Archived Post

From  Tue May  9 09:55:44 2023
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From: "Xijiang Yu" <>
Postmaster: submission approved by list moderator
To: Members of AnGenMap <>
Subject: PhD scholarship developing simulation tools for managing
        genetic diversity
Date: Tue, 09 May 2023 09:55:44 -0500


About the position

The Department of Animal and Aquacultural Sciences, Faculty of Biosciences at
the Norwegian University of Life Sciences (NMBU) has a vacant three year
PhD–position related to biometrical genomics.

We are looking for an ambitious student with experience in analysis of
genomic data and programming to pursue their career in an ambitious PhD
project focusing on the efficient use of genomic data and technologies in the
management of genetic variation, studied by in-silico simulations. The aim is
to utilise the benefits of high-level programming languages to develop
flexible software suitable for in-silico generation of genetic data and test
of the (long-term) effects of breeding strategies including gene-editing,
methods to predict breeding values, and other genetic/genomic related

The PhD student will become part of a team developing a simulation tool in
Julia. Software development will be done in collaboration with ongoing
projects in a team composed of the supervisor group, a resource group and
industry stakeholders. The project is linked to on-going projects: 1) Methods
to reduce the population genetic load at a predefined rate (Task in H2020
project Rumigen 2021-2026), 2) Implementation of gene edits in an ongoing
breeding program (NFR EcoGene 2019-2024) and 3) Gene editing for elucidating
gene function and refining genomic selection for CMS resistance in Atlantic
salmon (NFR CMSEdit,2021-2023).

The applicant is made aware that an application for a PhD position at NMBU is
at the same time an application for admission to a PhD programme at the
institution. The documentation that is necessary to ensure that the admission
requirements are met must be uploaded as an attachment.

Main tasks

The PhD project aims to utilise the benefits of the new and efficient
programming language of Julia to develop flexible software. The PhD student
will become part of a team developing a simulation tool in Julia with a
specific emphasis on demonstrating its application through four cases:

• Developing and validating genetic models maintaining genetic variation,
  based on complex system biology pathways
• Contribution of novel mutations to long-term genetic progress and genetic
• Forward in time simulations based on real data (pedigree, phenotypes and/or
• Optimised breeding strategies using gene-editing and its impact
• All four cases are relevant across species in livestock, fish and

The successful candidate is expected to enter a plan for the progress of the
work towards a PhD degree during the first months of the appointment, with a
view to completing a doctorate within the PhD scholarship period.

The successful applicant must meet the conditions defined for admission to a
PhD programme at NMBU. The applicant must have an academically relevant
education corresponding to a five-year master’s degree or a
degree, with a learning outcome corresponding to the descriptions in the
Norwegian Qualification Framework, second cycle. The applicant must have a
documented strong academic background from previous studies and be able to
document proficiency in both written and oral English. For more detailed
information on the admission criteria please see the PhD Regulations and the
relevant PhD programme description.

The applicant must document expertise and interest in the research subject.

Required Academic qualifications

• Relevant master degree in breeding and genetics, genome science,
  computational or statistical sciences or similar. Candidates that are close
  to completion of their master’s degrees will also be considered.

The following experiences and skills will be emphasized:

• Knowledge and preferably experience with analysis of genomic data.
• Documented skills in programming, particularly in high-level programming
• Interest in modelling complex biological data.
• Strong analytical skills

You need to:

• Be positive to working in teams and coordinate your contributions to
  project requirements.
• Have a genuine interest in scientific research
• Be proficient in English, both written and spoken and have good verbal
  communication skills

Remuneration and further information

The position is placed in government pay scale position code 1017 PhD Fellow.
PhD Fellows are normally placed in pay grade 54 (NOK 532.200,-) on the
Norwegian Government salary scale upon employment and follow ordinary
meriting regulations.

Employment is conducted according to national guidelines for University and
Technical College PhD scholars.

For further information, please contact Prof. Peer Berg, head of group and
main supervisor, E-mail:; phone +47 40624469;

Prof Theo Meuwissen co-supervisor, E-mail:; phone +47

Prof Hans Magnus Gjøen, co-supervisor; E-mail:;
phone +47 67232714

Dr. Xijiang Yu
IHA, NMBU, P.Box 5003
N-1432, Ås, Norway
Tlf.: +47 (67) 23 27 33

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Contact: NAGRP Bioinformatics Team