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The University of Rostock offers a diverse, varied and demanding job in a tradition-conscious, yet innovative, modern and family-friendly university in a lively city by the sea.

At the Faculty of Mechanical Engineering and Marine Technologies, Chair of Data-Driven Analysis and Design of Materials subject to budgetary provisions, we are filling the following position at the earliest possible date (no earlier than 15.08.2024) on a temporary basis for a period of three years:

Research Assistant (m/f/d) - Materials Science

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Start date

15.08.2024

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Working hours

full-time with 40 hours

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Remuneration

pay group 13 TV-L

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Location Rostock
Tender number
W 82/2024
Limitation

limited for three years

Application time 2024-07-15

Please do not hesitate to contact us for further information:

HR department

Mrs Julia Kluth

Phone number: 0381/498-1317

E-mail: julia.kluth@uni-rostock.de

Department:

Dr. Berit Zeller-Plumhoff

THESE ARE YOUR TASKS:

  • research in the field of modelling and simulation of biodegradable implants and their surrounding tissue with the aim of scientific qualification (doctorate)
  • develop and implement appropriate Multiphysics models to describe the tissue-implant interactions
  • research the use of multidimensional surrogate models for the developed models
  • apply and further develop approaches for uncertainty quantification of the implemented models
  • compare the simulations with appropriate experimental data, and plan and perform experiments where required
  • present your research at scientific conferences and publish them in peer-reivewed journals
  • scientific teaching in the amount of approx. 4 semester periods per week in the form of tutorials and practical courses in the field of data science for Master’s (winter semester) and Bachelor’s (summer semester) students, with the aim of enabling students to work scientifically own their own
  • concept, prepare, examine and correct scientific academic performances of the students
  • build up, develop and administer the lecture-related practical (programming) courses
  • support the acquisition of third-party funding

THIS MAKES YOU A GOOD FIT:

  • completed university degree (diploma, master's degree or comparable degree) in mathematics, physics, engineering, materials science or a comparable field
  • experience in mathematical modelling and simulation, as well as data science
  • experience in working with Python or Matlab
  • prior knowledge in implants and their interaction with the body is desirable
  • proficiency in the English language, both written and spoken is required
  • knowledge of the German language or the willingness to learn it in a short time is desirable
  • willingness to work seriously and with commitment on a project of one's own scientific qualification

WE AS AN EMPLOYER:

Equal opportunities are important to us. We welcome applications from suitable severely disabled people or people with equal opportunities. We aim to increase the proportion of women in research and teaching and therefore encourage suitably qualified women to apply. We welcome applications from people of other nationalities or with a migration background.

WE OFFER YOU:

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