Two PhD student positions in Electrical Engineering with specialization in Automatic Control
Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has 46.000 students, 7.300 employees and a turnover of SEK 7.3 billion.
The Department of Electrical Engineering has a leading position in research and education. The Department has an international environment with about 130 employees at the Ångström Laboratory.
Two doctoral students will be recruited for the Division of Signals and Systems. The Division conducts leading research over different areas, which include signal processing, control engineering, cybersecurity of control systems, wireless communication, energy harvesting sensor networks, and pedagogy and didactics in engineering.
The recruited doctoral students will join the research group focused on cybersecurity of control systems. Our group develops new theory and methodologies that support the analysis and design of secure and reliable control systems in safety-critical applications, such as water management, electric power systems, and medical treatment systems. Information about our research group and ongoing projects is available at this website: http://www.signal.uu.se/Research/Security.html
Project description: The research projects for the advertised positions will be within the areas of control engineering, cybersecurity, and reinforcement learning. The application area will be focused on digital control systems operated over communication networks that may be subject to cyber-attacks. As a member of a cross-disciplinary team, you will contribute to providing solutions for enhancing the security and resilience of control systems.
These positions will have a focus on developing novel system analysis and design methodologies that jointly consider the impact and detectability of attacks under uncertainty, taking inspiration from model-based approaches related to optimal fault detection and optimal robust control, and from data-driven solutions such as reinforcement learning. The developed methods shall support the design of anomaly detection and control algorithms for improved security and resilience, which will be validated on experimental testbeds and though numerical simulations.
Duties: Your main responsibility will be to pursue your own doctoral studies, which includes participation in the research project and in doctoral education. The employment is time-limited following the regulations for Ph.D. employment in the Higher Education Ordinance. The position is limited to 5 years, which may also include teaching and other departmental duties (no exceeding 20%).
Eligibility requirements: To be admitted to postgraduate education, the applicant must have basic eligibility in accordance with the following:
- Master’s degree in Electrical Engineering, Engineering Physics, or equivalent, with basic skills in automatic control.
- Completed course requirements comprising of at least 240 credits, of which at least 60 credits at advanced level (Master's level), or the equivalent.
- Very good communication skills in oral and written English.
- The successful applicant is expected to hold, or soon complete, an MSc degree in engineering physics, electrical engineering, computer science, or similar.
Additional qualifications: A specialization in control systems, applied mathematics, or machine learning is an asset. Knowledge in cybersecurity, anomaly detection, robust control or reinforcement learning is a merit, but not a requirement.
Other important personal qualities are openness to interdisciplinary research, creativity, correctness, and structured approach. The selection of applicants will be based on their ability to:
- independently push their work forward
- be able to collaborate with others
- have a professional approach and
- analyze and work on complex problems
Following the eligibility requirements, great emphasis will be placed on personal characteristics and personal fitness to the position.
Application: Please use the link below. The application should include all of the following items:
- CV including your relevant academic and professional merits, and other experience and knowledge.
- A cover letter (at most 2 pages) describing yourself, your motivation for applying to this position, your qualifications and research interests, and evidence of self-motivation and constructive teamwork.
- Copy of degree certificates and grade transcripts, including their translation to English or Swedish if they are in another language.
- Representative publications and/or technical reports of the applicants own authorship (no more than 8 pages per publication). In case of larger documents (e.g., a MSc thesis report), submit instead a short summary and a link to the full report.
- Contact information for at least two references and/or their recommendation letters.
Applications may be submitted by candidates that have not fully completed the Master of Science degree (or equivalent), however candidates must state when they expect to graduate. All applicants should state the earliest feasible starting date of employment.
Rules governing Ph.D. candidates are set out in the Higher Education Ordinance Chapter 5, §§ 1-7 and in Uppsala university's rules and guidelines http://regler.uu.se/search/?hits=30&languageId=1&search-language_en=English
Salary: According to local agreement for PhD students.
Starting date: As otherwise agreed.
Type of employment: Temporary position according to the Higher Education Ordinance chapter 5 § 7.
Scope of employment: 100 %
For further information about the position please contact: Dr. André Teixeira (email@example.com) or Prof. Anders Ahlén (firstname.lastname@example.org)
Please submit your application by 17 August 2020, UFV-PA 2020/2710.
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Please do not send offers of recruitment or advertising services.
Submit your application through Uppsala University's recruitment system.
Placement: Institutionen för elektroteknik
Type of employment: Full time , Temporary position longer than 6 months
Pay: Fixed salary
Number of positions: 2
Working hours: 100 %
County: Uppsala län
Seko Universitetsklubben firstname.lastname@example.org
Number of reference: UFV-PA 2020/2710
Last application date: 2020-08-17
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