Research Assistant - Kassel, Deutschland - Universität Kassel

Universität Kassel

Geprüftes Unternehmen

Kassel, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

The following position is to be filled as soon as possible in the Department of Electrical Engineering/Computer Science, Institute of Electrical Engineering - Department of System Operation (Prof. Dr.
Ing. Martin Braun)

Research Assistant (m/w/d), EG 13 TV-H, fixed-term, full-time (currently 40 hours per week)

Application deadline:

Date of hire:
as soon as possible

vacancy number: 37252

Full-time or part-time with 50% to 100% of the regular working hours of a full-time employee.

The position is initially limited until 31 May 2026 as part of the project "STRAIGHT - Increasing quality and efficiency in yield estimation for wind farms" in accordance with WissZeitVG.

The possibility of a doctorate is given.

Would you like to advance the energy transition and are you interested in programming and artificial intelligence? The project "STRAIGHT - Increasing quality and efficiency in yield estimation for wind farms" offers an ideal opportunity to do so.

The primary aim of the research project is to accelerate wind farm planning through digitalisation and data-driven models in order to support the expansion of wind energy.

Methods using artificial intelligence developed and adapted to meet the objectives of the project.

Tasks:

Development of methods to precisely determine the expected energy yields of planned wind farms
Development of AIbased and datadriven methods to solve key problems in wind farm planning and site assessment
Improving the simulation and estimation of wind conditions at complex locations by combining AI approaches with CFD simulations
Reduction of uncertainties related to shortterm wind measurements or incomplete measurement data at planned wind farm sites
Analysis of wind measurement and weather model data, e.g., with regard to correlations or patterns in the data
Implementation of efficient data pipelines for scientific analyses and for training models
Evaluation and estimation of uncertainties of the developed methods in their use for investment decisions
Communication of the results to partners from the wind energy industry and research
Scientific collaboration in the abovementioned project
Preparation of scientific publications and conference papers based on the results

Requirements:

Completed course of academic study (Master degree) within the field of data science, mathematics, computer science, physics, meteorology or a related natural science or engineering degree with at least a good grade. The required degree must be available by the recruitment date at the latest. The degree required for this position must have been obtained by the starting date at the latest.
Interest in scientific work in the field of wind energy, in particular site assessment of wind turbines
Programming skills, ideally with Python
Goalorientated thinking, strong analytical skills, team spirit
Independence, initiative and enjoyment of interdisciplinary collaboration

Advantages are:

Knowledge in the field of energy meteorology
Knowledge in the field of wind energy
Knowledge in the field of machine learning/artificial intelligence
Very good knowledge of German and/or English

We offer:

The position is designed for further scientific development and is supported accordingly. This is associated with very good opportunities for a doctorate or further scientific development after a PhD
Possibility to realise your own ideas within the framework of the research project topic
Close cooperation with the Fraunhofer Institute for Energy Economics and Energy System Technology (Fraunhofer IEE) as well as further research and industry partners in the field of wind energy
Supervision of the scientific work by experienced scientists at Fraunhofer IEE, as well as integration into the research team "Site Assessment Wind" at Fraunhofer IEE
Flexible working hours and the option to work from home enable a good worklife balance

For further information please contact Dr. Doron Callies, doron.calliesuni-, Dr. Lukas Pauscher lukas.pauscheruni- or Dr. Alexander Basse,uni-,

Our Offer:

As an employee of the University of Kassel
- you will be offered an interesting and diverse range of tasks within the framework of a modern and ambitious university,
- you will be part of an interdisciplinary team with a good and collegial working atmosphere,
- you will have the opportunity to participate in professional and interdisciplinary further education measures,
- is your workplace with good connections to public transport, which you can currently use free of charge.

In addition, you will benefit from the advantages of employment in the public service such as:

an additional company pension (VBL),

- an optional child supplement in accordance with TV-Hessen, a family-friendly university (including childcare for emergencies),
- an annual bonus
- an entitlement to capital-accumulation