Do you want to contribute to improving human health?

To be a doctoral student means to devote oneself to a research project under supervision of experienced researchers and following an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required.

The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within biomedical science. The department is among the largest of its type in Europe and has especially strong research profiles in psychiatric, cancer, reproductive, pediatric, pharmaco, genetic, and geriatric epidemiology, eating disorders, precision medicine, and biostatistics.

Part of the success of our department is due to our collaborative spirit where one factor is that researchers at the Department share and co-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further information can be found at http://ki.se/en/meb


The research group

This doctoral project brings together an international team of researchers from Karolinska Institutet, Linkoping University (Institute of Analytical Sociology) and other collaborators from the Netherlands (Erasmus MC) and United Kingdom (Imperial Collage). We will collect a novel complete social network data from schools and study how health behaviors (traditional and alternative nicotine product use) spreads in social networks. Our team is truly interdisciplinary combing epidemiology, statistics, and social sciences.

The doctoral student project and the duties of the doctoral student

The increasing use of social media and alternative nicotine products, i.e., e-cigarettes and Swedish snus, poses new threats to stall the progress of tobacco control. Vast research shows how smoking spreads in social networks, but it remains unclear how alternative nicotine products and online interactions affect this spread. The doctoral student will write a comprehensive PhD dissertation on how novel health behaviors spread in social networks in schools and the whole population and analyze the potential impacts of a network-based intervention. The student will use data from our new data collection and Swedish register data. The project will be conducted using social network analysis methods and causal inference methods. The tasks of the PhD student will involve helping with data collection, literature review, study design, data analysis, scientific writing, and presenting results at international conferences.

What do we offer?

Choose to work at KI-Ten reasons why
Career support for doctoral students
International staff

A creative and inspiring environment full of expertise and curiosity. Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. As a doctoral student you are offered an individual research project, a well-educated supervisor, a vast range of elective courses and the opportunity to work in a leading research group. Karolinska Institutet collaborates with prominent universities from all around the world, which ensures opportunities for international exchanges. You will be employed on a doctoral studentship which means that you receive a contractual salary. Employees also have access to our modern gym for free and receive reimbursements for medical care.

Eligibility requirements for doctoral education

In order to participate in the selection for a doctoral position, you must meet the following general (A) and specific (B) eligibility requirements at latest by the application deadline.

It is your responsibility to certify eligibility by following the instructions on the web page Entry requirements (eligibility) for doctoral education.

A) General eligibility requirement

You meet the general eligibility requirement for doctoral/third-cycle/PhD education if you:

  1. have been awarded a second-cycle/advanced/master qualification (i.e. master degree), or
  2. have satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the advanced/second-cycle/master level, or
  3. have acquired substantially equivalent knowledge in some other way in Sweden or abroad.*

Follow the instructions on the web page Entry requirements (eligibility) for doctoral education.

*If you claim equivalent knowledge, follow the instructions on the web page Assessing equivalent knowledge for general eligibility for doctoral education.

 

B) Specific eligibility requirement

You meet the specific eligibility requirement for doctoral/third-cycle/PhD education if you:

- Show proficiency in English equivalent to the course English B/English 6 at Swedish upper secondary school.

Follow the instructions on the web page English language requirements for doctoral education.

Verification of your documents Karolinska Institutet checks the authenticity of your documents. Karolinska Institutet reserves the right to revoke admission if supporting documents are discovered to be fraudulent. Submission of false documents is a violation of Swedish law and is considered grounds for legal action.

(A) and (B) can only be certified by the documentation requirement for doctoral education.

Skills and personal qualities

The ideal candidate should have a background in social epidemiology or sociology. Demonstrated knowledge of advanced statistical methods is essential. Previous experience in social network analysis is highly valued or strong motivation to learn these methods is necessary. Knowledge of R or a similar programming language is necessary. The candidate needs good skills in English, both written and spoken. Swedish language skills would be desirable but not necessary.

We attach great importance to personal qualities in this recruitment. We hope to find a doctoral student who will be self-motivated and able to interact and contribute to a team. We expect the student to take an active role in the project and be willing and able to work independently.

Terms and conditions

The doctoral student will be employed on a doctoral studentship maximum 4 years full-time.

Application process

Submit your application and supporting documents through the Varbi recruitment system. Use the button in the top right corner and follow the instructions. We prefer that your application is written in English, but you can also apply in Swedish.

Your application must contain the following documents:

- A personal letter and a curriculum vitae
- Degree projects and previous publications, if any
- Any other documentation showing the desirable skills and personal qualities described above
- Documents certifying your general eligibility (see A above)
- Documents certifying your specific eligibility (see B above)

Selection

A selection will be made among eligible applicants on the basis of the ability to benefit from doctoral education. The qualifications of the applicants will be evaluated on an overall basis.

Karolinska Institutet uses the following bases of assessment:

- Documented subject knowledge of relevance to the area of research
- Analytical skill
- Other documented knowledge or experience that may be relevant to doctoral studies in the subject.

All applicants will be informed when the recruitment is completed.

 

Want to make a difference? Join us and contribute to better health for all

Type of employment PhD placement
Contract type Full time
First day of employment According to agreement
Salary Monthly salary
Number of positions 1
Full-time equivalent 100
City Stockholm
County Stockholms län
Country Sweden
Reference number STÖD 2-5256/2023
Contact
  • Márta Radó, marta.rado@ki.se
  • Adina Nisell, HR-partner, adina.nisell@ki.se
Union representative
  • Henry Wölling, SEKO, henry.wolling@ki.se
  • Ann Almqvist, SACO, ann.almqvist@ki.se
  • Niklas Andersson, OFR, niklas.andersson@ki.se
Published 21.Dec.2023
Last application date 17.Jan.2024 11:59 PM CET

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