Karolinska Institutet, Department of Medicine, Solna, Clinical Epidemiology division

The Department of Medicine, Solna, is one of the largest departments at Karolinska Institutet. The department consists of several divisions that are separated into different research groups. The core activities of the department are research, doctoral education and undergraduate education for medical and biomedical students. The research has three main profiles: allergy, cardiovascular medicine and inflammatory diseases.

A doctoral student is admitted to third-cycle/doctoral education. A doctoral education consists of supervised research, combined with courses and other educational activities. An individual study plan is established for each doctoral student. For a doctoral degree, the equivalent of four years of full-time doctoral education is required.

Research group
The doctoral student will be a member of the Chronic Inflammatory Disease Epidemiology group at the Clinical Epidemiology Division. The group is approximately 25 people (doctoral students, postdocs, senior researchers, biostatisticians) conducting epidemiological research using Swedish registers and clinical data. The student will work with Assistant Professor Elizabeth Arkema and her international team studying the causes and consequences of sarcoidosis.

The doctoral student project and the duties of the doctoral student
Applicants are invited to apply for a PhD research training position to work on the design and analysis of epidemiological studies using Swedish cohort and register-based data. The applicant will use epidemiological and biostatical methods to investigate the relationship between lifestyle factors, inflammation and risk of sarcoidosis. The project will apply advanced statistical methods to biomarker, genetics and questionnaire data using a causal inference framework. The ideal candidate will have a strong interest in epidemiology and biostatistics and be motivated to learn new things. During the PhD, the student will conduct data management, analysis, and prepare manuscripts and presentations to communicate results. The project requires active collaboration between clinicians, biostatisticians, immunologists and epidemiologists.

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.

Skills and personal qualities

  • Experience using statistical software for data analysis, ideally using R, SAS, or Stata
  • Experience using statistical programming to develop analysis datasets from diverse sources, such as relational databases and clinical datasets
  • Experience applying statistical methods to answer scientific/clinical questions
  • Previous scientific publications or presentations
  • Detail-oriented, professional and well-organized
  • Interest in and understanding of the process for scientific discovery
  • Master’s degree in epidemiology or biostatistics
  • Fluent in written and spoken English

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.

Your application should contain the following documents:

  • A personal letter and a curriculum vitae (Swedish or English)
  • Degree projects and previous publications, if any (Swedish or English)
  • Any other documentation showing the desirable skills and personal qualities described above (Swedish or English)
  • 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.

KI 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.

Type of employment Doktorandplats
Contract type Full time
Reference number 2-4831/2019
Contact
  • Elizabeth Arkema, Assistant Professor, +46 8 517 791 48
Union representative
  • Biborka Bereczky Veress, SACO, +46 70 173 85 75
  • Niklas Andersson, OFR, niklas.andersson@ki.se
Published 26.Sep.2019
Last application date 16.Oct.2019 11:59 PM CET

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