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Linköping University, Chalmers University of Technology, Lund University

PhD and Postdoc Positions in AI, Machine Learning, Sensor Fusion, Cybersecurity, and Deep Learning (Europe, 2026) Lund University, University of Oslo, University of Paris-Saclay, FAU Erlangen–Nürnberg, Ethiack in Sweden

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Most positions are fully funded, covering tuition and providing a stipend or salary. For example, the Lund University position is fully funded by ELLIIT, and the University of Oslo and University of Paris-Saclay positions are also fully funded. Ethiack internships are paid. Specific stipend amounts are not mentioned.

Deadline

Mar 6, 2026

Country flag

Country

Sweden

University

Linköping University, Chalmers University of Technology, Lund University

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Keywords

Computer Science
Information Technology
Medical Imaging
Deep Learning
Artificial Intelligence
Cybersecurity
Natural Language Processing
Cancer Research
Sensor Fusion
Machine learning

About this position

Multiple fully funded PhD and postdoctoral positions are open across leading European universities in the fields of Artificial Intelligence, Machine Learning, Sensor Fusion, Cybersecurity, Deep Learning, and related areas for 2026. These opportunities span institutions such as Lund University (Sweden), University of Oslo (Norway), University of Paris-Saclay (France), FAU Erlangen–Nürnberg (Germany), and Ethiack (Portugal).

Key research areas: Sensor Fusion for Multi-task Learning, Multilingual Large Language Model (LLM) development, AI for Drone Security, Deep Learning for Medical Imaging and Cancer Research, Cybersecurity, and Intelligent Language Systems. Projects are often interdisciplinary, combining computer science, information technology, and domain-specific applications such as medical imaging and drone security.

Funding: Most positions are fully funded, with tuition and living stipends provided. For example, the Lund University PhD is funded by ELLIIT, and the University of Oslo and University of Paris-Saclay positions are also fully funded. Ethiack offers paid research internships for PhD-level candidates in Portugal.

Eligibility: Applicants should have or expect to obtain a relevant master's degree in computer science, information technology, or a closely related field. Strong background in AI, ML, or data science is required. Some positions require experience in sensor fusion, cybersecurity, NLP, or medical imaging. Proficiency in English and strong programming skills are typically expected. Application materials may include a CV, statement of purpose, and transcripts.

Application deadlines: The earliest deadline is March 1, 2026 (University of Oslo), and the latest is March 6, 2026 (Lund University). Candidates should check each university's official job portal for detailed instructions and deadlines.

How to apply: Visit the provided application links for each position and submit the required documents. For some positions, email your application to the listed contacts. For example, apply to Lund University via their job portal, and to University of Paris-Saclay by emailing the supervisors directly.

Contacts: Supervisors include Dr. Eren Erdal Aksoy (Lund University), Anis Yazid and Andreas Kleppe (University of Oslo), and Amylia Aitsaadi and Amylia Belhabib (University of Paris-Saclay). Contact emails are provided for direct inquiries.

These positions offer an excellent opportunity to join cutting-edge research groups in Europe, working on impactful projects in AI, ML, and related fields. Interested candidates are encouraged to review the detailed calls and apply before the respective deadlines.

Funding details

Most positions are fully funded, covering tuition and providing a stipend or salary. For example, the Lund University position is fully funded by ELLIIT, and the University of Oslo and University of Paris-Saclay positions are also fully funded. Ethiack internships are paid. Specific stipend amounts are not mentioned.

What's required

Applicants should hold or expect to obtain a relevant master's degree (or equivalent) in computer science, information technology, or a closely related field. Strong background in artificial intelligence, machine learning, or data science is required. Additional requirements may include experience in sensor fusion, cybersecurity, natural language processing, or medical imaging, depending on the specific position. Proficiency in English and strong programming skills are typically expected. Some positions may require specific application materials such as a CV, statement of purpose, and transcripts.

How to apply

Visit the provided application links for each position and submit the required documents, such as CV, statement of purpose, and transcripts. For some positions, email your application to the listed contacts. Check each university's official job portal for detailed instructions and deadlines.

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