PhD student position in computer science (HINTS - Theme A)

Blekinge Institute of Technology is a place of curiosity and ingenuity with a campus in the middle of the Blekinge archipelago. Here we offer education from undergraduate to doctoral level and conduct world-class applied research. We change and make a difference. Do you want to become one of us?

The Department of Computer Science (DIDA) is one of three departments at the Faculty of Computing. The department is BTH’s largest department at BTH with 70 people. At the department, research is conducted in two major areas: computer science and engineering and visual and interactive computer science. There are a number of different research projects in both areas.

The Ph.D position is part of a national research project, "Human-Centered Intelligent Realities (HINTS)", carried out with six industrial partners and is partly externally funded by the KK Foundation. In co-production with our corporate partners and the community, we develop concepts, principles, methods, algorithms, and tools for human-centered intelligent realities (which includes VR, AR or MR, commonly called extended reality or XR), to lead the way for future immersive, user-aware, and intelligent interactive digital environments. The project is divided into five separate Research Themes (A-E), which collaborate within the framework of sub-projects. The doctoral position in this call will primarily be involved in Research Theme A.

Research themes in HINTS:

• Research Theme A: Novel Experience Assessment Methodologies for Intelligent Realities
• Research Theme B: Novel Environment and Interaction Techniques for Intelligent Realities
• Research Theme C: Visual Analytics for Intelligent Realities
• Research Theme D: Adaptive and Distributed AI for Intelligent Realities
• Research Theme E: Networking for Intelligent Realities

The research in Theme A provides opportunities to address issues on measuring, assessing, and modelling of Quality of User experience (QUX). This includes personalizing QUX in novel intelligent realities, andrevealing humans' behaviour and intent in these environments. The main focus of this PhD position will be on exploring novel experience assessment methods within Theme A, Additionally, the work may expand to developartificial intelligence (AI) solutions for behaviour modelling, assessment,and interaction with novel human-centredIR applications. The doctoral student is expected to collaborate with other themes and our industry partners within the employment framework. 

The main duties of Ph.D. students are to devote themselves to their research studies which include participating in research projects and third-cycle courses (no less than 80%). The work duties may also include teaching and other departmental duties (no more than 20%). The project involves regular business trips to meetings with our project partners and to international conferences. 

To be employed as a Ph.D. student, it is required that the applicant is or will be admitted to postgraduate education. Eligible for admission to postgraduate education is a person who has completed a degree at an advanced level in a technical, mathematical, or scientific field or who has otherwise acquired knowledge to be able to benefit from postgraduate education in the subject.

Eligibility requirements and assessment criteria are described in detail in the “Guidelines for employment and promotion of teachers and appointment to docent,” available at https://www.bth.se/eng/about-bth/vacancies-at-bth/#section-instructions-to-applicants .

In addition to the requirements described in the work description, eligibility requirements, and assessment criteria for the position, the
following degrees, competencies, and experiences are considered meritorious:

• Hold a Master of engineering or Master's degree in computer science, computer engineering, human-computer interaction, or equivalent by 2025-07. 
• Demonstrate proficiency in English (reading, writing, speaking). 
• Show the ability to work independently as well as in a team. 
• Good knowledge in at least two of the following areas: extended reality, perception, psychophysical and psychophysiological methods, experimental design, and human-computer interaction.  
• Good knowledge in one or more of the following programming languages/environments: Unity/Unreal, C/C++, C#, Python 
• Basic understanding of the artificial intelligence and machine learning fields. 

Place of employment: Karlskrona.

Employment level: 100%.

Commencement:Preferred start date 2025-09-01 (To be agreed).

Duration: The duration is up to 4 years of full-time research. Initially, the employment covers one year, after which it is renewed for a maximum of two years at a time, provided that the individual study plan is followed. The position may comprise up to 20% of other duties (e.g., teaching), in which case the duration can be extended to a maximum of 5 years.

Application deadline: 2025-05-18.

Your application should contain the following:

• A personal coverletter.
• A statement of your background, knowledge and experience in the area(s) relevant for the position.
• A CV.
• Certified copies of grades and diplomas.
• Contact information for two references.
• The earliest date you can start to work.
• An appendix with current publications (if applicable).
• A link to your thesis (latest/highest degree).

You apply online through our recruitment system by clicking on the “apply” button below.

If you have protected personal data, you should not register your application in our recruitment system. Instead, contact the HR specialist listed as the contact person in the advertisement for further instructions.

Instructions to applicants can be found at https://www.bth.se/eng/about-bth/vacancies-at-bth. It is the responsibility of the applicant to ensure that the application is complete in accordance with the advertisement and instructions.

In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence.

Blekinge Institute of Technology, BTH, embraces diversity and welcomes applicants with varying backgrounds and experiences.
We work actively to take advantage of the qualities that diversity and an even gender distribution contribute to our operations.

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Contact person

URL to this pagehttps://www.bth.se/eng/about-bth/vacancies/?rmpage=job&rmjob=1121&rmlang=UK