Researcher in cybersecure machine learning - Hiring in process/Finished, not possible to apply

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 130 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

Here you will find a stimulating working environment with 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!

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

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.

Duties
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++.

Requirements

• 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.
• 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.

Additional qualifications
The following qualifications are considered a merit but not strictly required:

• Basic knowledge in Swedish.
• Basic knowledge in Bayesian inference.

About the employment
The employment is a temporary position, 12 months. Scope of employment 100 %. Starting date as agreed. Placement: Uppsala 

Application
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

For further information about the position, please contact: Biträdande universitetslektor 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 11 November 2022, UFV-PA 2022/3798.

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