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Kimmo Halunen

Professor at University of Oulu

University of Oulu

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Finland

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Research Interests

Internet Of Things

30%

Artificial Intelligence

20%

Computer Science

30%

Electrical Engineering

30%

Robotics

30%

Information Technology

30%

Industry 4.0

20%

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Positions3

Publisher
source

Kimmo Halunen

University Name
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University of Oulu

Doctoral Researcher in Safety and Security in Artificial Intelligence

The University of Oulu, a leading multidisciplinary and international research university in Finland, invites applications for a Doctoral Researcher position focused on Safety and Security in Artificial Intelligence. The successful candidate will join the Biomimetics and Intelligent Systems Group (BISG) within the Faculty of Information Technology and Electrical Engineering. BISG is renowned for its research in Data Analysis, Robotics, Secure Programming, and Bio-IT, with application areas spanning industrial process optimization, Industry 4.0, health and well-being systems, environmental monitoring, dependable IoT, and artificial-natural system integration. This doctoral position is part of the strategic AIVuTeP project (Open Source Artificial Intelligence Vulnerability Testing Platform), funded by Infotech Oulu for 2026-2028. The project aims to advance the understanding and practical management of AI vulnerabilities, focusing on security and safety as core ethical requirements. The researcher will engage in both theoretical and practical work: analyzing the discourse around AI vulnerabilities to clarify concepts and monitoring real-world AI incidents to assess the impact of security and safety issues. The ultimate goal is to contribute to the development of an open-source platform for identifying and addressing safety and security concerns in AI systems. The position offers the support of a dynamic team of over 60 experts, access to wellness benefits (ePassi), career development opportunities, and a flexible, inclusive work environment. The University of Oulu holds the HR Excellence in Research label, ensuring high standards for researcher working conditions. The city of Oulu provides a high quality of life, safety, and excellent educational and social infrastructure, making it an attractive destination for international researchers. Eligibility requires a completed Master's degree in Computer Science, Computer Engineering, or a related field before the start date, fluency in English, strong communication skills, and prior experience with AI. Candidates should be willing to tackle interdisciplinary research problems and meet the requirements of the University of Oulu Graduate School (UniOGS). Practical expertise in AI, interdisciplinary collaboration, and knowledge of ethics and philosophy are valued. The position is full-time and fixed-term for three years, with a starting gross salary of approximately 2600-3200 € per month (before taxes), determined by the Finnish university demand level chart and personal performance. A 6-month trial period applies. The application deadline is 15 January 2026. Applicants should submit a cover letter, CV (per Finnish Advisory Board on Research Integrity guidelines), certificates/diplomas, and contact details for two referees via the university's recruitment system. Shortlisted candidates will be invited for an interview, and all applicants will be notified of the outcome. For further information, contact Professor Kimmo Halunen ([email protected]) or Docent Lauri Tuovinen ([email protected]). The University of Oulu welcomes applicants from diverse backgrounds and is committed to equality and inclusivity.

3 months ago

Publisher
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Kimmo Halunen

University Name
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University of Oulu

Doctoral Researcher in Machine Learning and Cybersecurity

The University of Oulu, a leading multidisciplinary and international research university in Finland, invites applications for a Doctoral Researcher position in Machine Learning and Cybersecurity. The successful candidate will join the Biomimetics and Intelligent Systems Group (BISG) within the Faculty of Information Technology and Electrical Engineering. BISG is renowned for its research in Data Analysis, Robotics, Secure Programming, and Bio-IT, with application areas spanning industrial optimization, Industry 4.0, health and well-being systems, environmental monitoring using mobile robots, dependable IoT, and artificial-natural systems. This position is part of the DIAMOND project, funded by the European Union through the Marie Skłodowska-Curie Actions programme. The project focuses on developing data-efficient machine learning and deep learning models for sensor/data fusion at the edge, proactive spatiotemporal forecasting, and decision-making for edge-cloud continuum systems. The researcher will extend these solutions to address cybersecurity challenges, including various attack scenarios and mitigation methods. The work includes creating performance metrics for autonomous robotic perception and reasoning systems, applying physics-aware approaches with geometric constraints and prior knowledge. The developed frameworks will be demonstrated in DIAMOND project examples, such as UAV inspection and art transport, ensuring sectoral adaptability and open access programming. The position offers a supportive and enthusiastic team environment, wellness benefits (ePassi), career development opportunities, and a flexible workplace promoting work-life balance. The University of Oulu provides a Buddy Programme and Spouse Network to assist newcomers. The institution holds the HR Excellence in Research label, recognizing its commitment to researchers' working conditions and career development. Finland is known for its high quality of life, safety, excellent education system, and competitive economy. Funding includes a fixed-term contract for 3 years, a starting gross salary of approximately 4200 € per month (before taxes), mobility allowance, and family allowance for up to 27 months if applicable. The position allows for two secondments with project partners, including potential industrial collaboration. Applicants must have a Master's degree in Computer Science, Engineering, or a related field, completed before the application deadline. Fluent English is required, and experience in Machine Learning or Cybersecurity (preferably both), programming, mathematics, and statistics is expected. Finnish language skills and prior experience in ML and cybersecurity are considered advantageous. Candidates should be able to work in a diverse, international research environment and meet the requirements of the University of Oulu Graduate School (UniOGS). To apply, submit your application online by 22.2.2026, including a cover letter, CV (following Finnish Advisory Board guidelines), certificates/diplomas, and contact information for two referees. Applications must be written in English. Eligible candidates will be invited to an interview, and all applicants will be notified during the selection process. The University of Oulu welcomes applicants from all backgrounds and encourages diversity. For further information, contact Professor Kimmo Halunen ([email protected]) or Associate Professor Jaakko Suutala ([email protected]).

