A PhD student in Electronics with focus on Embedded Machine Learning - Hiring in process/Finished, not possible to apply

The research work for this PhD position will be carried out in the Autonomous Sensor Systems group, which conducts research on sensor systems with low energy consumption and long lifetime. These systems can be used in the Internet of Things (IoT) to provide autonomous solutions for applications such as industrial automation, environmental monitoring, or smart cities.

Job description

Independent third-cycle studies encompassing research (100%).

This PhD position focuses on machine learning on low-power embedded systems. Machine learning has been demonstrated to be an effective method for data analysis, amongst others in sensor and measurement systems. However, most of the machine learning models today are trained and executed on powerful computers or in the cloud. Many reasons exist to move the machine learning models closer to the source of the data, which is challenging due to the resource-constraints of typical embedded systems. Moreover, the deployed models should ideally be continuously updated and retrained to adapt to the application context. The key question in this PhD project will be to investigate how this can be accomplished efficiently on low-power embedded systems.

As a PhD student in the Autonomous Sensor Systems group, you will be a vital part of the research group, collaborating with other PhD students, post-docs and senior researchers. Your studies will consist of courses and own research work, developing your competences through theory and experiments. You are expected to bring forward own ideas in the development of your research agenda, and to contribute to the publication and presentation of results. The research group, in turn, will provide a forum for discussion, supervision and assistance during your studies, supporting your research and career development. You will be part of a leading group in the field of low-power sensing systems and be able to exploit the group’s large international network.

The PhD position is jointly supervised by Mid Sweden University, Sweden and ETH Zurich, Switzerland and includes a mandatory one-year research visit to ETH Zurich during your studies.

Entry requirements

General entry requirements include a second-cycle level qualification, or fulfilment of courses comprising at least 240 credits of which at least 60 credits must be at second-cycle level, or the equivalent knowledge gained in some other way in Sweden or abroad. Specific entry requirements include at least 90 credits in the subject of electrical engineering, electronics engineering or computer engineering, or the equivalent knowledge gained in some other way in Sweden or abroad.

Assessment criteria

The assessment of applications to this PhD position will be based on the applicants’ previous experience (e.g., thesis works, projects, internships, and work experience), the relevance of undergone educational programmes and courses, results of previous studies, and the applicants’ vision for the intended PhD studies.

We see it as an advantage if you enjoy working with hardware-close applications such as embedded systems or sensor systems. Previous experience with machine learning is beneficial, but not mandatory. You should have previous experience in programming in, for example, Python, Matlab, or C++.

Personal qualities

In addition to your technical competences, your suitability for PhD studies will be evaluated based on your ability to collaborate with others, to work independently, and to communicate clearly.

Employment process

Processing of the appointment will comply with the provisions in Chapter 5 of the Higher Education Ordinance, and will be carried out in accordance with Mid Sweden University’s Employment Procedures. 

Terms of employment

The doctoral studentship position corresponds to four years of full-time studies and is expected to lead to a Degree of Doctor. The starting date will be according to agreement.

A new position as a doctoral student is initially valid for a maximum of one year, and the position may then be renewed for a maximum of two years at a time. Provisions concerning employment as a doctoral student are contained in the Higher Education Ordinance (1993:100), Chapter 5, Sections 1-7.

Place of employment: Sundsvall, with a mandatory one-year research visit to ETH Zurich, Switzerland. During your stay in Switzerland, you will work under conditions given at ETH Zurich and thus be on leave from Mid-Sweden University.

Salary: In accordance with Mid Sweden University’s salary scale for doctoral students.  

Information

For more detailed information contact Assoc. Prof. Sebastian Bader (email: sebastian.bader@miun.se, phone: +46 (0) 10 142 80 95), or the Head of department, Patrik Österberg (email: patrik.osterberg@miun.se, phone: +46 (0) 10 142 86 14).

Application

Application documents must be submitted in Swedish or English.

The application must include a CV, transcripts from your prior degree programme(s), and a letter of motivation.

Please send in your application through our recruitment system no later than November 17st, 2023.