Research assistant in data science and natural language processing applied to pain research
4 weeks ago
The department of Clinical Medicine prioritizes diversity and a good work environment, as this is a prerequisite for groundbreaking research. In a diverse and international research environment, dedicated employees are looking to generate new knowledge within medical research areas. The Department provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and they make use of the department's modern laboratory-, core- and animal facilities. The Department of Clinical Medicine focuses on innovation, entrepreneurship and collaboration with business and industry, and numerous researchers from the department have established companies to develop new medicinal treatments founded in professional scientific basic research. You can read more about the department here and about the faculty here.
Your job responsibilities
As research assistant, your primary tasks involve conducting research where chronic pain outcomes are predicted from linguistic data. You contribute to the development of protocols, data analyses, drafting of manuscripts and participation in research meetings. In your daily work, you have a close interaction with competent colleagues.
Your main tasks will consist of: Research at the intersection of data science, natural language processing and pain research, from experimental design to data analyses and scientific writing.
You will report to the Head of Department of Clinical Medicine, Jørgen Frøkiær.
Your competences
You have a background within data science or cognitive science and experience with computational modelling and natural language processing. Experience with pain research is preferred but not required.
As a person, you have good interpersonal skills, are inclusive and team-oriented and able to contribute to a good work environment.
We expect you to be fluent in oral and written English.
In order to be assessed as qualified for the position, you must meet these academic criteria.
Questions about the position
If you have any questions about the position, please contact Head of Department Jørgen Frøkiær tel.:
If you have any questions about the project, please contact the Principal Investigator Francesca Fardo at
Your place of work will be the Department of Clinical Medicine, Centre of Functionally Integrative Neuroscience, Universitetsbyen 3, Building 1710, DK-8000 Aarhus C, Denmark.
We expect to conduct interviews in weeks 20-22.
Terms of employment
Appointment as a research assistant requires academic qualifications at master's degree level.Further information on the appointment procedure can be found in the Ministerial Order on the Appointment of Academic Staff at Universities.The appointment is in accordance with the Danish Confederation of Professional Associations (Akademikerne).Remuneration is in accordance with the above, and the Salary agreement catalogue for staff at Health.Further information on qualification requirements and job description can be found in the Ministerial Order on Job Structure for Academic Staff at Universities.
Application
Your application must include the following:Motivated applicationCurriculum VitaeDiplomaTemplate for applicant - other academic positionsA list of publications can be uploaded if relevant for the positionA teaching portfolio can be uploaded if relevant for the position. We refer to Guideline on the use of teaching portfoliosReferences/recommendations can be uploaded separately in the recruitment systemWe refer to the faculty's Guidelines for applicants.
Aarhus University's ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.
The application must be submitted via Aarhus University's recruitment system, which can be accessed under the job advertisement on Aarhus University's website.
Aarhus University
Aarhus University is an academically diverse and research-intensive university with a strong commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment to its 38,000 students (FTEs) and 8,300 employees, and has an annual revenues of EUR 935 million. Learn more at
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