Phd Position, Numerical Methods for Efficient Acoustic Metamaterial Design

vor 2 Wochen


BrigGlis, Schweiz MathHire.org Vollzeit

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 with our project partner Prof. Dr Steffen Marburg (Chair of Vibroacoustics of Vehicles and Machines, Technical University of Munich, Germany).

UniDistance Suisse, as an accredited university institute in accordance with the Swiss Higher Education Act (HEdA), has been offering bachelor’s and master’s degrees programs and continuing education and training programs in the faculties of Law, Psychology, Mathematics and Computer Science, Economics and History for over 30 years. These programs can be attended in parallel with family life, professional or sporting career, in a flexible distance learning model.

UniDistance Suisse is dedicated to the highest quality standards in teaching and research. With over 2300 students, it is the leading institution in the field of distance education in Switzerland. It has more than 450 employees, over 350 of whom are involved in teaching and research activities.

We are looking for a:
Research Assistant (with possibility to obtain a PhD) (80%)

**Place of work**: Brig. Remote work is possible, but regular presence (~2 days per week) in the office in Brig is expected.
**Start of work**: upon agreement, preferably in the first quarter of 2025.

Your tasks
- 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.

**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.
- 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.

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


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