2 months ago

Publisher
source

Kimmo Halunen

University Name
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University of Oulu

2 Doctoral Researchers in Machine Learning and Cybersecurity (SafeEarth Research Programme)

The University of Oulu, a leading multidisciplinary and international research university in Finland, is seeking two Doctoral Researchers for the SafeEarth Research Programme within the Biomimetics and Intelligent Systems Group (BISG) at the Faculty of Information Technology and Electrical Engineering. The positions are based in the Computer Science and Engineering unit, offering a vibrant research environment with global collaborations and innovative projects. BISG is renowned for its multidisciplinary research in data analysis, robotics, secure programming, and bio-IT. The SafeEarth Research Programme, supported by the Research Council of Finland, focuses on recognizing and tackling safety and security threats, including natural hazards from solar storms, minimizing humanmade cyber attacks, and understanding protective actions through language and communication. The research areas span optimization of industrial manufacturing, Industry 4.0, health and well-being systems, environmental monitoring with mobile robots, dependable IoT, and seamless artificial-natural systems. As a doctoral researcher, you will investigate wireless network security topics, focusing on new threats arising from the rapid adoption of AI techniques in wireless systems. Your work will include exploring AI as a tool for enhancing wireless security and automation, ensuring the security of AI lifecycles integrated with wireless systems, and detecting stealthy attacks caused by adversarial AI. The role requires a strong understanding of security principles, wireless systems, mathematical knowledge, and proficiency with AI/ML tools. The University of Oulu offers a supportive and enthusiastic team, wellness benefits (ePassi), career development opportunities, and a flexible work-life balance. The Buddy Programme and Spouse Network help newcomers settle in Oulu. The institution holds the HR Excellence in Research label, reflecting its commitment to researchers' working conditions and career development. Finland is recognized for its high quality of life, safety, excellent education system, and competitive economy. Applicants must have a Master's degree in wireless communication, computer science, electrical engineering, cybersecurity, or a related field, completed before starting the position. Essential qualifications include hands-on experience with machine learning workflows and programming, theoretical knowledge of AI/ML security, strong analytical and mathematical skills, familiarity with statistics and optimization theories, and knowledge of wireless communication systems (such as 3GPP, 5G NR, Open RAN, AI-RAN). Fluency in English is required, and Finnish language skills are appreciated. Experience in national or European research projects is beneficial. Candidates must meet the requirements of the University of Oulu Graduate School (UniOGS). The positions are fixed-term for three years, with a starting gross salary of approximately 2700-2800 € per month (before taxes), based on Finnish university demand level chart (levels 2-4) plus up to 50% personal performance component. Additional benefits include wellness support, a trial period of six months, and access to staff development programmes. To apply, submit your application online by 10 May 2026, including a cover letter, CV (following Finnish Advisory Board on Research Integrity guidelines), and an initial research plan (max. 2 pages). Shortlisted candidates will be asked to provide referee contact information and degree certificates, and will be invited to an interview. The University of Oulu welcomes applicants from diverse backgrounds and ensures equal opportunities for all. For further information, contact Professor Kimmo Halunen ([email protected]) or Associate Professor Pawani Porambage ([email protected]).

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