Research Assistant in Interdisciplinary Metrics at Section for Health Data Science and AI
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Research Assistant in Interdisciplinary Metrics at Section for Health Data Science and AI
Department of Public Health, Faculty of Health and Medical Sciences
University of Copenhagen
We are looking for a Research Assistant to contribute to the project “New Metrics for Interdisciplinary Science”, which develops novel computational and conceptual frameworks to quantify and evaluate interdisciplinarity in scientific research.
The Research Assistant will perform tasks including:
The Bhatt–Duchene Group is an interdisciplinary research team working at the intersection of computational science, global health, epidemiology and large-scale data analysis. We are part of the Section for Health Data Science and AI at the University of Copenhagen.
Our research integrates machine learning, epidemiology, quantitative social science, and computational modelling.
Your job
Required:
The place of employment is at the Health Data Science and AI, Department of Public Health, University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment. Our research facilities include modern laboratories and computational facilities
Terms of employment
The average weekly working hours are 37 hours per week.
The position is a fixed-term position limited to a period of 6 months. The starting date is January 23rd 2026
Salary, pension and other conditions of employment are set in accordance with the Agreement between the Ministry of Taxation and AC (Danish Confederation of Professional Associations) or other relevant organisation. Currently, the monthly salary starts at 35,000 DKK/approx. 4,700 EUR (October 2021 level). Depending on qualifications, a supplement may be negotiated. The employer will pay an additional 18,07 % to your pension fund.
Foreign and Danish applicants may be eligible for tax reductions, if they hold a PhD degree and have not lived in Denmark the last 10 years.
The position is covered by the Job Structure for Academic Staff at Universities 2025.
Questions
For further information please contact samir.bhatt@sund.ku.dk
Foreign applicants may find this link useful: www.ism.ku.dk (International Staff Mobility).
Application procedure
Your online application must be submitted in English by clicking ‘Apply now’ below. Furthermore, your application must include the following documents/attachments – all in PDF format:
We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.
The further process
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor. Once the assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself.
You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/
The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities.
Interviews are expected to be held in week 51
The University of Copenhagen wish to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background.
University of Copenhagen
We are looking for a Research Assistant to contribute to the project “New Metrics for Interdisciplinary Science”, which develops novel computational and conceptual frameworks to quantify and evaluate interdisciplinarity in scientific research.
The Research Assistant will perform tasks including:
- Conducting a comprehensive literature review on existing methodologies and metrics used to evaluate interdisciplinary research.
- Preparing and submitting a scholarly publication outlining the current landscape of interdisciplinary science metrics.
- Critically examining and synthesizing the diverse definitions of interdisciplinary science with the aim of producing a reconciled conceptual framework.
The Bhatt–Duchene Group is an interdisciplinary research team working at the intersection of computational science, global health, epidemiology and large-scale data analysis. We are part of the Section for Health Data Science and AI at the University of Copenhagen.
Our research integrates machine learning, epidemiology, quantitative social science, and computational modelling.
Your job
- Conducting a comprehensive literature review on existing methodologies and metrics used to evaluate interdisciplinary research.
- Preparing and submitting a scholarly publication outlining the current landscape of interdisciplinary science metrics.
- Critically examining and synthesizing the diverse definitions of interdisciplinary science with the aim of producing a reconciled conceptual framework.
Required:
- Master’s degree in a relevant field: economics, statistics, data science, public health, social data science, computer science, or related discipline.
- Previous experience in “the science of science” essential
- Prior experience with research
- Strong analytical and quantitative skills.
- Experience with reading, synthesizing and critically assessing academic literature.
- Strong academic writing skills in English.
- Ability to work independently and collaboratively.
- Concrete experience with quantitative methods, econometrics, statistics, machine learning, and data science methods.
- Prior experience with science of science research and bibliometric data sets and computational text and data analysis.
- Experience with bibliometric datasets or text/data analysis.
The place of employment is at the Health Data Science and AI, Department of Public Health, University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment. Our research facilities include modern laboratories and computational facilities
Terms of employment
The average weekly working hours are 37 hours per week.
The position is a fixed-term position limited to a period of 6 months. The starting date is January 23rd 2026
Salary, pension and other conditions of employment are set in accordance with the Agreement between the Ministry of Taxation and AC (Danish Confederation of Professional Associations) or other relevant organisation. Currently, the monthly salary starts at 35,000 DKK/approx. 4,700 EUR (October 2021 level). Depending on qualifications, a supplement may be negotiated. The employer will pay an additional 18,07 % to your pension fund.
Foreign and Danish applicants may be eligible for tax reductions, if they hold a PhD degree and have not lived in Denmark the last 10 years.
The position is covered by the Job Structure for Academic Staff at Universities 2025.
Questions
For further information please contact samir.bhatt@sund.ku.dk
Foreign applicants may find this link useful: www.ism.ku.dk (International Staff Mobility).
Application procedure
Your online application must be submitted in English by clicking ‘Apply now’ below. Furthermore, your application must include the following documents/attachments – all in PDF format:
- Motivated letter of application (max. one page).
- CV incl. education, work/research experience, language skills and other skills relevant for the position.
- A certified/signed copy of a) PhD certificate and b) Master of Science certificate. If the PhD is not completed, a written statement from the supervisor will do.
- List of publications.
We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.
The further process
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor. Once the assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself.
You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/
The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities.
Interviews are expected to be held in week 51
The University of Copenhagen wish to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background.