared housing unless living with spouse or children).

About KAUST. King Abdullah University of Science and Technology (KAUST) is an international, graduate-level research university, located on the Red Sea near Thuwal, 80 kilometers (50 miles) North of Jeddah, in the Kingdom of Saudi Arabia. Dedicated to inspiring a new age of scientific achievement that will benefit the region and the world, KAUST has the mission of exemplifying the future of world-class research. More details are available at www.kaust.edu.sa .

A successful candidate preferably has completed a Ph.D. in the field of applied mathematics or computational engineering, or in any field related to one or more of theareas of research mentioned in the position description. Excellent analytical, computational and programming skills are expected.

Strong interpersonal qualities from the candidate will be appreciated as she/he will be working in a highly collaborative project and will be expected to spend a part of the time at the collaborating institutions.