Research Engineer in Media Technology
Welcome to Linnéuniversitetet! Here you will meet 2,200 employees and 40,000 students who together follow the vision of putting knowledge in motion for sustainable societal development. At our university, research and education are conducted with a gaze toward the future. Our proximity to industry, both locally and globally, gives us long reach and the opportunity for change that makes an impact. All that is needed is a place where ideas are given space to meet and grow. That is what we have created – and you are invited. Change starts here!
The Faculty of Engineering is one of Linnéuniversitetet's five faculties. We bring together the university's education and research within technical subjects. The operations are organized into eight departments and one faculty office. Here you will also find Linnaeus University Centre DISA and two Knowledge Environments Linné: Green Sustainable Development and Digital Transformations. Several of the faculty's research groups collaborate within the strength area Skogens värden.
The Department of Computer Science and Media Technology is responsible for a large number of programs at undergraduate and advanced levels within computer science, software development, and media technology. The department has degree programs at undergraduate and advanced levels as well as engineering programs. Currently, more than 60 employees work at the department. The department has a strong connection to other departments at Linnéuniversitetet as well as to industrial and public partners.
Job Description:
This position combines applied AI research with the development of intelligent web-based systems within the areas of education, culture, humanities, and healthcare. You will design, implement, and evaluate web-based platforms and AI-based applications, conduct user studies, contribute to scientific publications, and collaborate with researchers, practitioners, and end-users.
The position is linked to several external and internal research and development projects, including:
Generative AI and Retrieval-Augmented Generation (RAG) AI-based tutoring and writing support systems within the framework of the project https://www.lnu.se/en/research/research-projects/project-awaits--academic-writing-ai-tutoring-system/ as well as the knowledge environment Digitala transformationer AI applications within cultural heritage and community engagement in the project INKUIS, funded by Kamprad Family Foundation AI-supported analysis within health informatics within the framework of the project Health Data of Sweden funded by the European Commission Research on AI competence and pedagogical innovation within the EU project Teachers' AI Literacy Academy Predictive analysis and visualization dashboards within the Swedish Research Council-funded projects UPGRADE and GRAITE
Prototyping, iterative development, and implementation in authentic environments are central parts of the position.
Some of the duties in the position include:
Design, develop, and implement AI applications, including NLP-pipelines, chatbots, dashboards, and RAG-based systems. Conduct user studies, field evaluations, and data analysis. Develop resources for AI competence as well as participate in workshops and dissemination activities. Collaborate in interdisciplinary teams and with external partners as well as ensure compliance with research ethics, GDPR, and FAIR principles for data management. Contribute to project deliverables and scientific publications.
Qualifications:
Requirements:
An advanced academic degree in computer science, data science, information technology, or a related AI-oriented field. Very good programming skills in web development and Python, as well as experience in the development of AI/ML systems. Expertise in NLP, generative AI, large language models, and RAG architectures. Experience working in research environments as well as leading junior software developers. Very good proficiency in English, both spoken and written. Experience supporting researchers in scientific production and at conference presentations.
Meritorious:
Experience with social robots, interactive systems, or embedded systems. Knowledge of GDPR, research ethics, and data management. Experience in educational technology, digital humanities, cultural heritage, and/or health informatics.
Personal qualities:
We are looking for a person who is curious, collaborative, and committed to responsible AI development. You thrive on translating research into practical application, working in interdisciplinary environments, and communicating knowledge to both academic and non-academic audiences.
Great importance will be placed on personal suitability.
Terms of employment:
Employment and scope: 100%, permanent employment
Commencement: Commencement by agreement. In the normal case, a probationary period is applied.
Permanent place of work: The place of work is Växjö; travel between locations occurs.
Welcome with your application no later than October 9, 2026.
Contact persons:
Subject representative: prof. Marcelo Milrad, +46 470 70 8725, mailto:marcelo.milrad@lnu.se
Head of Department: prof. Arianit Kurti, +46 470 70 8375, mailto:arianit.kurti@lnu.se
HR partner: Erika Hjelmer, +46 470 70 8206, mailto:erika.hjelmer@lnu.se
Union representatives can be reached via the university switchboard 0772-28 80 00.
Do you want to know more about the Department of Computer Science and Media Technology? Read more at Lnu.se
https://www.lnu.se/medarbetare/organisation/ftk/organisation-och-styrning-ny/institutioner-ny/
Linnéuniversitetet has the ambition to utilize the qualities that an even gender distribution and diversity bring to the organization. Register your application via the "Apply" button at the bottom of the advertisement. The merits you claim must be supported by certificates, and they must be attached digitally to your application. The application and other documents must be marked with the employment's diary number. All documents claimed must have arrived at the university no later than 23:59 on the last day of application. Please note that identification must be presented at the time of the interview. We decline telephone calls from sellers of job advertisements.