Research Assistant (with possibility to obtain a PhD) (80%)

Research Assistant (with possibility to obtain a PhD) (80%)

Start Date: upon agreement, preferably in the first quarter of 2025.

Place of Work: Brig. Remote work is possible, but regular presence (~2 days per week) in the office in Brig is expected.

The recently approved SNF project, entitled “Numerical Methods for Efficient Acoustic Metamaterial Design” aims to design acoustic metamaterials which are used to manipulate sound waves, with the objective of, for instance, mitigating sound within the audible frequency spectrum. The project will be carried out with our project partner Prof. Dr Steffen Marburg (Chair of Vibroacoustics of Vehicles and Machines, Technical University of Munich, Germany).

Responsibilities

• Development of numerical methods for efficient acoustic metamaterial design.
• Efficient implementation and testing of the methods, e.g., in Python and/or Matlab.
• Preparation of scientific manuscripts for submission in top journals in the field.
• Presentation of the results at conferences and workshops.
• Teaching is possible on a voluntary basis.

Your Profile

• A Master of Science degree (or equivalent) in (applied) mathematics, scientific computing or engineering.
• Strong programming skills, e.g., in Python or Matlab.
• Strong interest in working on a very applied mathematics project with a regular exchange with partners from engineering.
• Background in one or more of the following subfields: numerical linear algebra (e.g., rank-structured matrices, tensor techniques), model reduction, numerical methods for partial differential equations, machine learning, numerical optimisation. Experience in applying these techniques in engineering applications and familiarity in interdisciplinary work are an additional plus.
• Highly independent working style, stamina, and curiosity; reliability and care in the preparation of research results.
• Very good English skills, additional skills in German and/or French are an additional plus.

We Offer

• Versatile and varied work in a university environment.
• Attractive employment conditions.
• Collaboration in a motivated team with exciting further training opportunities.

A complete application package consists of the following documents: a cover letter indicating your motivation for the application, a CV, a two-page research statement summarising the topic and outcome of your M.Sc. thesis and your general research interests, degree transcripts, contact data of one or two references (letters of reference will be collected for short-listed candidates).

Applications will be considered from people who are resident in Switzerland or are considering moving to Switzerland.

For further information, please contact Prof. Dr Matthias Voigt:

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