Postdoctoral Research Fellow in Lab Automation and Data-Driven Colloid Science at Technical University of Munich
Technical University of Munich (TUM) is recruiting a
Postdoctoral Research Fellow
in
Lab Automation and Data-Driven Colloid Science
at the Chair of Complex Soft Matter, led by Prof. Stefan Guldin.
The project sits at the interface of
soft matter
,
colloid science
,
materials science
,
chemistry
,
physics
,
automation
, and
AI-driven experimentation
. The successful candidate will help build next-generation automated research workflows, including robotic liquid handling, high-throughput experimentation, closed-loop/self-driving laboratory systems, quantitative characterization, Python-based data analysis, modelling, machine learning, and open-source hardware/software tools.
The position is associated with the ERC Consolidator Grant
Engineering Multivalency for Superselective Recognition of Pathogen Targets
(EngToTarget), offering scientific freedom to shape a rapidly growing research direction in autonomous experimentation and colloid science.
Eligibility highlights:
PhD in chemistry, materials science, chemical engineering, mechanical engineering, or a related discipline; strong experimental and/or computational background in laboratory automation, robotics, and autonomous experimentation; experience with Python and data analysis; interest in soft matter, self-assembly, biointerfaces, or advanced materials characterization.
Funding:
Salary according to TV-L. The appointment is initially for 24 months, with possible extension depending on performance and funding availability.
Application deadline:
21 June 2026.
How to apply:
Send a complete application as a single PDF to
[email protected]
. Informal inquiries can be directed to
Prof. Stefan Guldin
at
[email protected]
. More information is available on the TUM job page and the Chair of Complex Soft Matter website.