Vacant job

Welcome to Linnaeus University! Here you will meet 2,200 employees and 40,000 students who together follow the vision of putting knowledge into motion for sustainable societal development. At our university, research and education are conducted with a view towards the future. Our proximity to the business community, both locally and globally, gives us long reach and the opportunity for change that creates an impact. All that is needed is a place where ideas have room to meet and grow. That is what we have created – and you are invited. Change starts here!

The Faculty of Health and Life Sciences is one of five faculties at Linnaeus University. We conduct education, research, and collaboration within health, care, and natural sciences.

The Department of Medicine and Optometry conducts research and teaching within eHealth, medicine, and optometry with a total of 24 employees. At the department, you will find the eHealth Institute (https://lnu.se/forskning/forskargrupper/ehalsoinstitutet/), a dynamic, interdisciplinary knowledge and learning environment that coordinates the subject of eHealth within the university and drives research and evaluation projects focusing on user and citizen benefit. The eHealth Institute collaborates with many external actors within regions, municipalities, research institutes, universities, and companies, as well as internally with Linnaeus University's top research environment DISA (https://lnu.se/forskning/forskargrupper/linnaeus-university-centre-for-data-intensive-sciences-and-applications/) and the knowledge environments Sustainable Health (https://lnu.se/mot-linneuniversitetet/kunskapsmiljoer/hallbar-halsa/) and Digital Transformations (https://lnu.se/mot-linneuniversitetet/kunskapsmiljoer/digitala-transformationer/). Additionally, the eHealth Institute offers master's programs, standalone courses, and commissioned training within eHealth.

Subject area for the position: Health Sciences with a specialization in eHealth

Location: Kalmar

Employment scope and period: The employment is fixed-term according to University Act Chapter 5, Section 7. The scope is full-time.

Start date: According to agreement

Job Description

We are looking for an ambitious and motivated doctoral student with a strong interest in eHealth and digital health services, AI including large language models, as well as a willingness to work interdisciplinarily.

The doctoral position is part of the eHealth Collaboration Project (https://lnu.se/mot-linneuniversitetet/samarbeta-med-oss/Projekt-och-natverk/samverkan-e-halsa/), a long-term collaboration between Linnaeus University and Region Kalmar County to strengthen the development of eHealth both regionally, nationally, and internationally. The purpose of this collaboration is to establish a strong research and education environment within eHealth that can create continued relevant development of eHealth within healthcare.

The doctoral student will be part of building the research environment within this collaboration project and will participate in the School of Health Informatics and eHealth (https://lnu.se/forskning/forskarutbildning/forskarskolan-i-halsoinformatik-och-ehalsa/).

The doctoral student is expected to:

• Follow their individual study plan, participate in mandatory courses and seminars, and continuously report their progress to supervisors and the department.
• Plan, conduct, and publish scientific studies within the project's framework, in close collaboration with supervisors and the research group.
• Actively participate in the interdisciplinary research environment at the eHealth Institute and within the eHealth collaboration.
• Apply and further develop competence in quantitative and qualitative analysis methods and, where relevant, AI-based methods.
• Conduct data collection, which may include qualitative interviews with patients or healthcare staff.
• Present research at national and international conferences.
• Actively participate in the School of eHealth, which serves as a central academic and social community for doctoral students in the field.
• Contribute to teaching, supervision, and administration up to 20% of working time, in accordance with the Higher Education Ordinance.

The Higher Education Ordinance states that those employed as doctoral students should primarily devote themselves to their own education. However, an employee may, to a limited extent, work with education, research, and administration. Such work may, before the doctoral degree has been conferred, not exceed 20% of full working time. The doctoral position can be combined with other employment (clinical or in industry).

Qualifications

To be admitted to doctoral education, the applicant must, according to the Higher Education Ordinance (Chapter 7, Section 35):

• Have basic eligibility and any special eligibility prescribed by the university, and
• Be assessed to have such other ability as is required to benefit from the education.

Basic eligibility is held by those who:

• Have completed an advanced level degree.
• Have completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at an advanced level, or
• Have acquired substantially equivalent knowledge in some other way within or outside the country.

Special eligibility is held by those who have:

• Good knowledge of Swedish, or the ability to acquire Swedish within a year, since qualitative interviews with Swedish patients and healthcare staff may be included in the tasks.
• Good knowledge of English in speech and writing.

Desirable/meritorious is if the applicant has:

• Previously documented experience of research within eHealth, digital health, or a related area.
• Experience of or documented interest in machine learning, AI methods, or large language models (LLM) in clinical or health-related contexts.
• A background in health sciences, medicine, psychology, informatics, biomedical engineering, computer science, or a similar discipline relevant for interdisciplinary eHealth research.
• Clinical experience from healthcare.
• Scientific publications.

Assessment Criteria

The assessment criteria concern the examination of the applicant's prerequisites for completing the doctoral education. During the assessment, emphasis will be placed on the candidate's motivation, potential to complete the doctoral education, and personal suitability for the position. The candidate must be structured and able to work effectively both individually and in teams.

The application should include:

• Your curriculum vitae.
• Degree certificates, study certificates, and other relevant certificates.
• Your master's thesis.
• Your complete publication list.
• A cover letter (max 2 pages) in which you describe (1) any previous research experience; (2) why you are interested in doctoral education; and (3) a brief description of a research idea within eHealth.
• Contact information for at least two reference persons.

Contact Persons

Research Leader: Fotios Papadopoulos, [email protected]

Head of Department: Pauline Johansson, [email protected]

HR Partner: Stina Andersson, [email protected]