Postdoctoral position in innovation management and information driven care

at  Hgskolan i Halmstad

HALMSTAD UNIVERSITY

Work at a University where different perspectives meet!
Halmstad University adds value, drives innovation and prepares people and society for the future. Since the beginning in 1983, innovation and collaboration with society have characterized the University’s education and research. The research is internationally reputable and is largely conducted in a multidisciplinary manner within the University’s two focus areas: Health Innovation and Smart Cities and Communities. The University has a wide range of education with many popular study programs. The campus is modern and well-equipped, and is situated close to both public transportation and the city center.
More information about working at Halmstad University

DESCRIPTION

We are searching for a postdoctoral candidate with a strong background in qualitative studies to research the managerial aspects of the cutting-edge AIR (Artificial Intelligence in Radiology) project. This project aims to co-develop an algorithm to assist radiologists in assessing lung disease over time. It involves Brazilian and Swedish actors in the healthcare field and includes members from organizations such as InRad (the Institute of Radiology), CERTI foundation (research institute), Philips Healthcare, Capitainer AB, and Halmstad University. The research will focus on understanding responses to paradoxical tensions across ethical, legal, and technical principles for developing a trustworthy AI solution.
As a postdoctoral fellow, your role will involve designing and conducting research within the AIR project framework. While data scientists develop the algorithm, you interview and observe the interplay between healthcare professionals, engineers and legal advisors in solving emerging tensions. Additionally, you’ll collaborate with colleagues from different faculties at Halmstad University and scholars from the University of São Paulo, expanding your international network.
The postdoctoral fellow will have the exciting opportunity to gather empirical data from leading Brazilian hospitals, MedTech companies, and research institutes involved in the AIR project. This data, collected through interviews, observations, and document analysis, will play a crucial role in exploring the collaborative development of an innovative algorithm.

Your responsibilities will mainly include, but not limited to:

• Carrying out a literature review
• Planning and conducting interviews in Sweden and Brazil
• Engaging in observational fieldwork and collecting secondary data
• Developing original and practical knowledge for trustworthy AI
• Publishing in internationally recognized conferences and journals
• Teaching and supervising students in Engineering and Innovation courses

You will be supervised by Dr. Fábio Gama (Halmstad University) and MD Vinícius Guirado (University of São Paulo).

QUALIFICATIONS

Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position. The certificate, proving the qualification requirement is met, must be received before the employment decision is made. Primarily should those who have graduated no more than three years before the last application date, be considered. Under special circumstances, leave due to illness, parental leave, or similar circumstances, the doctoral degree can have been completed earlier.
Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position. The certificate, proving the qualification requirement is met, must be received before the employment decision is made. Primarily should those who have graduated no more than three years before the last application date, be considered. Under special circumstances, leave due to illness, parental leave, or similar circumstances, the doctoral degree can have been completed earlier.
For appointment as a postdoctoral researcher, the following assessment criteria will be applied:

Requirements:

• PhD in a relevant discipline, such as Information Systems, Healthcare or Innovation Management
• Documented experience in conducting qualitative research in a relevant domain area for the AIR project
• Good communication skills and an excellent command of spoken and written English, as well as Portuguese.

Meritorious:

• Experience in multidisciplinary projects involving healthcare organizations (e.g., firms and hospitals)
• Good communication skills, involving for example to take responsibility for communication within a project, with collaborators and to communicate research results and impact to society.
• Experience in teaching or supervision at undergraduate or advanced level

Emphasis will be placed on personal competency. That involves showing engagement in the research area, the project, and other stakeholders. It is of importance to communicate well with people from different fields and organisations.

• Carrying out a literature review
• Planning and conducting interviews in Sweden and Brazil
• Engaging in observational fieldwork and collecting secondary data
• Developing original and practical knowledge for trustworthy AI
• Publishing in internationally recognized conferences and journals
• Teaching and supervising students in Engineering and Innovation course