Technische Universität Dresden
Faculty of Mathematics, Institute of Scientific Computing
TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer of science to society. As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and develop their individual abilities while empowering everyone to reach their full potential. TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution.
Research Associate (m/f/x)
At the Faculty of Mathematics, Institute of Scientific Computing, within the Dresden Center for Computational Materials Science (DCMS), the interdisciplinary Junior Research Group Mesoscale materials modeling and simulations (3MS) offers a position as
Research Associate (m/f/x)
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)
starting as soon as possible. The position is limited until February 28, 2027. There is an option to extend the contract. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification. Balancing family and career is an important issue. The position is generally suitable for candidates seeking part-time employment. Please indicate your request in your application.
The position is embedded in the activities of the Junior Research Group Mesoscale materials modeling and simulations (3MS) headed by Prof. Dr. Marco Salvalaglio. It is funded by DFG projects dealing with mesoscale modeling of crystalline systems. Core activities include the development and application of state-of-the-art phase-field (PF) and phase-field crystal (PFC) models with the following goals:
- providing novel theoretical tools that bridge the gap between microscopic and macroscopic features while studying crystals considering real material properties
- overcoming the limitations of current state-of-the-art theoretical approaches in this field through novel, hybrid, and data-driven approaches
- enabling applications to technology-relevant crystalline systems and related open problems in materials science
- extending modeling approaches to systems beyond crystals
The work will primarily be based at the Institute for Scientific Computing at the Faculty of Mathematics at TUD.
Tasks
- development of phase-field and phase-field-crystal models to study crystal properties (and complementary methods for selected comparisons)
- investigation of mechanical properties of bulk crystals and thin crystalline films
- analysis of data and quantitative comparisons with experiments
- implementation of models in computer codes for numerical simulations
- numerical studies, including on HPC facilities
Further specific tasks can be tailored to your interests.
Requirements
- university degree (e.g. Master/Diploma) in mathematics, physics, materials science or related subjects
- basic knowledge of computer programming (e. g. Python, Matlab and C++)
- excellent knowledge of the English language
- high problem-solving ability, motivation/interest in scientific research, willingness to learn and work in a group
- applications showing previous experience with numerical methods/simulations, state-of-the-art computational techniques (e. g. molecular dynamics, data-driven methods and/or FEM) and/or theoretical material modeling will be given preference
What we offer
- chance to collaborate with internationally renowned researchers in the field
- participation in exchange programmes and short research stays abroad
- for applicants looking for a PhD student position, opportunity to choose the main topic for the doctorate within the framework of the DCMS (provided it is compatible with the project topic)
- extensive training and development opportunities
- flexible arrangement of working hours and remote work for balancing work and private life
- financial support for the purchase of a so-called job ticket (for public transport in Dresden and the surrounding area)
How to apply
TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The University is a certified family-friendly university and offers a Dual Career Service. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.
Please submit your detailed application with the usual documents (including motivation letter, CV, letter of recommendation and university certificates, i.e. list of academic achievements with grades) by January 3, 2025 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to marco.salvalaglio@tu-dresden.de or to: TU Dresden, Fakultät Mathematik, Institut für Wissenschaftliches Rechnen, Herrn Prof. Dr. Marco Salvalaglio, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.
Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis.
Facts
| Published | 22.11.2024 |
|---|---|
| Number of employees | 8000 |
| Category | Research assistant |
| Location | Germany, Saxony, Dresden |
| Area of responsibility | Research, Engineering, Natural sciences |
| Start date (earliest) | Earliest possible |
| Duration | The position is limited until February 28, 2027. |
| Full/Part-time | The position is generally suitable for candidates seeking part-time employment. |
| Remuneration | subject to personal qualification employees are remunerated according to salary group E 13 TV-L |
| Working language and expected level |
|
| Homepage | http://www.tu-dresden.de/ |
Requirements
| Qualification | • university degree (e.g. Master/Diploma) in mathematics, physics, materials science or related subjects |
|---|---|
| Field of study | Engineering, Natural sciences and mathematics, Materials science, Mathematics, Physics |
| Computerkenntnisse | • Grundkenntnisse der Computerprogrammierung (z. B. Python, Matlab und C++) |
Apply
| Application deadline | 03.01.2025 |
|---|---|
| Application documents | including motivation letter, CV, letter of recommendation and university certificates, i.e. list of academic achievements with grades |
| By post | Technische Universität Dresden
|
| By email | marco.salvalaglio@tu-dresden.de |