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

Weierstrass Institute for Applied Analysis and Stochastics (WIAS); Berlin; Vor Ort; EUR 38.000 - 50.000; Teilzeit

Zusammenfassung

The Weierstrass Institute for Applied Analysis and Stochastics invites applications for a PhD student position focused on optimal transport and machine learning. The role includes close mentorship and access to a leading research environment in Berlin, with a focus on innovative optimization techniques and strong support for career development.

Leistungen

Close mentorship and healthy mentor-student relationship

Flexible working arrangements including mobile working

Family-friendly work environment

Salary according to TVöD Bund scale with social benefits

Living in Berlin, a diverse and affordable city

Qualifikationen

• High-quality reports or publications in NeurIPS, ICML, ICLR, AISTATS, AAAI.
• Strong applied or industrial experience in deep learning is also considered.

Aufgaben

• Research in optimal transport theory, optimization, and machine learning.
• Working closely with Dr. Jia-Jie Zhu.

Kenntnisse

Machine Learning

Optimization

Robust Learning

Probabilistic Machine Learning

Ausbildung

Master's degree in computer science, statistics, or applied mathematics

Jobbeschreibung

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

Client:

Weierstrass Institute for Applied Analysis and Stochastics (WIAS)

Location:

Berlin, Germany

Job Category:

Other

EU work permit required:

Yes

Job Reference:

e0f083353ec4

Job Views:

2

Posted:

23.06.2025

Expiry Date:

07.08.2025

Job Description:

The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven non-university research institutes in Berlin funded by the federal and state governments. The research institutes belong to the Leibniz Association.

WIAS invites applications for a PhD student position (f/m/d) (Ref. 24/08) in the research group Data-driven Optimization and Control (Head: Dr. Jia-Jie Zhu), to be filled at the earliest date.

We are looking for candidates motivated to research in principled optimal transport theory, optimization, and machine learning. The project includes:

1. Optimal transport and gradient flows for machine learning and optimization
2. Probabilistic machine learning, Bayesian inference, sampling
3. Robustness, causal inference, robust learning, robust optimization
4. Continuous optimization for machine learning, mirror descent algorithms

The PhD student will work closely with Dr. Jia-Jie Zhu.

Qualifications include a master’s degree in computer science, statistics, or applied mathematics, with focus on machine learning or optimization, demonstrated by high-quality reports or publications in venues such as NeurIPS, ICML, ICLR, AISTATS, AAAI, CoLT, JMLR, TMLR, etc. Strong applied or industrial experience in deep learning is also considered.

What we offer:

1. Close mentorship and a healthy mentor-student relationship
2. WIAS Berlin as a premier research institution with expertise in optimization and applied mathematics
3. Salary according to the collective agreement TVöD Bund, including social benefits and a subsidy for public transport
4. Flexible working arrangements including mobile working
5. A family-friendly work environment (Audit berufundfamilie)
6. Living in Berlin, a diverse and affordable city with numerous research and job opportunities

Applications should include a 1-2 page cover letter with a brief research statement, CV with project links, master's thesis or draft, transcripts, and contact info for 2-3 references. Applications are accepted via the online portal. The position is limited to 3 years, with a part-time schedule of 29.25 hours/week, and salary according to German TVöD Bund scale.

The institute encourages women and disabled candidates to apply.

The application remains open until the position is filled. We look forward to your application!