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Research Associate (Wissenschaftliche Mitarbeiter*innen, salary level E 13 TV-L, part-time)

Universität Münster -
Münster

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Details zur Stelle

Teilzeit | Vollzeit
vor 13 Tagen

Qualifikationen

AutoCAD
Fertigung
MATLAB
Master
C++

Vollständige Stellenbeschreibung

Creating knowledge. Making a difference. Shaping the future. This is what the University of Münster stands for as one of the strongest research-oriented universities in Germany and one of the largest employers in the region. Every day, over 7,000 employees devote themselves to cutting-edge research and excellent teaching. We share more than a workplace. We share the desire to make a real impact – regionally and internationally. Our day-to-day work is distinguished by diversity, openness and space to pursue one’s ideas. Become a part of our team – in academia, a technical or manual trade, or administration.

The Collaborative Research Center 1459 Intelligent Matter: From Responsive to Adaptive Nanosystems funded by the German Research Foundation and established at the University of Münster, Germany, is seeking to fill a position of a

**Research Associate (Wissenschaftliche Mitarbeiter*innen, salary level E 13 TV-L, part-time)**

at the earliest possible date. We are offering a fixed-term part-time position (75%), initially limited to three years. The CRC 1459 and its integrated research training group offer an outstanding infrastructure and a comprehensive and interdisciplinary training program in the design and study of intelligent matter. The program will enable the researcher to carry out frontier research and empower them for future research and management tasks in industry and academia. Full-time employees are required to teach 4 hours per week during the semester.

The researcher position forms part of an intensive and interdisciplinary research program on the conceptualization and realization of intelligent matter. Intelligence is the ability to perceive information and to retain it as knowledge to be applied towards adaptive behaviour in a changing environment. The CRC 1459 is inspired by the question whether synthetic matter can have intelligent properties. Such intelligent matter would provide entirely new opportunities for instance for the development of artificial skin, soft robotics with adaptive tactility, and brain-inspired computing with reduced energy consumption. The CRC 1459 involves 26 project leaders at University of Münster and University of Twente. More information on the research program of CRC 1459 is available at: www.uni-muenster.de/sfb1459/research. This project is project C02 in the group of Professors Pernice and Van der Wiel.

Your tasks:

Experimental research in project C02 in the CRC 1459
Collaboration with other research groups within the CRC 1459
participation in self-administration
collaboration in research and teaching
This position is tied to working towards a doctorate (position at least 75%)

Our expectations:

Outstanding master’s degree in engineering or a closely related field
Hands-on experience in cleanroom nanofabrication, in particular electron-beam lithography, including the patterning of sub-100 nm and short-channel device structures.
Experience with thin-film deposition and etching processes (e.g. electron-beam and thermal evaporation, physical vapour deposition, reactive ion etching).
Expertise in the fabrication and characterization of two-dimensional materials and van der Waals devices (e.g. transition-metal dichalcogenides), including 2D-material transfer
Experience in electrical device characterization, including room- and low-/variable temperature transport measurements using source-measure units (e.g. Keysight, Keithley).
Familiarity with nanoscale structural and spectroscopic characterization (e.g. AFM, SEM, Raman spectroscopy, XRD, photoluminescence, XPS).
Experience in contact engineering and the analysis of contact resistance and Schottky barrier physics in nanoscale transistors.
Proficiency in mask/layout design tools (e.g. CleWin, AutoCAD, DesignCAD) and in scientific data analysis (e.g. Origin, Gwyddion).
Programming and data-processing skills (e.g. C++, MATLAB) for instrument control and measurement evaluation.
A strong scientific track record, evidenced by peer-reviewed publications and/or patents.
Ability to work both independently and collaboratively in an interdisciplinary, international research environment.

Advantages for you:

A vibrant, interdisciplinary environment with outstanding facilities and a track record of intense and successful scientific collaboration.
A stimulating environment for professional success including lectures, colloquia, workshops and symposia in addition to individual training trough research.
Appreciation, commitment, openness and respect – values which are important to us.
If you have family members or young children in your care, our Family Service Office offers concrete support to help you balance your private and professional responsibilities.
As an educational institution, we are deeply committed to offering occupational training and continuing education opportunities tailored to your individual needs.
As a university employee, you are entitled to numerous benefits afforded to public servants, e.g. an attractive company pension scheme (VBL), an annual end-of-year bonus and a position that is shielded from economic fluctuations.

The University of Münster strongly supports equal opportunity and diversity. We welcome all applicants regardless of sex, nationality, ethnic or social background, religion or worldview, disability, age, sexual orientation or gender identity. We are committed to creating family-friendly working conditions.

We actively encourage applications by women. Women with equivalent qualifications and academic achievements will be preferentially considered unless these are outweighed by reasons which necessitate the selection of another candidate.

Are you interested? Then we look forward to receiving your complete CV, a recommendation letter, and a motivation letter (maximum 1 page) by 2026-07-24 Please send your application electronically in PDF format to [email protected] with reference number PhD2026. Please note that we cannot consider other file formats.

Reference number: 2026_07_15

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