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Marine Ecology and Population Genetics● Open⏰ 5 days leftPreview

PhD Candidate in Marine Larval Dispersal and Spatial Population Genetics

Explore the intersection of oceanography, genetics, and computational modelling to advance marine conservation science.

Best for:Best for candidates with a master’s in ecology, evolutionary biology, marine science, or computational biology, seeking to combine population genetics, oceanography, and computational modelling.

NTNU - Norwegian University of Science and Technology · Trondheim, Norway · R1 · First-stage researcher
More professors at NTNU - Norwegian University of Science and Technology
marine larval dispersal modellingspatial population geneticsgenetic demographyoceanographic modellingindividual-based simulationsmachine learning in genomics
Deadline
Oct 20, 2026
5 days
Funding
Salaried
NOK 550.8k/yr
Start date
flexible (within three months of contract start)
Full-time
Location
Trondheim
Norway

Overview

This fully funded PhD position at NTNU’s Department of Biology focuses on modelling marine larval dispersal and spatial population genetics. Under the supervision of Associate Professor Scott C. Burgess, the candidate will develop computational and statistical methods to study how coastlines, ocean currents, and biological factors shape genetic and demographic structures in marine populations. The project integrates simulations, machine learning, and genomic data to predict population responses to environmental change. Ideal for applicants with a strong quantitative background and interest in interdisciplinary marine science, this role offers training in cutting-edge research tools and international collaboration opportunities.

marine ecologypopulation geneticsgenomic data analysiscomputational biologyoceanographySLiM softwarespatial modellinggenetic relatedness

What you'll do

  • Complete doctoral education to obtain a PhD in marine ecology or related field.
  • Develop and apply advanced statistical and computational methods to analyze genetic, simulation, and biophysical model data.
  • Generate and manage reproducible computational workflows and code for research outputs.
  • Publish high-quality manuscripts in international peer-reviewed journals as part of the PhD thesis.
  • Present research findings at international conferences and workshops.
  • Collaborate with international research partners and contribute to team-building efforts.
  • Participate in teaching and professional activities as agreed with the department.
  • Engage in independent research while maintaining structured project planning.

Requirements

Degree required: Master’s degree in ecology, evolutionary biology, marine science, computational biology, or related field (equivalent to a Norwegian 5-year degree programme with a 30 ECTS independent project).

Degree offered: PhD

Language: English; proficiency sufficient for academic research and communication (no formal test score required).

Instruction: English

Required skills
  • Strong academic background in ecology or evolution.
  • Excellent quantitative and computational skills.
  • Proficiency in oral and written English for research communication.
  • Ability to work independently and collaboratively in a research team.
Nice to have
Experience with programming languages such as R, Python, or MATLAB.Familiarity with evolutionary simulation software like SLiM.Knowledge of machine learning techniques or willingness to learn.Experience with biophysical dispersal models or geospatial data analysis.Background in analysing whole-genome libraries or population genetic summaries.
Eligibility
  • Must meet NTNU’s admission criteria for the Doctoral Programme.
  • Previous education must include a major independent project (minimum 30 ECTS).
  • Average grade from Master’s studies must be equivalent to B or better on NTNU’s grading scale.
  • No nationality restrictions, but eligibility depends on NTNU’s admission policies.

Funding & terms

Type
Salaried
Amount
NOK 550.8k/yr
Duration
3 years (with possibility of up to 12 months additional career promotion work)
Programme
NTNU - Norwegian University of Science and Technology
NTNU - Norwegian University of Science and Technology

How to apply

Deadline: 2026-10-20

Submit a complete application package including a cover letter, CV, and statement of research interests in English. Ensure all required documents are attached as the basis for assessment. Apply through NTNU’s official vacancy portal.

Documents required
  • Cover letter
  • CV
  • Statement of research interests
  • Transcripts from Bachelor’s and Master’s degrees
  • Proof of English proficiency (if applicable)
  • Reference letters (if required)
↗Apply on site

Contact

Scott Burgess· Associate Professor

https://www.ntnu.edu/employees/scott.c.burgess

SB
Prof.
Scott Burgess
Department of Biology
Lab
Marine Ecology and Evolution Research Group
NTNU - Norwegian University of Science and Technology
Norway
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