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Stefan Guldin

Top university

3 months ago

Postdoctoral Research Fellow in Lab Automation and Data-Driven Colloid Science at Technical University of Munich Technical University of Munich in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

Salary according to TV-L. The position is initially limited to 24 months, with the possibility of extension subject to performance and funding availability. The role is associated with an ERC Consolidator Grant and offers significant scientific freedom.

Deadline

Expired

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Country

Germany

University

Technical University of Munich

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Keywords

Computer Science
Machine Learning
Chemistry
Mechanical Engineering
Materials Science
Python Programming
Automation
Colloid Science
Soft Matter Physics
Open-source Software
Physics

About this position

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.

Funding details

Salary according to TV-L. The position is initially limited to 24 months, with the possibility of extension subject to performance and funding availability. The role is associated with an ERC Consolidator Grant and offers significant scientific freedom.

What's required

Applicants must hold a 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 is required, ideally with robotic liquid handling, hardware integration, or experimental workflow development. Experience with scientific programming and data analysis, preferably using Python, and familiarity with statistical modelling, machine learning, computer vision, or optimisation for experimental systems is desired. Beneficial experience includes rapid prototyping, CAD design, electronics integration, sensor systems, or open-source hardware development. Interest in soft matter, colloid science, self-assembly, biointerfaces, or advanced materials characterization is desirable. Excellent English communication skills and the ability to work independently in an interdisciplinary environment are expected.

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