WIAS Berlin, Weierstrass Institute for Applied Analysis and Stochastics

Position ID: 2306-PHD [#17955, 21/15]
Position Title: PhD student position (f/m/d) in robust machine learning and data-driven optimization (Ref. 21/15)
Position Type: Student programs
Position Location: Berlin, Berlin 10117, Germany [map]
Subject Area: robust machine learning and data-driven optimization
Application Deadline: finished (2021/08/02, finished 2022/05/07, listed until 2021/10/31)
Position Description:    

*** this position has been closed. ***

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 which are funded by the federal and state governments. The research institutes are members of the Leibniz Association.

WIAS invites applications for a

PhD student position (f/m/d) in
robust machine learning and data-driven optimization
(Ref. 21/15)

in the Weierstrass Group “Data‐driven Optimization and Control” (Head: Dr. Jia-Jie Zhu) starting as soon as possible.

Robustness plays an increasingly important role in machine learning and optimization. For example, learners and optimization solutions can become fragile once the test environments differ from training. We are looking for candidates passionate about researching robustness in data-driven optimization and machine learning, broadly defined as, e.g., distributional robustness/adversarial robustness/generalization/interfacing distributional robustness and causality/robust optimization/robustness in RL and control.

We invite candidates with a degree (master’s level) in mathematics, computer science, or control theory, and backgrounds in mathematical optimization and/or machine learning theory and/or control theory. Candidates with strong applied or industrial experiences will also be considered. Those qualifications are demonstrated by high-quality technical reports or publications in credible venues and/or completed industrial projects and codebases.

Examples of the background include (but not limited to):
  • Optimization: (distributionally) robust optimization/stochastic programming, numerical optimization, mixed-integer programming, semi-definite/semi-infinite optimization
  • Applied math: numerical/functional analysis, approximation theory, differential equation
  • Control: optimal control, robust control, MPC, data-driven control, dynamics learning
  • Machine learning: adversarial robustness, generative models, learning theory, RL, kernel methods 
What we offer:
  • Close mentorship: the Ph.D. candidate will receive responsible and careful mentorship. We emphasize fostering a healthy mentor-student relationship.
  • WIAS Berlin is a premier research institution known for its strength in optimization, optimal control, dynamical systems, and applied mathematics in general. It has hosted the flagship conferences in mathematical optimization such as ICCOPT 2019. We also envision collaborations with our collaborators within WIAS as well as external top institutions such as the Max Planck Institute for Intelligent Systems, Tübingen.
  • A certified (Audit berufundfamilie) family-friendly work environment.
  • There is no teaching duty envisioned.
  • Berlin is one of the most culture-rich and diverse international cities in the world. It offers endless opportunities to enjoy life outside work, while being very affordable compared to other major cities. Neither the job nor living in Berlin requires German language (although WIAS offers free German courses). We highly welcome international applications. Scientifically, Berlin offers a rich landscape with numerous opportunities for research, as well as job prospects in academia and industry.
Please direct queries to Dr. Jia-Jie Zhu (zhu@wias-berlin.de), further information on his work is also available at https://jj-zhu.github.io/.

The appointment is for 36 months. The reduced work schedule is 29,25 hours per week and the salary is according to the German TVoeD scale.

The Weierstraß Institute is an equal opportunity employer. We explicitly encourage female researchers to apply for the offered position. Among equally qualified applicants, disabled candidates will be given preference.

Please submit complete application documents including a cover letter, curriculum vitae (CV), relevant certificates and the master thesis (as draft if not finalized) as soon as possible via our online job-application facility (https://wias-berlin.softgarden.io/de/vacancies) using the button “Apply online”. The envisioned starting date is as soon as possible, but can be negotiated with the selected candidate. Applicants are also encouraged to inquire about the position to Dr. Zhu (zhu@wias-berlin.de; please attach CV) prior to submitting the official application.

The advertisement is open with immediate effect and will remain open until the position will be filled.

We are looking forward to your application!

We are not accepting applications for this job through Mathjobs.Org right now. Please apply at https://short.sg/j/11539907 .
Contact: Dr. Jia-Jie Zhu
Postal Mail:
Heike Sill
Mohrenstrasse 39
10117 Berlin
Web Page: https://short.sg/j/11539907