[Opt-Net] PhD student position (f/m/d) on Equilibria for Distributed Multi-Modal Energy Systems under Uncertainty (Ref. 22/37) at WIAS, Berlin, Germany

[Heike Sill]

WIAS invites applications for a
PhD student position (f/m/d)
(Ref. 22/37)
in the Research Group
Nonsmooth Variational Problems and Operator Equations
(Head: Prof. Dr. M. Hintermüller) to be filled at the earliest possible 
date.
The position is associated to the MATH+ Cluster of Excellence project 
AA4-13:
Equilibria for Distributed Multi-Modal Energy Systems under Uncertainty.
Motivated by timely and important applications on the way to the 
transition to green energy, the project focuses on understanding and 
modeling multi-modal energy systems using the example of green hydrogen 
gas as a storage mechanism for electricity markets powered by variable 
renewable energy.
The work tasks include:
1. Studying these systems in a game-theoretical context that couples the 
physical constraints on the network, written in the form of partial 
differential equations with uncertainties, with the strategic behavior 
of agents participating in the energy market subject to uncertainties.
2. Analyzing distributed stochastic models where agents do not share all 
information but need to find equilibrium strategies.
3. Developing and implementing novel distributed algorithms to find a 
market equilibrium computationally.
The position is hosted in Research Group “Nonsmooth Variational Problems 
and Operator Equations”. The project is a collaboration between Prof. 
Dr. M. Hintermüller, Dr. C. Geiersbach, Dr. P. Dvurechensky in Research 
Group “Stochastic Algorithms and Nonparametric Statistics”, and Dr. A. 
Kannan at Humboldt University of Berlin.
We are looking for: candidates with a master’s degree in mathematics or 
a closely related field with a strong background in optimization and 
partial differential equations. Prior knowledge in distributed 
(stochastic) optimization, algorithms for solving games and variational 
inequalities, functional analysis, or stochastic analysis is beneficial.
What we offer:
● Close mentorship: the PhD student will receive responsible and careful 
mentorship. We emphasize fostering a healthy mentor-mentee 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 flagship conferences in 
mathematical optimization such as ICCOPT 2019.
● A certified (Audit berufundfamilie) family-friendly work environment.
● 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 scientific queries to Dr. C. Geiersbach 
(Caroline.Geiersbach at wias-berlin.de).
The appointment is limited to three years. The reduced work schedule is 
29,25 hours per week, and the salary is according to the German TVoeD 
Bund 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.
How to apply:
Please upload your complete application documents (motivation letter, 
detailed CV, certificates, list of MSc courses and grades, copy of the 
master thesis, reference letters, etc.) via our applicant portal until 
November 6, 2022 using the button Apply online.

We are looking forward to your application!

See here for more information: https://short.sg/j/23741406

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URL: http://www.wias-berlin.de/~sill/?lang=1