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Research Position in Intelligent Energy Systems - University of Borås

Högskolan i Borås

Västra Götalands län, Borås

Previous experience is desired

30 days left
to apply for the job

University of Borås - Research Position in Intelligent Energy Systems

The University of Borås offers more than just a job – here you can influence and make a difference. It is important to us that you feel good and have a good balance between work and leisure. Therefore, we offer generous conditions and benefits such as flexible working hours, generous vacation agreements, family-friendly conditions, and research time for teachers. Our academic career paths provide opportunities for development and advancement. If you wish, there are also chances for international collaborations, studies, and internships abroad. Our central location in the city provides proximity to most things and good commuting opportunities.

Welcome to us at the Academy of Library, Information, Pedagogy, and IT!

Your Responsibilities

As a researcher at the Department of Information Technology, you will contribute to knowledge development in intelligent energy systems through collaboration with colleagues in the research group CSL@BS, industry partners, and students. Your work will primarily focus on applying agent-based reinforcement learning (RL) to optimize heat load control in district heating networks, within the framework of the project "Data Analysis for Stabilizing Peak Loads in District Heating Networks (DAS)".

The work includes:

  • design and implementation of RL algorithms to address the challenges of variations in peak loads in district heating systems
  • development and use of simulation models to evaluate the effectiveness of different control strategies, including the use of hybrid simulation methods
  • analysis of large datasets from district heating networks and building facilities, to improve the performance of the models
  • close collaboration with industry partners such as Borås Energi och Miljö (BE), Bostäder i Borås (BiB), NODA Intelligent Systems, and Ekkono Solutions to ensure the practical relevance and impact of the research
  • exploration of the use of Federated Learning (FL) and Generative Adversarial Networks (GAN) to improve model training and data access
  • contribution to scientific publications and presentations, to disseminate research results to both the academic and industrial world
  • participation in project meetings and knowledge exchange activities.

Your Qualifications

A PhD or equivalent scientific competence in computer science, informatics, electronics, data analysis, or another relevant subject for the position is required. Additionally, you need to provide documentation that proves you have:

  • experience in reinforcement learning
  • experience in agent-based modeling and simulation
  • ability to work independently as well as good collaboration skills
  • previous experience collaborating with industry partners
  • experience in scientific publishing in machine learning and artificial intelligence.

Meritorious:

  • Skills in programming languages such as Python.
  • Experience in data analysis and visualization techniques.
  • Ability to conduct independent research and work in teams.
  • Excellent written and oral communication skills in English.
  • Experience in Federated Learning (FL).
  • Experience in Generative Adversarial Networks (GANs).
  • Experience in the energy sector, particularly in district heating.
  • Experience in time series data analysis.
  • Demonstrated pedagogical skills.
  • Completed higher education pedagogical training comprising at least 10 weeks of full-time studies (15 credits) or otherwise acquired equivalent knowledge.

Great emphasis will be placed on personal suitability and the ability to collaborate within a project group.

Your Employment

Fixed-term employment for 11 months with a workload of 100% or as agreed. Start as soon as possible. Location: Borås.

How to Apply

Welcome with your complete application including the diary number and attachments via our recruitment system no later than April 30.

Read more about how to apply and what attachments should be included.

The University of Borås encourages applications from individuals with diverse backgrounds, experiences, and perspectives as this enriches and strengthens our operations. We strive for gender balance among employees and value diversity in our activities.

Want to Know More?

The University of Borås is a government authority, which means you receive special benefits, generous vacation, and a favorable occupational pension. Read more about our employee benefits.

You can also read more about what it is like to work with us.

Contact the persons below if you want to know more about your new job:

Alen Doracic, recruiting manager.

Union representatives are Selma Music and Antonios Tsertsidis, Saco-S, who can be reached via the university's switchboard at phone 033-435 40 00. Union representative for OFR/S can be reached via stvidhb@hb.se.

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