Linde/MDSI Doctoral Fellowships

Linde and the MDSI have partnered to promote excellent PhD fellows across different fields in order to strengthen interdisciplinary research addressing data science challenges. The Linde/MDSI PhD Fellows are an essential part of MDSI's thriving and dynamic research atmosphere. They participate in the specially tailored MDSI training program, and they are co-located at the facilities of the institute as needed. MDSI strongly supports their collaboration and interaction with fellows and faculty from other areas of research.

Call for Applications

For details on application requirements and the next call for applications please see here.

Linde / MDSI Fellows at MDSI

Jacquelyn Banas

Flight System Dynamics


Supervisor: Prof. Dr. Florian Holzapfel

Ayshah Chan

Remote Sensing Technology

Knowledge Distillation from Big Administrative Data (KnowDisBAD)

Supervisor: Prof. Dr. Marco Körner

Mariia Gladkova

Computer Vision & Artificial Intelligence

Dynamic Simultaneous Localization and Mapping

Supervisor: Prof. Dr. Daniel Cremers

Martin Großhauser

Neurobiological Engineering


Supervisor: Prof. Dr. Julien Gagneur

Sara-Viola Kuntz

Dynamical Systems

Multiscale Dynamics of Deep Neural Networks

Supervisor: Prof. Christian Kühn, PhD

Kristina Mach

Computer Aided Medical Procedures

Computer Vision for Ophthalmologic Surgery

Supervisor: Prof. Dr. Nassir Navab 

Shiva Madadkhani

Resource Economics

Renewable Energy Economics

Supervisor: Prof. Svetlana Ikonnikova, PhD

Julian Mayer-Steudte

Theoretical Particle and Nuclear Physics

Theoretical Particle Physics, Computational Physics

Supervisor: Prof. Dr. Nora Brambilla

Yukiteru Murakami

Technical Physics

Controlling Patterns with a Spatial Light Modulator During Si Electrodissolution

Supervisor: Prof. Dr. Katharina Krischer

Thorben Prein

Electrochemical Materials Lab

Topic: Materials Representation Learning for Synthesis Planning

Supervisor: Prof. Dr. Jennifer Rupp

Johanna Sommer

Data Analytics and Machine Learning

Robustness of Neural Networks for Combinatorial Optimization

Supervisor: Prof. Dr. Stephan Günnemann

Nils Sturma

Mathematical Statistics

Identifiability and Inference of Causal Effects in Latent Variable Models

Supervisor: Prof. Dr. Mathias Drton

Kamilia Zaripova

Computer Aided Medical Procedures & Augmented Reality

Geometric Deep Learning

Supervisor: Prof. Dr. Nassir Navab