PhD position in renewable energy – electricity production from ocean waves
Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highest quality and relevance to make a long-term difference in society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has over 45,000 students, more than 7,000 employees and a turnover of around SEK 7 billion.
Electrification and digitalisation are among the largest areas for the future in the conversion to sustainable societies. The Department of Electrical Engineering conducts successful research and education in the areas - renewable energy sources, electric vehicles, industrial IoT, 5G communication and wireless sensor networks as well as smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with around 130 employees that all contribute to important technical energy and health challenges at the Ångström Laboratory.
The position will be at the division for electricity, at the Department of Electrical Engineering.
One of the largest challenges of today is how to guarantee the future energy supply in a sustainable way. Ocean waves provide a promising source of renewable energy, but no wave power technology has yet demonstrated sufficiently high efficiency and competitive costs to justify large-scale global installation. In this research project, machine learning algorithms will be developed to increase the performance of wave power parks. A digital twin of a wave power plant will be developed and an algorithm based on collaborative learning will make the wave power plants cooperate and learn from each other how they should move to increase energy conversion. The overall aim of the project is to develop competitive technology for electricity production from ocean waves, and thereby contribute to a sustainable future society. The position is funded by the Swedish research council.
We have an exciting work environment designed by the doctoral student and the research team together. The doctoral student will be supervised by at least two supervisors.
- The doctoral student will develop theoretical and numerical models for optimization of performance and electricity costs for wave power farms.
- The main task for a doctoral student is to engage in the doctoral education, which includes both participation in research projects and doctoral education courses.
- The work duties can also include teaching and other departmental duties up to a maximum level of 20%.
- The applicant must hold a master degree in a field relevant for the position, such as energy systems, engineering physics, electrical engineering, or similar.
- Very good oral and written proficiency in English.
- We will put an emphasis in your personal qualities such as analytical and communication skills. You should be purposeful, structured and be able to work effectively both individually and in groups.
Good oral and written proficiency in Swedish. Courses in machine learning, artificial neural networks or similar.
Please use the link below. You should include a brief description of your research interests and relevant experience, a CV, copies of diplomas and certificates, thesis (or a draft thereof) and other relevant documents. You are encouraged to provide contact information to reference.
Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines.
About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date as agreed. Placement: Uppsala.
For further information about the position, please contact: Jens Engström, email@example.com.
Please submit your application by 10 January 2022, UFV-PA 2021/4458.
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Submit your application through Uppsala University's recruitment system.
Placement: Department of Electrical Engineering
Type of employment: Full time , Temporary position longer than 6 months
Pay: Fixed salary
Number of positions: 1
Working hours: 100 %
County: Uppsala län
Seko Universitetsklubben firstname.lastname@example.org
Number of reference: UFV-PA 2021/4458
Last application date: 2022-01-10
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