PhD position – Multi-disciplinary application of data science approaches to investigate autoimmune...

Updated: 2 months ago
Job Type: FullTime
Deadline: 02 Jun 2021

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

Supervision

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.

Questions:

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 .

Online application form must be completed for the application to be processed: https://candidate.hr-manager.net/ApplicationForm/SinglePageApplicationFo...

 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.


View or Apply

Similar Positions