(211-0084/19-2K) Professor in Health Informatics (re-advertisement)
Professor of Health Informatics (re-advertisement)
Department of Computer Science
Faculty of Science
University of Copenhagen
The Department of Computer Science at the University of Copenhagen (DIKU) is seeking candidates for a professorship in Health Informatics. The new professor is expected to make a significant contribution to leadership in the Health Informatics discipline within the Department of Computer Science. The professor must ensure that health informatics research, teaching, and outreach activities are thriving, and act as a mentor to young researchers. The professor will be expected to secure competitive external funding and build an internationally recognized research group.
Outstanding applicants in all areas of health informatics will be considered, but research areas of special interest include:
- Patient-centered e-health
- Clinical decision support
- Hospital and clinical information systems
- IT-infrastructures for health care
- Interoperability, standards and terminologies
- Analysis, design and implementation processes
- mHealth and consumer health informatics
- Electronic Health Records and Patient Health Records
We are looking for an experienced researcher with an innovative mindset and intellectual curiosity to strengthen and complement the research profile of the Health Informatics research group (cf. https://di.ku.dk/english/research/hcc/health-informatics/) either as part of the Human-Centred Computing Section (HCC) or the Section on Software, People, Data & Society Section (SDPS). The HCC section's research is concerned with the theory and practice of how people engage with computing and spans research within CSCW, human-computer interaction (HCI) and information systems. The focus of the SDPS Section is research in technologies and methods for development of software systems which are suited for the people developing and using the software systems thereby creating value for society – often in an interdisciplinary setting. Collaboration with the remaining sections at DIKU (Image, Machine Learning, Programming Language and Theory of Computing, and Algorithms and Complexity) as well as the remainder of University of Copenhagen including the Faculty of Health is an obvious opportunity.
The department values interdisciplinary research and teaching and is actively involved in several cross-faculty research projects and educational programmes. Thus, the successful candidate must be capable of and interested in facilitating cross-disciplinary interactions both within the Computer Science Department and across the University. The candidate is expected to engage in interdisciplinary teaching, including courses for students with a non-technical background, e.g., the humanities or health sciences.
Assessment of applicants will primarily consider their level of documented, original scientific production at an international level, including contributions to developments in their field, as well as their documented teaching qualifications. Managerial and out-reach qualifications of applicants including ability to attract external funding will also be considered.
- A research doctorate or equivalent in Computer Science, Health Informatics or other relevant field.
- A demonstrated relevant world-class track record of high quality research and scholarship as evidenced by publications in journals and conferences of highest international esteem. Outstanding applicants in all areas of health informatics will be considered. Experience in interdisciplinary research will be an advantage.
- A track record of leadership, including leadership of a research group, effective management of academic staff, organization of workshops and conferences and involvement in outreach activities.
- A track record in attraction of research funding from competitive grant agencies and other sources including industry.
- Demonstrated ability to develop strong links with industry, government and other external partners.
- Drive, energy and a vision for building and leading a world-class research group in Health Informatics.
- Demonstrated capacity to teach effectively across a range of subjects, including the capacity to supervise undergraduate and graduate students; and develop curriculum and learning resources. Experience in interdisciplinary teaching will be an advantage. Applicants are required to have university level teaching experience, documented teaching competencies and must be able to explain and reflect upon own teaching practice and portfolio. Formal pedagogical training or supervision equivalent to the University of Copenhagen teacher training programme for assistant professors is required.
- Good communication and interpersonal skills with the ability to establish and maintain effective working relationships with other researchers, students and technical-administrative staff.
- Relevant industry experience will be an advantage.
- Build and sustain strong research activities in Health Informatics, with a focus on interdisciplinary collaboration where appropriate.
- Obtain significant research funding from sources outside the University.
- Publish in top-tiered refereed journals, books or monographs and refereed conference proceedings.
- Supervise PhD students.
- Coordinate and teach undergraduate and postgraduate courses as required by the Head of Department.
- Develop courses, programmes and learning resources in collaboration with other teachers and students.
- Supervise master’s students.
Leadership and service
- Provide leadership in the discipline area of Health Informatics and be instrumental in building the Health Informatics group at DIKU
- Encourage and assist PhD students and young researchers to publish in top-tiered refereed journals, books and refereed conference proceedings.
- Foster excellence in research and teaching.
- Undertake professional activities including membership of assessment and other committees, membership of editorial boards, organization of workshops and conferences.
- Develop collaborative relationships with industry and government.
- Engage in dissemination of research results to industry and government and to the wider public.
Further information on the Department is linked at http://www.science.ku.dk/english/about-the-faculty/organisation/. Inquiries about the position can be made to Professor Jørgen Bansler (firstname.lastname@example.org; +45 23 81 13 32) and Head of Department, Professor Mads Nielsen (email@example.com; cell phone +45 24 60 05 99).
The position is open from 1 March 2020 or as soon as possible thereafter.
The University of Copenhagen is strongly committed to increasing the diversity of the workforce and the representation of women in areas where they have been traditionally under-represented and thus welcomes applications from all qualified candidates regardless of gender or personal background.
Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff.
Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.
Commencing salary is currently DKK 621.105 including annual supplement (+ pension DKK 106.208). Negotiation for salary supplement is possible.
The application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.
- Curriculum vitae including information about external funding
- Diplomas (Master and PhD degree or equivalent)
- Research plan – description of current and future research plans
- Description and documentation of teaching experience and qualifications according to university guidelines
- Complete publication list
- Separate reprints of 5 particularly relevant papers
The deadline for applications is 29 September 2019, 23:59 GMT +2. After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.
You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/.
Interviews/trial lectures will be held on 27 January 2020
Please refer to the following no. in future communication in this case: 211-0084/19-2K
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