The PhD position is part of a larger project of the SDU Software Engineering, titled RUST – Unifying Framework for Reliability, Usability and Security Assessment of Cyber-Physical Production Systems. The Rust project is supporting the Industry 4.0 Laboratory Initiative at University of Southern Denmark. The Industry 4.0 Laboratory is a long-term strategic initiative at SDU created to support research, teaching, and industrial collaboration and experimentation. The University invests more than 15 Mill. EUR over the next five years.
SDU Software Engineering is a relatively new and growing section focusing on many aspects of software engineering and production from requirements to test as well as data and security across many domains. SDU Software Engineering collaborates intensely with industry, and it is expected that a large part of the research is in collaboration with companies across various domains. We are focusing on building a strong collaborative environment and we are currently expanding with many new positions. The section is located in Odense.
The PhD Project
Title: Data-driven Assessment of Reliability for Cyber-Physical Production Systems (CPPS)
Objectives: The goal of this doctoral project is to design and develop tools and methodology that learn reliability models from data that is generated in CPPS. The project will incorporate development of Fault Detection and Diagnosis capabilities, along with methodology for learning causal fault models. Simulation methods will be developed and utilized to analyze reliability and availability of CPPS. Developed models and simulations will be utilized as decision support for preventive maintenance scheduling and optimization of CPPS configuration.
- You will conduct research in the corresponding research area.
- You will develop an open-source software prototype.
- You will publish and present your work both at international conferences and in scientific journals with high impact.
- You will assist in teaching and supervision activities.
Profile and requirements
- MSc degree (equivalent to a Danish master’s degree) in Computer Science, Software Engineering, Informatics or equivalent
- Experience with programming languages (e.g., C++, Java, Python, etc.)
- Comfortable learning new programming languages if needed
- Experience (or a genuine interest) in doing research
- Strong communication skills
- Comfortable working both independently or within a team
- Interested in longer term commitment in a growing research group
- Fluent in English, both spoken and written
For more information, please contact Associate Professor Sanja Lazarova-Molnar, email: email@example.com.
Conditions of employment
Applicants are required to have a master’s degree (equivalent to a Danish master’s degree) at the time of enrollment and employment. Employment as a PhD fellow is a 3-year salaried position (start salary amounts to approx. 3.378,- EURO per month incl. supplements).
Employment of a PhD fellow can only happen after the Head of the PhD School has approved the candidate for admission to the PhD school. Employment and enrollment will cease without further notice at the end of the period.
A PhD fellow is not allowed to have any kind of sideline employment, while enrolled as PhD fellow at the faculty.
Employment is governed by the Protocol on PhD Research Fellows signed by the Danish Ministry of Finance and the Danish Confederation of Professional Associations. Please check links for more information on salary and taxation.
The successful candidate will be enrolled at SDU in accordance with Faculty regulations and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order), read more here.
The assessment process
Read about the Assessment and selection process.
The application deadline is 14.05.2020.
The application must be in English and must include – the required forms must be found at the above mentioned Faculty website:
- Completed TEK PhD application form for 5+3 applicants.
- Motivation letter stating your specific interest, motivation and qualifications for the project in question (max. two pages). Upload in the field called “Project description”.
- Detailed Curriculum Vitae, describing research, publication and teaching experience, computational skills and including personal contact information.
- Verified copies of the official bachelor diploma and master’s diploma and transcripts of exams.
- Completed TEK PhD form for calculation grade point average. Upload in one of the fields called “Publication”.
- An official document describing the grading scheme of the awarding universities (if not Danish). Upload in one of the fields called “Publication”.
- An official and verified written assessment of the thesis or dissertation project from the grade giving institution, if the thesis/examination project is evaluated by approved/passed. The statement must clearly state that the candidate has been among the top 30 pct. in the graduation class for the study programme.
- References, if any. You’re welcome to use the form for reference letter at the Faculty website.
- List of publications and maximum 2 examples of relevant publications, if available.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Deadline: 14 May 2020
Unit: Faculty of Engineering
Read the job description and apply online
Post expires on Thursday May 14th, 2020