Umeå University, Faculty of Science and Technology

Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture.

The ongoing societal transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here.

Are you interested in learning more? Read about Umeå university as a workplace

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 Applied Physics with focus on Safety-Critical Embedded and Cyber-Physical Systems. The closing date is March 31st 2020.

Description of the PhD-Project
Cyber-Physical Systems (CPS) is an interdisciplinary research area that addresses closed-loop interactions between the embedded computing system and the physical environment, featuring integration of computing, communication and control, with applications in almost all aspects on modern society, including smart robots, smart buildings, smart grids, smart factories, etc. In recent years, there has been significant interest in integration of Machine Learning (ML) components into safety-critical embedded and CPS. It is important but 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 design, analysis and verification techniques for high-assurance ML-enabled CPS. The project focuses more on the theoretical foundations than on practical applications. Relevant keywords: Machine Learning, Reinforcement Learning, Real-Time Embedded Systems, Control Theory.

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, including 60 ECTS at advanced level, or equivalent education abroad, or equivalent qualifications. To meet the requirement of special eligibility for admission to the graduate program in applied physics, the applicant must have completed course requirements of at least 120 ECTS in the field of physics or related field directly relevant to the PhD-position. Knowledge of control theory and real-time systems is meriting. 

The applicant should have excellent skills in oral and written presentation in English. 

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.

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 March 31st 2020.

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.

Umeå University wants to offer an equal environment where open dialogue between people with different backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment.

We are looking forward to your application!

Type of employment Temporary position
Contract type Full time
First day of employment 2020-04-01 or as agreed
Salary Monthly salary
Number of positions 1
Full-time equivalent 100 %
City Umeå
County Västerbottens län
Country Sweden
Reference number AN 2.2.1-199-20
Contact
  • Zonghua Gu, 090-786 67 49
  • Per Hallberg, 090-786 80 62
Union representative
  • SACO, 090-786 53 65
  • SEKO, 090-786 52 96
  • ST, 090-786 54 31
Published 10.Feb.2020
Last application date 31.Mar.2020 11:59 PM CEST

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