PhD and postdoctoral Positions in Computational Soft Matter Physics 1661

Mathematics and Physics: ICP Institute of Computational Physics

Research Association: N / A

Teaching Obligation: 07 / 04 / 2025

Anticipated Start Date:

About Us

We utilize high-performance computing on supercomputers and parallel clusters to solve complex physics problems that are otherwise analytically intractable. Our main research areas include the physics of soft matter systems, with particular emphasis on magnetic gels, active matter, and biopolymers.

Your Tasks

We are seeking highly motivated candidates for PhD or postdoctoral positions in computational soft matter physics. Possible thesis topics include soft magnetic materials such as magnetic gels, bacterial growth and active motion in complex environments, and sustainable polymers derived from food industry byproducts.

The projects involve simulations using various methods, including coarse-grained and atomistic molecular dynamics, systematic coarse-graining, machine learning, and continuum hydrodynamics solvers like the lattice Boltzmann method.

Tools used include open-source simulation packages such as ESPResSo (https://espressomd.org), primarily developed at our institute.

Your Profile

Key Qualifications:

• A Master's degree in Physics or a related natural sciences field
• A strong curiosity and perseverance to solve complex problems, both independently and in teams
• Experience in numerical methods and simulation; programming skills in Python and/or C are advantageous
• Willingness to collaborate closely with experimentalists

This opportunity suits candidates passionate about applying advanced computational techniques to address challenges in soft matter science.

To apply, please attach a cover letter, CV, academic transcripts, and contact information for two references.

Our institute offers a supportive environment for collaborative research with both experimentalists and theoreticians, opportunities to present at international conferences, and access to state-of-the-art computing facilities through the Cluster of Excellence for Data-Integrated Simulation Science and the High-Performance Computing Center (HLRS) at the University of Stuttgart.

We also provide courses on high-performance computing and other resources to support your research.

Employment and Compensation

Maximum funding duration: 12 months (subject to qualifications)

Funding type: Position as an employee at the University of Stuttgart

Compensation: EG TVL 13

Work hours: Typically 39.5 hours/week, 100%

Employment at the cooperation partner: N / A

Location (if other than Stuttgart): N / A

Contact: Prof. Christian Holm

Mail: [Contact email]

Website: [Website URL]

Note: Some details such as the website URL and contact email appear incomplete or placeholder in the original.

Additional Skills and Information

Client-Server, Marketing and Merchandising, Facilities Management, DSP, Bakery

Employment Type: Full Time

Experience: Years

Vacancy: 1