Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Technology, Department of Electrical Engineering

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, machine learning and wireless sensor networks as well as smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with around 140 employees that all contribute to important technical energy and health challenges at the Ångström Laboratory.

The position will be at the Division of Signals and Systems, at the Department of Electrical Engineering where you will find a stimulating work environment with a network of Ph.D. students and many interesting projects. The Division of Signals and Systems collaborates with Swedish companies as well as the public sector. We are looking forward to your application. Join us and build the future together with us!

Project description: Machine learning is becoming a key component in many modern devices and services, ranging from personal mobile devices to autonomous vehicles or smart grids. To improve the underlying machine learning models, it is often crucial that devices share data among each other or with a central authority. This raises several privacy and cybersecurity issues and it must be ensured that both user data remains safe and that user’s privacy is ensured. In this project, we investigate how these challenges can be addressed using modern privacy-preserving approaches such as federated learning, differential privacy and machine learning using encrypted data.

Read more about our benefits and what it is like to work at Uppsala University

The main duties of this position are to conduct applied research and practical implementation of research results. In particular, the duties are to develop novel secure machine learning methods based on homomorphic encryption schemes together with their practical implementation in Python and C/C++.


  • The applicant must hold a Ph.D. degree or a foreign degree equivalent to a Ph.D. degree in computer science, signal processing, control theory or related.
  • The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for the employment. The starting point of the three-year frame period is the application deadline. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.
  • Knowledge of information security, cryptography, and abstract algebra.
  • Knowledge of programming in Python and C/C++.
  • Very good written and oral proficiency in English.
  • Personal qualities such as good collaboration and cummunication skills. You should be purposeful, structured and be able to work effectively, both indiviudally and in groups.
  • Knowledge in Bayesian inference.

Apply using the link below. Your application must include:

  • A cover letter including a motivation of why you are interested in this position and how the position aligns with your qualifications, as well as a short description of your previous experience,
  • your CV,
  • your list of publications,
  • other relevant documents.

About the employment
The employment is a temporary position of 2 years according to central collective agreement.  Scope of employment 100 %. Starting date as agreed. Placement: Uppsala.

For further information about the position, please contact: Associate senior lecture Roland Hostettler, e-mail: roland.hostettler@angstrom.uu.se , tel.: 018-471 3265 eller Professor Subhrakanti Dey, e-mail: subhrakanti.dey@angstrom.uu.se , tel.: 018-471 7059. 

Please submit your application by Februari 28, 2023, UFV-PA 2023/437.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.  

Type of employment Temporary position
Contract type Full time
Salary Fixed salary
Number of positions 1
Full-time equivalent 100%
City Uppsala
County Uppsala län
Country Sweden
Reference number UFV-PA 2023/437
Union representative
  • Seko Universitetsklubben, seko@uadm.uu.se
  • ST/TCO, tco@fackorg.uu.se
  • Saco-rådet, saco@uadm.uu.se
Published 01.Feb.2023
Last application date 28.Feb.2023 11:59 PM CET

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