Doctoral Researcher in Vehicular Computing - Hiring in process/Finished, not possible to apply

We are now looking for

Doctoral Researcher in Vehicular Computing

to join us in the M3S research unit at the Faculty of Information Technology and Electrical Engineering

Empirical Software Engineering in Software, Systems, and Services (M3S) conducts research at a high international level and publishes widely in the top software engineering journals and conferences. M3S has very strong industry collaboration and a proven track record of making a high impact in the industry. The group has a versatile portfolio of externally funded projects, including Horizon Europe, ITEA, the Academy of Finland, and Business Finland.

The M3S research theme on software-based systems and services promotes innovative and intelligent applications in multiple domains, including vehicular computing and sensing. In close collaboration with relevant industry and academic organizations, we study edge-cloud computing continuum for vehicular networks, software-defined vehicle paradigm with a strong practical viewpoint, and applied machine learning and artificial intelligence for vehicular sensing and sensor data processing. Assistant professor Ella Peltonen and professor Tero Päivärinta lead the research theme.

About the job

In this position, you will:

• Conduct self-initiated and collaborative research contributing to your Ph.D. project.
• Participate in activities and projects that lead to high-quality academic publications.
• Collaborate with the group leader, other researchers, and our collaboration partners to build real-life vehicular computing lab environments. This includes work in Oulu and internationally, especially across Europe.
• Participate in teaching activities subject to the unit’s needs and the successful candidate’s interests, for example, courses focusing on automotive IoT and software-defined systems.

What we offer?

• An exciting position in the fast-forwarding research field of automotive/vehicular computing, software-defined systems, and AI/ML for vehicular sensing applications.
• The support of an experienced and enthusiastic academic environment where you can share your expertise and grow as an expert.
• Great connections to the international academic research community and industrial partnerships with the leading ICT companies in Finland and internationally.
• Development and career options of the big organization; PhD-peer support in your home unit and close-tight research environment where we aim to learn together and support each other.
• Wellness benefits ePassi, covering sport, culture, and well-being. Read more about other staff benefits here.
• Work that matters and a workplace that promotes flexibility and work-life balance. Read more about working with us.

Who are you?

We invite applications from candidates across fields and disciplines of computer science, software engineering, information processing science, mechanical or electrical engineering, or related areas. You have strong research skills in technical and empirical sciences, and you are interested in learning new technologies, including novel programming paradigms in vehicular computing, edge-cloud-continuum, and/or the latest ML/AI development.

Suitable candidates have the capability and passion for working on a research project examining, for example, how to utilize vehicular and environmental sensing data for automotive decision-making, integrating and evaluating edge-native applications for vehicular environment, and/or developing open-source software and interfaces for the vehicular computing environment.

To succeed and enjoy the position, we expect from you:

• A master’s degree in a relevant field, e.g., computer science, software engineering, information processing science, electrical engineering, or related areas.
• Fulfilling the requirements, the University of Oulu Graduate School sets out to successfully apply for doctoral study rights.
• Excellent written and interpersonal communication skills (the working language is English).
• Strong technical background (the project includes programming and technological development).
• Positive attitude towards learning new skills and working in an interdisciplinary environment with people of different backgrounds.

We also highly appreciate:

• Previous experience (projects, courses, or other experience) in machine learning, statistics, applied mathematics, signal processing, OR microservices, cloud computing, mobile application development, IoT, and embedded systems.
• Experience in languages Python, Matlab, R, C-family languages, Scala/Java, or similar, or skillset to learn these in practice.
• Experience in paradigms, including distributed computing, service-oriented computing, and software virtualization, or strong interest in learning these in practice.

Please feel free to add your Github or similar account in your CV or describe projects you have gained experience.

Salary

The position is for a fixed term of four years starting on 1.8.2023 or as negotiated. A probationary trial period of six months is applied to the position.

The starting salary will be based on level 2 of Finnish universities' demand level chart for teaching and research staff. In addition, a salary component of 22% based on personal work performance will be paid. The salary develops according to the achievements to be specified in the doctoral training plan. The starting salary is roughly 2500 - 2600 Euro / month (before taxes).

How to apply?

Interested? If yes, please apply by 10.4.2023 (23:59 Finnish local time) through our recruitment system.

The application should be written in English and include the following:

1. Cover letter (max two pages) summarizing your professional experience and expertise, describing why you are interested in this position, and detailing your research interests, experience, and career plans.
2. CV following the guidelines of the Finnish Advisory Board on Research Integrity
3. List of publications (if any) in line with the guidelines of the Academy of Finland
4. Certificates/Diplomas
5. Contact information of two persons available for recommendation

The eligible applicants fitting best in the profile expected for the position will be invited to an on-site or remote interview. All applicants will be notified during the selection process.

We warmly welcome applicants from different backgrounds, such as people of different ages, genders, and members of foreign language, cultural, or minority groups. 

Contact Information

If you have further questions, please contact Assistant Professor Ella Peltonen, ella.peltonen@oulu.fi.