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PhD position – Multi-disciplinary application of data science approaches to investigate autoimmune thyroid disease in precision medicine

Københavns Universitet (KU)

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The Center for Health Data Science at the Faculty of Health and Medical Sciences, University of Copenhagen, is offering a combined Research Assistant-PhD scholarship (five months plus three years, respectively) in multi-disciplinary application of data science approaches to investigate autoimmune thyroid disease (AITD) and co-occurring conditions. Starting date is expected to be August 1, 2021.

Center for Health Science Data
The Center for Health Data Science (HeaDS) is a newly formed center at the Faculty of Health and Medical Sciences, which is a hub for data science research at the Faculty and offers support to other research groups. Around 20 top researchers/research groups are members of the Center and we aim to establish more groups within the Center and create a world-class research environment for health data science with close links to the many experimental and clinical groups at the Faculty. HeaDS is located at the Panum Institute. The project will be in the group of Assistant Professor Tugce Karaderi.

Job/Study Description
The project will make use of state-of-the art data science approaches to study the (genomic) epidemiology and pathophysiology of AITD, which is one of the most common endocrine conditions worldwide. Having AITD increases the risk for adverse cardiovascular, metabolic, psychological, reproductive conditions as well as thyroid cancer and other immune-mediated diseases, while affecting the quality of life of the patients. We will use a multi-disciplinary and integrative approach combining various data types. The project will (1) define disease co-morbidities and patient profiles in multiple large datasets such as the Danish registries involving longitudinal analyses, and (2) investigate the genomics of AITD and its co-morbidities to more precisely understand the relevant risk factors and biological mechanisms, and hence, offer novel approaches for more personalized healthcare to the patients, most of whom require life-long treatment, as well as to the individuals at risk.

Required qualifications:

  • A master degree in Bioinformatics, Genomics, Computer Science, Mathematics/Statistics, Physics, Engineering or similar
  • Strong programming experience in R and/or Python
  • Excellent command of English (written and oral communication)
  • Either experience with genomic epidemiology or with deep learning (e.g. Pytorch)
  • Experience with the application of epidemiological and/or data science approaches in biological/medical research.

It is expected that applicants have a passion for medical applications of data science. Experience in bioinformatics in general, a good understanding of math/statistics, and familiarity with multi-omics datasets and machine learning will be considered advantageous.

Your key tasks as an RA/PhD student at the Faculty are to:

  • Carry through an independent research project under supervision
  • Write scientific articles and the PhD thesis on the grounds of your research project
  • Complete PhD courses or other equivalent education corresponding to approximately 30 ECTS points
  • Obtain experience with teaching or other types of dissemination related to your PhD project
  • Participate in national and international conferences and scientific meetings
  • Stay at an external research institution, preferably abroad

Key criteria for the assessment of applicants:

  • Professional qualifications relevant to the position
  • Relevant work experience
  • Previous publications
  • Grades and grade point average achieved
  • Other professional activities
  • Language skills

The research will be performed under the supervision of Assistant Professor Tugce Karaderi.

Application Procedure:
Apply by clicking "Apply online" below. Please note that only online applications will be accepted.

Applications - in English - must include:

  • Cover Letter detailing your motivation and background for applying. Make sure to include a description for why this particular research project is interesting for you.
  • CV
  • Diploma and transcripts of records (including grades)
  • Other information for consideration, e.g. list of publications and/or manuscripts (if any), peer reviewed and others
  • Possible references (with contact details – email and telephone numbers) and minimum two letters of recommendation.

The closing date for applications is 23.59, June 1, 2021. Applications received later than this date will not be considered.

Application procedure
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Appointments Committee. All applicants are then immediately notified whether their application has been passed for assessment. An expert assessment committee is appointed in order to make an assessment of the selected applicants for the specific post. Selected applicants are notified of the composition of the committee and 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 jobportal.ku.dk.

Please note that the applicant will be contacted if the assessment committee requires further documentation.

The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities

Read about the recruitment process.

The main criteria for selection will be the candidate’s research potential and the above-mentioned skills.

Terms of employment:
The successful candidate will be offered a full-time position for a total of 3 years and 5 months – the first five months as research assistant and the following 3 years as PhD student, and employment is governed by the Protocol on PhD Research Fellows signed by the Danish Ministry of Finance and AC (the Danish Confederation of Professional Associations). The transfer to employment as a PhD student after the first five months is conditioned upon a positive assessment of the candidate’s research performance during the first five months as well as acceptance of enrolment in the Graduate School at the Faculty of Health and Medical Sciences.

For specific information about the position, please contact Assistant Professor Tugce Karaderi, tugce.karaderi@sund.ku.dk. Any questions regarding the application process or administrative queries of any kind should be directed to HR Partner Ditte Maria Bohn, dmbohn@sund.ku.dk.

For more information on working and living in Denmark: https://ism.ku.dk/, and www.workingconditions.ku.dk

The Faculty of Health and Medical Sciences comprises approximately 7500 students, 1500 PhD students and 3200 employees. The Faculty advances the field of health sciences through its core activities: research, teaching, knowledge sharing and communication. With basic research fields ranging from molecular studies to studies of society, the Faculty contributes to a healthy future through its graduates, research findings and inventions benefitting patients and the community. The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position.

Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre.

Tugce Karaderi
E-mail: tugce.karaderi@sund.ku.dk

Ansøgningsfrist: 01-06-2021

Ansættelsesdato: 01-08-2021

Arbejdstid: Fuldtid

Afdeling/Sted: Center For Health Data Science

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Københavns Universitet (KU)
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