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Few PhD fellowship in Structural Bioinformatics – UCPH, Denmark.

University of Copenhagen (UCPH)

Denmark

PhD Project in Computational modelling to understand and predict protein variant effects – Department of Biology, Faculty of SCIENCE, University of Copenhagen – Denmark.

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General Info

Position: PhD
No. of Positions: 1+
Research Field: , , , ,
Deadline to Apply: Expired
Joining Date: Feb 01, 2022
Contract Period: 3 Years
Salary: According to Standard Norms

Workplace:
PRISM centre
Department of Biology, Faculty of Science
University of Copenhagen (UCPH)
Copenhagen K,

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Qualification Details

To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. bioinformatics, computational biophysics, physics, chemistry or biochemistry. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.

Responsibilities/Job Description

  • Carry through an independent research project under supervision
  • Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE
  • Participate in active research environments, including a stay at another research institution, preferably abroad
  • Teaching and knowledge dissemination activities
  • Write scientific papers aimed at high-impact journals
  • Write and defend a PhD thesis on the basis of your project

How to Apply?

Online Application through "Apply Now" Button from this page or from advertisement webpage (URL below)

Reference Number: -
(If any, use it in the necessary place)

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Documents Required

Please include:

  1. Motivated letter of application (max. one page) explaining your background, key skills and how they are relevant to the research in PRISM
  2. Curriculum vitae (max. 2 pages) including information about your education, experience, language skills and other skills relevant for the position
  3. Publication list (if relevant) including preprints and papers in active preparation. Please do not enclose copies of the papers.
  4. Original diplomas for Bachelor of Science or Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
  5. If you do not yet hold your MSc and would like to apply, please submit a letter from your supervisor regarding your expected graduation date
  6. Name and contact details for 1-2 former supervisors or others who might provide reference. Please do not enclose reference letters.

About the Project

The PhD students will work on one or more of the subprojects within PRISM. Long-term goals include developing predictive and mechanistic models for how genomic variation in protein-coding regions (protein variants) affect the stability, interactions and function of proteins. We are in particular interested in developing predictive models that can be interpreted in terms of specific biological mechanisms. For an introduction to the computational aspects of the research see e.g. our recent review (Stein et al, TiBS, 2019, https://doi.org/10.1016/j.tibs.2019.01.003) and recent research papers (e.g. Cagiada et al, https://doi.org/10.1093/molbev/msab095, Johansson et al, https://doi.org/10.1101/2020.12.03.408732, Høie et al, https://doi.org/10.1101/2021.06.26.450037). Research topics for the PhD projects include:

  • Predicting effects of variation on protein stability and protein function across entire proteomes
  • Development and application of prediction methods to interpret genomic variation
  • Using methods from structural bioinformatics and protein sequence analysis to perform large scale analysis of human genetic variation
  • Combining data from multiplexed assays and computational methods to understand protein stability and degradation in a cellular context
  • Developing methods to analyse multiplexed assays of protein variant effects

About the Employer: University of Copenhagen (UCPH)

Note or Other details

General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https://www.science.ku.dk/phd/.

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Contact details

For specific information about the PhD fellowship, please contact the principal supervisor Kresten lindorff@bio.ku.dk

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