Research Fellow (Geometry, Probability, and Deep Learning) Jobs at Nanyang Technological University, Singapore in Singapore

Job Overview

Research Fellow (Geometry, Probability, and Deep Learning)

A Research Fellow position is currently available in the School of Physical and Mathematical Sciences (SPMS) within the project Geometry, Probability, and Deep Learning led by A/P Philipp Harms. The goal of this project is to understand deep learning from a geometric and probabilistic perspective and to put deep learning methods to use in geometry and probability. The Research Fellow will focus on advanced geometric aspects of this project.

Job Responsibilities

• Obtaining mathematical results in the area of Geometry, Probability, and Deep Learning

• Designing, implementing, and testing algorithms

• Engaging in scientific exchange with collaboration partners of the project

• Guiding junior researchers in the team

• Preparing reports, scientific papers, and presentations

• Helping with academic self-administration

Job Requirements

• PhD in Mathematics or related areas

• Experience in geometry, probability and/or deep learning. Some more specific research areas of particular interest are infinite-dimensional Riemannian or metric geometry, infinite-dimensional probability or stochastic analysis, statistical learning theory, coding theory, inverse problems, and harmonic analysis. Moreover, some applications of particular interest are mathematical finance and biomedical image or shape analysis

• Good publication record

• Good communication skills

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret to inform that only shortlisted candidates will be notified.

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