Doctoral student in sensor fusion - 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 these 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 150 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!

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

Project description

Recent advances in sensor technology and the widespread adoption of mobile and 5G internet of things devices enable cost-efficient large-scale data collection in many different applications. However, exploiting these opportunities faces several challenges, including privacy issues and limitations in the energy budget, computational power, and connectivity of the participating devices. In this project, these challenges are addressed by developing a new framework for machine learning in spatio-temporal systems that takes these limitations into account. This is realized by leveraging federated learning together with state-of-the-art sequential Bayesian inference methods.

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 Department of Electrical Engineering also gives a salary supplement in addition to the local guidelines for doctoral students at Uppsala University.

Duties

The main duties of this position are to conduct basic as well as applied research in the area of sensor fusion. Particular focus will be on the development and analysis of distributed inference methods for dynamic systems, for example using techniques such as federated learning, Kalman filtering, or sequential Monte Carlo methods. The duties also include algorithm implementation in Python and C/C++ as well as collaboration with industry partners.

The duties also include teaching and other departmental duties (no more than 20 %).

Requirements

• A master’s degree in engineering physics, electrical engineering, or computer science.
• Specialization in signals and systems (signal processing and control theory), machine learning, or computational science.
• Strong background in applied mathematics with a focus on stochastic processes, time series analysis and statistical inference methods.
• Basic knowledge of programming in Python and C/C++.
• Very good oral and written proficiency in English.
• Personal qualities such as good collaboration and communication skills. You should be purposeful, structured and be able to work effectively both individually and in groups.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines.

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

• Oral and written knowledge of Swedish

Application: Apply using the link below. Your application must include:

• A cover letter including a brief description of your research interests and experience,
• your CV,
• copies of diplomas and certificates,
• contact information for at least two references,
• other relevant documents.

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: 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 31 oF August, 2023, UFV-PA 2023/2751.

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