Research assistant in the field of grid planning and simulation in energy technology with the possibility of a doctorate (m/f/d)

The Ostbayerische Technische Hochschule Regensburg (OTH Regensburg) is with more than 11,000 students and approx. 1,000 employees are one of the largest universities in applied sciences in Bavaria. Become part of our university as Senior Consultant (m/w/d) in the field of network planning and simulation in energy technology Your working environment The Research Centre for Energy Networks and Energy Storage (FENES) offers the opportunity to participate in current research topics. In this context, well-founded models and operating strategies in the field of network technology are developed and tested in close cooperation with practical partners. Within the framework of the joint project FlexNet Haßfurt, an approach to the design of dynamic network charges is to be developed, implemented and tested in the mid-voltage and low-voltage network of the Stadtwerk Haßfurt. In the course of field testing, the networking use of flexibility options is more closely analysed by dynamic network charges. The aim is to integrate the dynamic network charges in combination with further flexibility options and solution measures to address network shortages of the network operator into network planning. There is the possibility of promotion. Organisational unit: Faculty of Electrical and Information Technology Entry date: next possible Type of employment: Full-time Remuneration: E 13 by TV-L Contract period: up to 30.09.2028 Application deadline: until 26.07.2026

Development of planning and operational management processes for distribution networks (NS / MS / HS) formulation and implementation of optimization models for network planning, network operation and plant use Development and evaluation of flexibility in distribution networks Construction and validation of network models (quasistationary to transient / dynamic) in PowerFactory with Python interface Conception and implementation of measurement campaigns and field tests

Complete university degree in a master's degree course (HAW or Univ.) or in a graduate degree course (Univ.) of the Department of Energy Technology, Computer Science or a comparable discipline Computer knowledge in Python / Pyomo and Gurobi / CPLEX Knowledge of load flow/stability/short-circuit analyses, operational/timetable optimization and network modeling Self-employed, structured working and a high degree of self-initiative Very good knowledge of German and English in word and writing

Attractive social services of the public service Active health promotion 30 days holiday (24.12. and 31.12. extra free) Flexible working time Working in a highly motivated team Home Office opportunities Find out more about our Benefits on our website at oth-regensburg.de/die-oth/jobs-und-karriere/unsere-benefits. The job is part-time, provided that the full-day perception of the job is ensured by job sharing. Equal opportunities and diversity are particularly important to us, and we have already been awarded the TOTAL E-QUALITY award. We are a certified family-friendly university. Applications for women are particularly desirable. The site is suitable for disabled persons. In the case of persons with difficulty who are otherwise in the same suitability, skills and professional performance, You are preferably adjusted. .