PhD student position (f / m / d), (Ref. 24 / 08) "Optimal Transport and Machine Learning"

Overview

The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) invites applications for a PhD student position in the Weierstrass Group "Data-driven Optimization and Control". The position (Ref. 24 / 08) will be filled at the earliest possible date.

Responsibilities

• Research in principled optimal transport theory, optimization, and machine learning.
• Contribute to the Ph.D. project on optimal transport and gradient flows for machine learning and optimization, probabilistic machine learning, Bayesian inference, sampling, robustness, causal inference, robust learning, robust optimization, and continuous optimization for machine learning.
• Collaborate closely with Dr. Jia‑Jie Zhu.
• Deliver high‑quality technical reports and publications in relevant venues.

Qualifications

• Master’s degree in computer science, statistics, or applied mathematics.
• Strong background in machine learning or optimization, preferably in optimal transport for machine learning applications.
• Demonstrated experience through technical reports or publications, e.g. NeurIPS, ICML, ICLR, AISTATS, AAAI, CoLT, JMLR, TMLR.
• Optional: Applied or industrial experience in deep learning.

Benefits

• Close mentorship with responsible and careful guidance.
• Research environment at a premier institute known for optimization, optimal control, dynamical systems, and applied mathematics.
• Salary according to the collective agreement for the public service (TVöD Bund) with social benefits (30 vacation days in a 5‑day week, company pension plan).
• Subsidy for public transport ticket, mobile working, and a certified family‑friendly work environment.
• No German language requirement; free German courses are offered.

Job Details

• Duration: 3 years.
• Reduced work schedule: 29.25 hours per week.
• Position open with immediate effect and will remain open until filled.

Application

• Cover letter (1‑2 pages, brief research statement).
• CV with links to projects and works.
• Master’s thesis (or draft).
• Transcripts of bachelor’s and master’s studies.
• Contact information for 2‑3 references (not required for the initial application).

Applications from women are especially welcome. Among equally qualified applicants, disabled candidates will receive preference. Please direct scientific queries to Dr. Jia‑Jie Zhu.