Ph.D. Position in Machine Learning: The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany, is inviting applications for Ph.D. positions in the research areas of optimal transport and robust machine learning. The positions focus on computational OT, gradient flows, deep generative models, Bayesian inference, kernel methods, distributional robustness, generalization, optimization, robustness in RL and control, and interfacing robustness with causality or fairness.
Ph.D. Position in Optimization and Machine Learning
Designation:
Ph.D. Candidate
Research Area:
Mathematics, with a focus on optimal transport and robust machine learning.
Location:
Berlin, Germany
Eligibility/Qualification:
- Master’s degree in machine learning, applied mathematics, or related fields (e.g., optimization, analysis of PDE/SDE).
- Relevant research experience, demonstrated by high-quality technical reports or publications in venues such as NeurIPS, ICML, ICLR, AISTATS, UAI, AAAI, CoLT, JMLR, TMLR, etc.
- Candidates with strong applied or industrial experience in deep learning will also be considered.
Job Description:
The successful candidates will engage in research on topics including but not limited to:
- Applications of optimal transport and gradient flow in machine learning and optimization.
- Probabilistic machine learning, Bayesian inference, and generative models.
- Robustness and generalization in machine learning.
- Causal inference.
- Robust optimization and stochastic optimization.
What We Offer:
- A position at WIAS, a renowned research institution in mathematical optimization and applied mathematics.
- Collaboration opportunities with top institutions and participation in flagship conferences such as ICCOPT.
- Membership in the Berlin Mathematical School, a joint graduate school of Berlin’s three major universities.
- A vibrant, diverse research environment located in downtown Berlin.
- Access to Berlin’s rich cultural life and affordable living compared to other major cities.
- Free German language courses (though German is not required for the position).
- Numerous job prospects in academia and industry within Berlin’s rich scientific landscape.
How to Apply:
Interested candidates should send the following documents:
- CV with links to existing works.
- Master’s thesis (if available) and any relevant technical reports or publications.
- Transcripts for bachelor’s and master’s degrees.
Applications should be sent to the provided email address with the subject line containing [apply-phd-ot]. Please note that only candidates who fit the position will receive a response.
Last Date to Apply:
The position will remain open until filled.
