The University of Kassel is a modern and growing University with round about 21.000 students. The university’s wide range of expertise covers subjects in the natural, applied, cultural and social sciences.

In the Department Electrical Engineering/Computer Science, Department of Sustainable Electrical Energy Systems (Prof. Dr.-Ing. Martin Braun), the following position is expected to open on June 1, 2026:

Scientist (m/f/d) for the Development of Innovative Methods for Turbulence Measurements Using Super-Long-Range Scanning Lidar, EG 13 TV-H, fixed-term, full-time (currently 40 hours per week)

Application deadline:
26.05.2026

Date of hire: 01.06.2026

vacancy number: 39241
The position is initially limited until May 31, 2029, in accordance with § 2 (2) WissZeitVG. The opportunity to pursue a doctorate is provided.

The appointment is intended to take place within the framework of the third-party funded project “Collaborative Project: UPGRADE – Super Long Range Laser Anemometry for the Determination of Offshore Wind Conditions; Subproject: Development of Innovative Methods for Turbulence Measurement with Super-Long-Range Scanning Lidar,” subject to the approval of the project.

Are you interested in advancing the energy transition and in the precise measurement and modeling of offshore wind conditions, particularly turbulence. Are you passionate about the further development of measurement technology and models for wind energy applications? The UPGRADE project offers a great opportunity to pursue research in these fields. The goal of the UPGRADE project is to improve and test super-long-range scanning lidars (SLRSLs) for the first time for use in wind energy, in order to determine wind conditions — including turbulence — over long distances with high accuracy and to qualify them for the development and operation of large offshore wind farms.

The University of Kassel, together with the project partners, is co-developing hardware and software components as well as special algorithms for improved turbulence measurements. This includes, among other things, the development of modeling approaches and algorithms to improve turbulence measurements with lidar, the analysis of single- and dual-Doppler measurements over very long distances, the quantification of measurement uncertainties and the evaluation of the potential of the new methods for use in the wind energy industry. The position also comprises experimental fieldwork to conduct measurement campaigns. In the future, the developed methods are to be incorporated into the standardization processes of the International Electrotechnical Commission and made available for further applications (e.g., wind farm optimization, service life extension).

Responsibilities:

• Scientific collaboration on the aforementioned project
• Development of models for improving and correcting turbulence measurements using lidar
• Analysis and processing of wind measurement data from various instruments
• Development of AI-based and data-driven models for correcting turbulence measurements using lidar
• Simulation of atmospheric turbulence using various modeling approaches
• Supporting work during the implementation of measurement campaigns in the project
• Determination of uncertainty in wind speed and turbulence measurements using lidar
• Application of the results to wind energy applications within the framework of IEC standards and relevant guidelines
• Publication of research results

Requirements:

• A university degree in an engineering, geography, computer science, economics, mathematics or natural sciences program, completed with at least a B grade. The required degree must be obtained by the start date at the latest
• Interest in scientific work in the field of energy meteorology, particularly atmospheric turbulence
• Solid knowledge in one or, ideally, several of the following fields: meteorology, wind energy, flow simulations, turbulence research, signal processing, AI applications, mathematics, physics
• Significant prior experience using a scripting or programming language — ideally Python
• Goal-oriented thinking, strong analytical skills, team spirit
• Independence, initiative, and a passion for interdisciplinary collaboration
• Submission of a cover letter demonstrating the candidate’s suitability based on the requirements in this job posting
• English: very good command

The following are advantageous:

• Experience in data analysis and modeling, ideally with Python
• Experience in the field of energy meteorology
• Experience with atmospheric measurement technology — ideally in the context of wind energy
• Experience in turbulence measurements or modeling
• Experience in large eddy simulation
• Scientific publications — ideally in a field relevant to the position
• Knowledge of wind conditions and turbulence
• Knowledge in the field of boundary layer meteorology
• Knowledge of wind farm planning, project development, or operations
• German: very good command
• A Ph.D. in a relevant topic

What we offer:

• The position is geared toward scientific advancement and is supported accordingly. This includes excellent opportunities to pursue a Ph.D. or further scientific development after completing your Ph.D.
• Opportunity to implement your own ideas within the scope of the research project
• Participation in summer schools at other international universities
• Close collaboration with industrial companies in the lidar technology and in the certification and planning of wind energy projects
• Close collaboration with the Fraunhofer Institute for Energy Economics and Energy System Technology (Fraunhofer IEE) as well as research and industry partners in the field of wind energy
• Supervision of research work by experienced scientists at Fraunhofer IEE
• Flexible working hours and the option to work from home enable a healthy work-life balance

If you have any questions, please contact Dr. Lukas Pauscher at lukas.pauscher(at)uni-kassel.de .

In the event of any differences between the German and English versions of this call for application, the German wording is legally binding.

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 benefits,
• a promotion of voluntary commitment,
• low-cost participation in university sports and a full range of fitness activities as part of Unifit, as well as workplace health management

You can find more jobs at stellen.uni-kassel.de

Please send your application with the usual informative documents, stating the reference number in the subject line, via the online form. We have compiled further information for you in our .

In exceptional cases, we will also accept your application documents in paper form addressed to: The President of the University of Kassel, 34109 Kassel, Germany, or via mail to , stating the reference number.

In the case of postal applications, please submit only copies of your documents (no folders), as these cannot be returned. All documents will be destroyed after completion of the selection process in compliance with data protection regulations.

The protection of your personal information is very important to us, so we will handle your personal information with care. By your application, you allow us the storage and use in the sense of the Hessian Data Protection and Freedom of Information Act. You can object to this at any time. Your personal data will be deleted.

Information according to Art. 13 DSGVO for the application process at the University of Kassel can be found at:

Information and FAQ about applying for a job offer:

The University of Kassel is very interested in the professional satisfaction of its employees. It is distinguished as a family-friendly university and, in the interests of equal opportunities, strives to offer everyone the same opportunities for development and to counteract existing disadvantages. It promotes the Family Welcome Service and also the Dual Career Service for positions that are scientifically and academically filled. One of the strategic goals of the University of Kassel is to significantly increase the proportion of women in research and teaching. Applications from women are therefore particularly welcome. Seriously handicapped and equivalent applicants are given preference if they have the same suitability, qualifications and professional performance. Full-time positions are generally divisible (except when filling civil servant positions). Applications indicating the Position Number, which may be in digital form, should be sent to the President of the University of Kassel, 34109 Kassel, Germany quoting the applicable reference number.