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PhD or Postdoctoral Positions in Computational off-target Analysis of siRNA and Small Peptides, Denmark

The University of Copenhagen is offering two PhD or Postdoctoral Positions in Computational off-target Analysis of siRNA and Small Peptides These positions are part of the ENSAFE project, funded by the Novo Nordisk Foundation, aiming to develop innovative computational tools for environmental risk assessment of bio-based plant protection products.

Eligibility for this program is open to motivated and enthusiastic candidates with strong technical backgrounds in bioinformatics, computer science, or related fields. Applicants must demonstrate expertise in programming, machine learning, data analysis, and omics techniques, along with excellent English communication and teamwork skills.

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The University of Copenhagen (UCPH), founded in 1479, is one of Europe’s leading research-intensive universities and Denmark’s oldest institution of higher education. Renowned for its commitment to academic excellence, UCPH offers a dynamic and innovative environment for learning and discovery across a broad range of disciplines. The university is a member of the International Alliance of Research Universities (IARU) and is consistently ranked among the top universities globally.

Application Deadline: 3 January 2025

Brief Description

  • University or Organization: University of Copenhagen
  • Department: Department of Veterinary and Animal Sciences
  • Course Level: PhD/Postdoctoral
  • Award: Fully funded positions
  • Access Mode: Online
  • Number of Awards: Two
  • Nationality: International
  • The award can be taken in: Denmark

Eligibility

  • Eligible Countries: All nationalities
  • Acceptable Course or Subjects: The scholarship will be awarded for research in computational off-target analysis of siRNA and small peptides.
  • Admissible Criteria:
    • For PhD applicants:
      • Must have completed an MSc degree in bioinformatics, computer science, or a related field equivalent to a Danish master’s degree.
      • Strong experience in Python programming and Linux/Unix environments.
      • Familiarity with machine learning algorithms and omics data analysis.
    • For Postdoc applicants:
      • Must hold a PhD in bioinformatics, computer science, or a similar area.
      • At least three years of postdoctoral experience, demonstrated by publications and significant coding projects.
    • Both PhD and Postdoc applicants should demonstrate:
      • Proficiency in English (written and spoken).
      • Strong team collaboration skills.
      • Knowledge in RNA/protein structure and interaction prediction.

How to Apply

Interested candidates must submit their application online in English by 3 January 2025 (23.59 CET). The application must include:

  1. Motivation letter detailing qualifications under “Essential” and “Desirable” skills.
  2. CV including education, research experience, language proficiency, and other relevant skills.
  3. Certified copies of:
    • For PhD applicants: MSc diploma and transcripts (or statement if incomplete).
    • For Postdoc applicants: PhD certificate (or supervisor’s statement if incomplete).
  4. List of publications.
  5. Personal recommendations (if unavailable, provide an explanation).

For application details, visit: https://employment.ku.dk/faculty/recruitment-process/.

Benefits

Salary

    • Postdocs: Starting at 35,000 DKK/month (approx. 4,700 EUR).
    • PhD students: Starting at 27,800 DKK/month (approx. 3,700 EUR).
  • Additional 17.1% pension contribution.
  • Tax reductions for eligible international applicants.
  • Opportunity to work in a highly international and collaborative research environment.
  • Access to state-of-the-art computational infrastructure and potential supercomputing facilities.

Apply Now