PhD position in Bioinformatics, Genomics, Computer Science, Data science

    PhD position in Bioinformatics, Genomics, Computer Science, Data science

    Bioinformatics, Genomics, Computer Science, Data science – PhD position to investigate autoimmune thyroid disease in precision medicine, in the Center for Health Data Science at the Faculty of Health and Medical Sciences, University of Copenhagen, Denmark


    Deadline to Apply

    June 01, 2021 (23: 59 GMT +1)


    Overview

    PositionPhD Position
    No. of Position(s)1
    Research Area– Bioinformatics
    – Genomics
    – Computer Science
    – Mathematics
    – Statistics
    – Physics
    – Engineering 
    ScholarshipAccording to standard norms
    WorkplaceCenter for Health Data Science
    Faculty of Health and Medical Sciences
    University of Copenhagen
    Contract Period3 Years and 5 Months
    Starting dateAug 01, 2021

    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.

    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

    Preference

    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

    Responsibilities

    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.

    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

    How to Apply?

    Apply by clicking “Apply online” above. Please note that only online applications will be accepted.

    Documents Required

    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.

    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.

    Faculty of Health and Medical Sciences

    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.

    Center for Health Data Science (HeaDS)

    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.

    Inquiries

    Assistant Professor Tugce Karaderi
    Email: tugce.karaderi@sund.ku.dk

    HR Partner Ditte Maria Bohn
    Email: dmbohn@sund.ku.dk.

    Official advertisement

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

    Post expires at 8:59am on Wednesday June 2nd, 2021 (GMT+9)