Summary:
Blekinge Institute of Technology (BTH) is seeking a motivated PhD student to join the national research project “Human-Centered Intelligent Realities (HINTS)”. This position focuses on developing adaptive and distributed AI models for intelligent environments, aiming to create future immersive, user-aware, and smart interactive digital experiences. The research will involve learning AI models that represent real-world phenomena from various data sources, capturing causal, spatial, temporal, and semantic relationships. The project emphasizes addressing limitations of current methods by exploring multimodal sensor fusion, uncertainty-aware learning, and distributed collaborative intelligence.
PhD Student Position in Computer Science (HINTS) – Theme D, Blekinge Institute of Technology, Sweden
Designation: PhD Student
Research Area:
- Primary: Adaptive and Distributed AI for Intelligent Realities (Research Theme D)
- Broader: Human-Centered Intelligent Realities (HINTS)
Location: Karlskrona, Sweden
Eligibility/Qualification:
- Must be admitted or eligible for postgraduate education.
- Completion of a degree at an advanced level in a technical, mathematical, or scientific field, or equivalent knowledge.
- Master’s degree in Computer Science, AI, ML, Data Science, or an equivalent subject is considered meritorious.
- Proficiency in English (reading, writing, speaking).
- Ability to work independently and in a team.
- Good knowledge in AI, machine learning, data science, and mathematics.
- Good knowledge in one or more of: IoT, data mining, cloud/edge/fog computing.
- Good knowledge in one of the following programming languages: C/C++, Python.
Job Description:
The PhD student will primarily be involved in Research Theme D, focusing on developing AI models that can learn to represent real-world phenomena from diverse observations (video, audio, sensor data). The research aims to capture underlying causal, spatial, temporal, and semantic relationships for context-aware perception, reasoning, and decision-making. Key activities include:
- Developing adaptive and distributed AI models for intelligent environments.
- Exploring multimodal sensor fusion, uncertainty-aware learning, and distributed collaborative intelligence.
- Collaborating with other research themes and industry partners.
- Devoting at least 80% of time to research studies and third-cycle courses.
- Potentially undertaking teaching and other departmental duties (up to 20%).
- Participating in regular business trips for meetings and international conferences.
How to Apply:
Applications must be submitted online through BTH’s recruitment system by clicking the “apply” button. The application should include:
- A personal cover letter.
- A statement of background, knowledge, and experience relevant to the position.
- A CV.
- Certified degree certificates and transcripts.
- Contact information for two references.
- The earliest possible start date.
- An appendix with current publications (if applicable).
- A link to the applicant’s thesis for their latest/highest degree.
Note: Applicants with protected personal data should contact the HR Partner for alternative application instructions.
Last Date for Apply: 2026-08-15
