PhD student position in Machine-Learning-Enabled Cyber-Physical Systems - Befattningen är under tillsättning eller redan tillsatt, och det är inte längre möjligt att lämna in en ansökan

Department of Applied Physics and Electronics
The Department of Applied Physics and Electronics currently has around 90 employees and conducts research in fields such as energy technology, laser spectroscopy, medical technology and electronics and system engineering. For more information, see www.tfe.umu.se/forskning.

We offer a Ph.D student position in electrical engineering with focus on Machine-Learning-Enabled Cyber-Physical Systems. The closing date is November 4th, 2019.

Description of the PhD-Project
Cyber-Physical Systems (CPS) is a highly interdisciplinary research area that addresses closed-loop interactions of the embedded computing system with the physical environment, featuring integration of computing, communication and control, with applications in almost all aspects on modern society, including autonomous driving, smart buildings, smart grids, smart robotics, smart factories, etc. In recent years, there has been significant interest in integration of Machine Learning (ML) components into safety-critical CPS. It is important and challenging to achieve high-levels of safety assurance for ML-enabled CPS due to complexity and unpredictability of ML algorithms. This project aims to develop rigorous analysis and verification techniques for high-assurance ML-enabled CPS. The project focuses more on the theoretical foundations than on the practical aspects, and aims to develop algorithms and (open-source) tools that are applicable to a broad range of ML-enabled CPS, including for example autonomous driving and smart buildings. Relevant keywords include Machine Learning; (Deep) Reinforcement Learning; Control Theory (Model-Predictive/Robust/Adaptive); Real-Time Systems.

Requirements
To be admitted to doctoral level, applicants are required to have basic eligibility by graduating at the advanced level, or completed course requirements of at least 240 ECTS credits, including 60 ECTS credits at advanced level, or equivalent education abroad, or equivalent qualifications. To meet the requirement of special eligibility for admission to the graduate program in electrical engineering, the applicant must have completed course requirements of at least 120 ECTS credits in the field of electrical engineering or related field.

The applicant should have excellent skills in oral and written presentation in English. Desirable knowledge and skills include Machine Learning, esp. (Deep) Reinforcement Learning. Knowledge of control theory and real-time systems is meriting.

Terms of employment
The appointment aims at a PhD degree and the main task of the PhD student is to pursue their doctoral studies, which includes participation in research projects as well as postgraduate courses. In the assignments, teaching and other departmental work (up to a maximum of 20%) can be included. The employment is limited to four years full-time or up to five years when part-time teaching. The salary placement takes place according to the established salary level for doctoral employment.

Application
Your application should preferably be written in English and must include:

• a cover letter with a brief description of your qualifications, research interests and motivation for applying, and your contact details (max. 2 pages)
• a curriculum vitae (CV),
• copies of relevant degree diplomas and other certificates
• a list of academic courses with grades
• copies of your master thesis and any publications you authored or co-authored (if applicable)
• contact information for three academic reference persons

The application, including attached documents, must be written in English or Swedish. The application is made through our electronic recruitment system. Documents sent electronically must be in Word or PDF format. Log in to the system and apply via the button at the end of this page. The closing date is November 4th, 2019.

Information
The employment is full-time for 48 months.

Starting date: As soon as possible or according to agreement.

Salary is paid according to the established wage steps at the university.

For more information contact Professor Prof. Zonghua Gu, Tel. +4690 7866749, zonghua.gu@umu.se, or prefekt Per Hallberg, Tel. +4690 7868062 per.hallberg@umu.se.

We are looking forward to your application!