The Lucerne School of Engineering and Architecture is the leading educational and research institution in its field in Central Switzerland. The School offers practical bachelor’s and master’s degree programs and a variety of continuing and executive education programs, and also carries out applied research and development. It is one of six Schools making up the Lucerne University of Applied Sciences and Arts with its 1,800-plus staff and around 11,500 degree and continuing education students.
For our research and teaching activities in our competence centre Digital Energy and Electric Power, ?url=https%3A%2F%2Fwww.hslu.ch%2Fdeep&module=jobs&id=2123979" target="_blank" rel="nofollow">?url=https%3A%2F%2Fwww.hslu.ch%2Fdeep&module=jobs&id=2123979" target="_blank" rel="nofollow">https://www.hslu.ch/deep , we are looking for a competent personality as
Research Associate Digital Energy Systems 80 - 100%
As a Research Associate: Digital Energy Systems you will contribute to the decarbonisation of our power system through the application of advanced data techniques, algorithms and concepts in electrical power systems, grid modelling, and control. This will include:
Developing approaches and techniques for solving smart grid challenges associated with renewable energy integration, local energy markets or management of distributed energy resources
Designing, implementing and testing models
Deploying and testing these techniques in real-world settings and within the laboratory
Interacting and collaborating with diverse industrial and research partners, including network service providers, energy market operators, start-up companies, large industrial companies, and other researchers at HSLU and across Switzerland
Contributing to research proposals and carrying out research investigations, requiring originality, creativity and innovation
Communicating research results to a range of audiences, including industrial partners and the scientific community
PhD in power systems or a related field. Master’s degree in a relevant engineering field will be considered.
Experienced in power systems modelling, optimization and analysis.
Experienced in machine learning toolboxes and frameworks in particular with the application of data-driven techniques to power system problems. Strong programming skills in Python, R or Matlab is desirable.
Demonstrated ability to work effectively in a collaborative and multi-disciplinary scientific or commercial environment.
Demonstrated success in expressing ideas clearly through oral and written skills in German and English language.
We offer you an attractive position as a research assistant in a stimulating, multicultural work environment with excellent infrastructure.
You have the opportunity to further develop your own ideas and position yourself in your field of research nationally and internationally.
The work site is located on our campus in an attractive location in Horw by Lucerne
Hochschule Luzern is committed to diversity at the workplace. Excellent flexible working arrangements enable all genders to strike the desired balance between their professional development and their personal lives.
Contact and Address
Further information is available from Dr. Antonios Papaemmanouil, Head of Electrical Engineering, Phone +41 41 349 30 90, e-Mail: antonios.papaemmanouilhslu.ch