Offer Description
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 are values that build a strong foundation for 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.
We are now looking for
a Postdoctoral Researcher
to join the M3S Cloud research group at the Empirical Software Engineering in Software, Systems and Services (M3S), to work on the Multimodal Fusion based Anomaly Detection for Improving Microservice-based System project, funded by Academy of Finland.
The faculty and the research group
M3S (Empirical Software Engineering in Software, Systems and Services) research unit at the Faculty of Information Technology and Electrical Engineering at the University of Oulu, Finland, M3S has a long tradition in industrial and international collaboration. It has actively participated in large European research projects since the 1990’s. Over 30% of the research unit’s staff are international. 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).
Open position
The successful applicant will carry out their research in areas of software architecture in the cloud, and in particular on metrics and anti-patterns for microservice-based systems.
In particular, Mining Software Repositories techniques will be used to detect different types of metrics and anti-patterns from microservices-based systems. The research is part of a project funded by the Academy of Finland. The project develops methods for architectural anomaly detection of microservice-based system. Motivating applications include experience with microservices, and microservices metrics and patterns.
Requirements
- A doctoral degree in a related field, e.g. Computer Science, Software Engineering. Students near completion can also apply. The degree must be completed prior to beginning of the employment. The doctoral degree must have been received no more than 10 years ago.
- Good English skills (writing, speaking)
- Expertise in Microservices, and knowledge of microservices patterns and metrics, knowledge in Literature Reviews and preferably in Multivocal Literature Reviews.
What they offer
- Possibility to do a Postdoctoral fellowship in a top-level research group
- Working in a Research Unit with excellent collaboration with industry
- International environment and projects, English as a working language
- University´s wide variety of support services are at your disposal allowing you to focus on your research.
- In addition to modern research facilities, we offer you personnel benefits such as free occupational healthcare, affordable sport services and endless opportunities to develop your skills and competences.
- Regular salary is paid 12 months per year, including paid leave and an additional holiday bonus in the summer.
- Benefits of the Nordic welfare state, e.g. well-functioning daycare for children, safety, and beautiful nature.
Salary
The position is fixed term for 2 years, starting 1.1.2023 and ending 31.12.2024. A trial period of 6 months is applied to the position. The salary will be based on the levels 5-6 of the demand level chart for university–level 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). Starting gross salary will be approx. 3700€-4100€ per month.
Organisation
University of Oulu
Location
Research field
Deadline
30th November 2022
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