2 Postdoctoral Researchers, Multimodal Sensing

We are now looking for

2 Postdoctoral Researchers

to join us in the Center for Machine Vision and Signal Analysis (CMVS) at the Faculty of Information Technology and Electrical Engineering, University of Oulu.

CMVS is a creative, open, and internationally attractive research unit, combining the expertise of computer vision and biosignal analysis scientists. With decades of pioneering research and strong international collaborations, CMVS continues to conduct globally acknowledged work at the forefront of machine vision, signal analysis, AI, and their applications in healthcare, industry, and future digital infrastructures.

About the jobs

We are hiring two postdoctoral researchers, each working in one of our ongoing research projects:

Position 1: Postdoctoral Researcher in Smart Video Sensorization for Healthcare (SViSenS Project)

As a postdoctoral researcher, you will contribute to the Smart Video Sensorization for Secure Healthcare Monitoring (SViSenS) project, which develops privacy-preserving, AI-driven video-based monitoring technologies for healthcare.

Your responsibilities include:

• You will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video.

• You will evaluate algorithms in real-time experimental settings and optimize them for privacy-preserving healthcare monitoring.

• You will collaborate with healthcare professionals to validate solutions in use cases such as respiratory infections, stroke and TIA, Parkinson’s disease, and psychiatric conditions.

• You will co-supervise doctoral and Master’s students, and contribute to high-quality scientific publications.

Position 2: Postdoctoral Researcher in Distributed & Edge AI (ResilientEdge Project)

As a postdoctoral researcher, you will contribute to the ResilientEdge project, an Interreg Aurora collaboration between Finland and Sweden. The project develops secure, adaptable, and scalable edge computing frameworks that integrate AI-driven intelligence and resilient infrastructure for SMEs in manufacturing, logistics, energy, and smart buildings. At CMVS, the focus is on hyperlocal computing, distributed sensing, and scene reconstruction, building synergies with our healthcare sensorization expertise.

Your responsibilities include:

• You will design and implement resilient distributed AI methods for edge computing, including federated learning, agentic AI, and hyperlocal computations.

• You will develop privacy-preserving and adaptive decision-making mechanisms for edge-to-cloud infrastructures.

• You will contribute to the validation of solutions in real SME use cases, ensuring interoperability, security, and scalability in cross-border testbeds.

• You will engage actively with regional and cross-border project partners and SMEs, co-developing use cases and pilots.

• You will co-supervise junior researchers and students, and disseminate results through publications, open-access tools, and stakeholder workshops.

What we offer

• The support of an experienced and enthusiastic team, where you can share your expertise and grow as an expert.
• Wellness benefit ePassi covering sport, culture, and well-being. Read more about other staff benefits here.
• Our Buddy Programme and Spouse Network support you and your close ones in settling into Oulu.
• Development and career options of the big organization.
• We have an HR Excellence in Research -quality label, which is a recognition awarded by the European Commission for the development of researchers’ working conditions and careers. 
• Work that matters and a workplace that promotes flexibility and work-life balance. Read more about working with us.
• Finland is one of the most livable countries in the world, with a high quality of life, safety, an excellent education system, and a competitive economy. Read more about living in Oulu.

Who are you?

We expect from you:

• A doctoral degree in computer science, electrical engineering, biomedical engineering, or a related field (obtained no more than 10 years ago, and completed by the application deadline).

• Strong expertise in at least one of the following: computer vision, machine learning, biosignal analysis, distributed AI, or edge computing.

• Ability to conduct independent scientific work and publish in high-level venues.

• Teaching skills and willingness to supervise students.

• Fluent in written and spoken English.

• Good communication, teamwork, and problem-solving skills.

We also appreciate:

• Finnish language skills (not required, but will be considered positive).

Additionally,

For Position 1 (SViSenS):

• Experience in healthcare-related applications of computer vision or multimodal sensing.
• Ability to interact and collaborate effectively with medical doctors, healthcare personnel and multidisciplinary teams.

For Position 2 (ResilientEdge):

• Experience in distributed computing and sensing, HPC, federated learning, or digital twin technologies.
• Ability to collaborate with partners across different regions, and to engage with SMEs and industry stakeholders in workshops, pilots, and demonstrations.
• Familiarity with local edge computing, distributed sensing, and 3D reconstruction methods.

Salary

The position is fixed-term for 3 years, starting as soon as possible or upon agreement.

The salary will be based on the levels 5-6 of the demand level chart for teaching and research staff of Finnish universities. In addition, a salary component based on personal work performance will be paid (a maximum of 50 % of the job-specific component). The starting gross salary will be approximately 3700-4300 € per month (before taxes).  

A trial period of 6 months is applied to the position.

How to apply?

Interested? If yes, please apply by 09.11.2025 (23:59 Finnish local time) through our recruitment system.

By submitting an application, candidates will be considered for both positions, and during the recruitment process the selected candidates will be assigned to the most suitable role based on their background, skills, and overall fit. You may motivate your preference in the cover letter.

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

1. CV, following the guidelines of the Finnish Advisory Board on Research Integrity 
2. Motivation letter
3. List of publications, following the guidelines of the Academy of Finland 
4. Certificates/Diplomas
5. Contact information of 2 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 welcome applicants from all backgrounds, such as people of different ages, different genders, and members of different linguistic, cultural, or minority groups. 

Contact Information

If you have any further questions, please contact Associate Professor Miguel Bordallo López,
Center for Machine Vision and Signal Analysis (CMVS)
Faculty of Information Technology and Electrical Engineering, University of Oulu
miguel.bordallo [ at ] oulu.fi     + 358 4558 67 9699