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Assistant Professor of Evolutionary and Computational Genomics

København
Published Oct 15, 2025

Role highlights

Contract type

Full Time

Schedule

Permanent

Experience

Entry

Work style

On-site

Key skills

This Assistant Professor position in Evolutionary and Computational Genomics requires a candidate with a robust background in both evolutionary biology and computational genomics, complemented by a strong foundation in computer science. The role emphasizes expertise in developing statistical inference methods, indicating a need for advanced skills in statistical modeling, algorithm development, and computational data analysis relevant to genomics. Candidates should hold a doctoral degree or equivalent in a related field, demonstrating rigorous academic training and research capability. Responsibilities include conducting independent research, scientific communication, teaching at undergraduate and graduate levels, supervising BSc and MSc students, and engaging in outreach activities. Experience in teaching and student supervision is valued, highlighting the importance of pedagogical skills alongside research proficiency. The position is entry-level academic, suitable for early-career researchers with demonstrated potential in method development and computational approaches to evolutionary genomics. Effective scientific communication and societal engagement skills are also essential. Overall, the ideal candidate combines strong computational and statistical expertise with evolutionary genomics knowledge, teaching experience, and the ability to contribute to academic and public scientific discourse.

#Assistant Professor Genomics #Evolutionary Genomics Researcher #Computational Genomics Scientist #Bioinformatics Lecturer #Genomics Data Scientist #Statistical Genomics Specialist #Genomics Research Fellow #Computational Biology Instructor #Evolutionary Biology Professor #Genomics Method Developer

About the role

Assistant Professor of Evolutionary and Computational Genomics

Globe Institute, Faculty of Health and Medical Sciences
University of Copenhagen

Role Summary

  • Assistant professor position in evolutionary and computational genomics
  • Ideal candidate has strong computer science background and experience in statistical inference method development
  • 2.5-year position, with possible extension depending on funding
  • Start date: 1 April 2026 or as soon as possible thereafter

Responsibilities

  • Conduct research in evolutionary and computational genomics and related fields
  • Scientific communication and teaching, including examination duties
  • Scientific outreach and societal engagement
  • Other duties as assigned

Requirements

  • Background in evolutionary and computational genomics
  • Strong background in computer science
  • Experience in developing methods for statistical inference

Application Materials

  • Curriculum vitae
  • Diplomas (Master and PhD degree or equivalent)
  • Short research/teaching/outreach plan (max 1 page)
  • If available, description and documentation of teaching and supervision experience (max 1 page), including:
    • Experience with supervision of BSc and MSc students
    • Teaching experience

Terms of Employment

  • Covered by the Memorandum on Job Structure for Academic Staff
  • Terms and payment according to agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State
  • Salary supplement negotiation possible

Additional Information

  • Application deadline: 28 October, 23:59 GMT +1
  • Interviews held in week 50
  • Reference number: 211-0534/25-2A
  • The University encourages applications from all qualified candidates regardless of personal background
  • For more information: Globe Institute
  • Recruitment process details: http://employment.ku.dk/faculty/recruitment-process/
  • Inquiries: Anders J. Hansen
  • Please mention in your application that you found the job at Jobindex

How to Apply

  • Submit your application in English electronically by clicking APPLY NOW on the job posting

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