Research assistant in data science and natural language processing applied to pain research - Aarhus, Danmark - Aarhus University

Beskrivelse

The Department of Clinical Medicine at Faculty of Health at Aarhus University invites applications for a position as a research assistant in data science, natural language processing and pain research as per 1 August 2024 or as soon as possible thereafter. The position is a fixed-term full-time position for max 19 months.

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 and about the faculty .

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 .

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 .

The appointment is in accordance with the (Akademikerne).

Remuneration is in accordance with the above, and the .

Further information on qualification requirements and job description can be found in the .

Application

Your application must include the following:

Motivated application

Curriculum Vitae

Diploma

A list of publications can be uploaded if relevant for the position

A teaching portfolio can be uploaded if relevant for the position. We refer to

References/recommendations can be uploaded separately in the recruitment system

We refer to the faculty's .

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.