We, at the University of Oulu, work as part of the international science community to produce new scientific information and science-based solutions. We are committed to educate future pioneers to build a more sustainable, intelligent and humane world. Creating new, taking responsibility and succeeding together build strong foundation in all our actions. We offer a working environment where individuals can cultivate their skills, do meaningful work, and develop professionally. Our university’s several specialized research and service units enable extensive and diverse development and career opportunities for experts in various fields.
M3S (Empirical Software Engineering in Software, Systems and Services) research unit (http://www.oulu.fi/m3s/) at the Faculty of Information Technology and Electrical Engineering (http://www.oulu.fi/itee/) at the University of Oulu, Finland, is seeking a Doctoral Student in Software Engineering to work in Software Operations and Software Anomaly Detection with Machine Learning and Deep Learning starting preferably at January 2022 (negotiable). The doctoral student position is available for three years.
The research work is part of the University of Oulu focus area “Digital solutions in sensing and interactions” (https://www.oulu.fi/en/science-arctic-attitude/digitalization-and-smart-society). In the task, the successful applicant will set up and run software systems, generate runtime load, inject runtime anomalies, collect data of running software systems, generate synthetic data, design, and implement anomaly detection with machine and/or deep learning approaches. The position has a teaching obligation.
M3S research unit’s research theme is empirical software engineering. M3S has a long tradition in industrial and international collaboration and has actively participated in large European research projects since the 1990’s. Over 30% of the research unit is international members. Members of the research unit have published their research in leading software engineering journals and conferences, e.g., IEEE Transactions on SE, IEEE Software, Empirical SE, Information and Software Technology, Journal of Systems and Software, and International Conference on Software Engineering (ICSE).
The candidate is required to have:
– A completed Master’s degree in a related field, e.g. Computer Science. Students near completion can also apply
– Good English skills (writing, speaking)
We appreciate:
– Interest to do high quality research in collaboration with the software industry.
What we offer:
– Possibility to do a doctoral thesis in a top-level research group
– Research Unit has excellent collaboration with industry
– International environment and projects, English as a working language
– Health care benefits provided by the employer
– Benefits of the Nordic welfare state, e.g. well-functioning daycare for children, safety, and beautiful nature.
After acceptance, the doctoral students will be enrolled to the University of Oulu Graduate School’s (UniOGS) doctoral program. The general requirements for admission to the UniOGS can be found at: http://www.oulu.fi/uniogs/requirements_for_admission.
The starting salary will be based on job requirement level 2 of the salary chart of teaching and research staff of Finnish universities. In addition, a salary component based on personal work performance will be paid (maximum of 50 % of the job-specific component). In practice, the salary of a new doctoral student will be roughly 2500 € / month before taxes. The salary is paid for 12 months in a year. Additionally, the doctoral student is entitled to health care benefits. A six-month trial period will be effective at the beginning of the initial 3-year contract.
Application Procedure
Applications, including attachments, should be submitted using the electronic system form by 10 November 2021 at 23:59 (Finnish local time). Finnish time UTC+2. Applications sent by email will not be considered.
The following documents must be attached to the application:
1) Brief curriculum vitae in English,
2) Motivation letter,
3) Master’s thesis document or a link for online access (preferred)
4) Contact information for 1-3 references
For further information regarding the filling of this post:
Professor Mika Mäntylä,
e-mail: mika.mantyla@oulu.fi,