Fully Funded PhD: Marine Populations Genetics & Modelling

Ntnu; Trondheim; Hybrid; NOK 480,000 - 560,000; Full time

Job summary

NTNU's Department of Biology invites applications for a fully funded PhD position in modelling marine larval dispersal and spatial population genetics. The project blends ecology, oceanography and computation, with SLiM, machine learning and biophysical models.

The successful candidate will work within an international group and gain broad research skills for an academic career. The PhD is hosted by the NTNU Department of Biology, with opportunities for conferences and collaborations.

Qualifications

• Admission to the faculty's Doctoral Programme with a five-year degree and a master's thesis.
• Strong academic background with average grade of B or better on NTNU scale.
• Excellent oral and written English.
• Background in ecology or evolution.
• Strong quantitative and computational skills.
• Experience with R, Python, MATLAB and Linux.
• Experience with SLiM or similar.
• Experience with machine learning.
• Experience with biophysical dispersal models.
• Experience with geospatial data.
• Experience analyzing whole genome libraries.

Responsibilities

• Complete the doctoral education until obtaining a doctorate.
• Learn and apply advanced statistical and computational methods to analyze genetic data.
• Contribute to generating and managing reproducible code and workflows.
• Produce a high-quality PhD thesis suitable for publication.
• Participate in international activities such as conferences and research stays.
• Produce presentations for research dissemination.
• Contribute to building a collaborative international research team.
• Undertake teaching and other professional activities as agreed.

Skills

Computational skills

Python

R

Linux

Machine learning

Geospatial data

English communication

Education

Five-year Norwegian degree with master's thesis

Tools

SLiM (Selection on Linked Mutations)

Python

R

MATLAB

Job description

NTNU's Department of Biology invites applications for a fully funded PhD position in modelling marine larval dispersal and spatial population genetics. The project blends ecology, oceanography and computation, with SLiM, machine learning and biophysical models.

The successful candidate will work within an international group and gain broad research skills for an academic career. The PhD is hosted by the NTNU Department of Biology, with opportunities for conferences and collaborations.