Study and career opportunities
The programme is ideally suited for students envisioning a career in academic research or R&D in our key areas (Photovoltaics and energy materials ; Quantum science and technology; Soft and living matter; Machine learning for physics). Universities, research centres, and materials-oriented companies in Luxembourg and worldwide are natural outlets. The general analytical and problem-solving skills acquired can lead to other careers requiring complex data analysis. Graduates can also find career opportunities in teaching and outreach.
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Study programme brochure
Learning Outcomes
- Broadly understand several key areas of general physics and advanced condensed matter physics
- Broadly understand the operational principles and performance of key physics instrumentation and technologies relevant to their chosen specialisation
- Evaluate and analyse scientific data using analytical and numerical methods
- Formalise a practical problem and solve it using quantitative analytical or numerical tools
- Assess the validity of data generated by computers or physics instrumentation including the estimation of error sources
- Adopt a general critical-thinking attitude towards data and the scientific literature
- Efficiently use computer and write computer programs as well as using existing software packages
- Explore new areas of research through independent study
- Communicate research results to a scientific or a non-expert audience
- Write scientific articles, reports, or thesis in accordance with the ethical principles of scientific integrity and professionalism
- Assess the risks of a project and constructively manage failure
- Work in a multicultural group environment
Study perspectives
Graduates can continue their studies with a PhD in Physics at the University of Luxembourg.
Job perspectives
Here are some examples of alumni careers who graduated with the Master in Physics:
- Postdoctoral researcher, Polytechnic University of Catalonia
- Physics teacher, Lycee Ermesinde
- Actuarial Analyst, AIGÂ
- Data scientist, US Army
- Senior process engineer, ASM International