Ph.D. Position in Machine Learning, WIAS, Berlin, Germany

Postdoc in Germany
Ph.D. Position in Machine Learning: The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany, offers exciting Ph.D. positions in mathematics, with a focus on optimal transport and robust machine learning. This position provides a rich academic environment and opportunities for research collaboration in a city known for its vibrant culture.

Ph.D. Position in Optimization and Machine Learning

Designation

Ph.D. Researcher

Research Area

Optimal Transport and Robust Machine Learning
Topics may include:

  • Computational Optimal Transport (OT)
  • Gradient Flows
  • Deep Generative Models
  • Bayesian Inference
  • Kernel Methods
  • Distributional Robustness
  • Generalization
  • Robustness in Reinforcement Learning (RL) and Control
  • Interfacing Robustness and Causality or Fairness

Location

Berlin, Germany

Eligibility/Qualification

  • Master’s degree in Machine Learning or Applied Mathematics (e.g., Optimization, PDE/SDE Analysis)
  • Research experience demonstrated by high-quality technical reports or publications in relevant venues (e.g., NeurIPS, ICML, ICLR, AISTATS, UAI, AAAI, CoLT, JMLR, TMLR)
  • Candidates with strong practical or industrial experience in deep learning are also welcome

Job Description

  • Conduct research in the areas of optimal transport and machine learning
  • Collaborate with academic and industry partners
  • Publish findings in reputable conferences and journals
  • Participate in the vibrant academic environment at WIAS and the Berlin Mathematical School

What We Offer

  • Integration into a leading research institute specializing in mathematical optimization and dynamical systems
  • Opportunities to collaborate with top institutions and researchers
  • A dynamic, culturally rich environment in downtown Berlin
  • Competitive financial support
  • No German language requirement (free German courses offered)

How to Apply

Qualified candidates should send the following materials:

  • CV with links to existing works
  • Master’s thesis (if available) and any related technical reports or publications
  • Transcripts for both bachelor’s and master’s degrees

Email your application with the subject line [apply-phd-ot] to the provided email address.

Last Date for Apply

The position will remain open until filled. Prompt inquiries and applications are encouraged as responses will be given only when there is a fit for the position.

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