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Subject:

Postdoc: NINA_Trondheim.PDF_PhD.SalmonEcoEvo

From:

Bob OHara <[log in to unmask]>

Reply-To:

Bob OHara <[log in to unmask]>

Date:

Wed, 23 May 2018 13:38:12 +0200

Content-Type:

text/plain

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Parts/Attachments

text/plain (161 lines)

(I'm passing this on mainly because of the first position, which will 
require someone with statistical skills. Both positions will be based at 
NINA in Trondheim)

Two positions in quantitative ecology and evolution of salmon:
PhD student or Postdoctoral fellow on sea survival
Postdoctoral fellow on eco-evolutionary dynamics modelling

The Department of Aquatic Ecology at the Norwegian Institute for Nature
Research (NINA) is inviting applications for two positions: a PhD student
or postdoctoral fellow position, and a Postdoctoral fellow position. Both
are 3-year positions with possibilities for an extended period and/or
for a permanent position in NINA.

NINA is Norway's leading institution in applied ecological research and
has approximately 250 employees. The Department of Aquatic Ecology,
located in Trondheim, Norway, has more than 50 scientists, postdocs,
PhD students and research assistants. More information about NINA can
be found at www.nina.no.

Job description (repeated under):
https://www.nina.no/Aktuelt/Nyhetsartikkel/ArticleId/4508/PhD-student-or-Postdoctoral-fellow-on-sea-survival-Postdoctoral-fellow-on-eco-evolutionary-dynamics-modelling




PhD student or Postdoctoral fellow on sea survival:

Research Project:
The successful candidate will work on aspects related to sea survival
and will be closely connected to the project "ATLANTIC SALMON AT SEA -
factors affecting their growth and survival" recently granted by the
Research Council of Norway's MILJØFORSK program. This project aims at
understanding the factors underlying temporal and spatial variation in
the survival of Atlantic salmon at sea. This includes environmental,
developmental and genetic factors (using molecular data). The candidate
will work in close collaboration with the postdoctoral fellow working on
eco-evolutionary dynamics modelling (see below). The position is funded
by a strategic institute initiative at NINA. We will employ either a
PhD student, or a Postdoctoral fellow, dependent on qualifications of
the applicants.

More information about the ATLANTIC SALMON AT SEA project can be found at
https://www.forskningsradet.no/prosjektbanken/#/project/NFR/280308/Sprak=en.

Main tasks:
*Statistical analysis of time-series data.
*Stochastic population modelling.

Academic Qualifications:
Required:
*Master's degree in biology, statistics or similar for PhD student,
or PhD on the same topics for postdoc.
Desired:
*Strong statistical skillset.
*Experience in R programming.




Postdoctoral fellow on eco-evolutionary dynamics modelling:

Research Project:
The successful candidate will be funded through the project "The effect
of life-history genes on eco-evolutionary dynamics (EcoEvoGene)",
recently granted by the Research Council of Norway FRIPRO program. This
project aims at understanding how the genetic basis of life-history
variation affects the interplay between population dynamics and life
history-evolution in a wild Atlantic salmon population. The candidate
will work in close collaboration with the PhD student or Postdoctoral
fellow working on sea survival.

The successful candidate will be expected to spend significant time (6
to 12 months) at University College Cork, Ireland, to work with Thomas
Reed and Phillip McGinnity.

More information about the EcoEvoGene project can be found at
https://www.forskningsradet.no/prosjektbanken/#/project/NFR/275862/Sprak=en.

Main tasks:
*Construct a pedigree for the salmon population in the Imsa River using
high-density SNP data.
*Develop a stochastic population model for the Imsa salmon population.
*Develop an eco-evolutionary model for the Imsa salmon population.

Academic Qualifications:
Required:
*PhD in ecology, evolutionary biology, biostatistics or similar.
*Strong statistical skillset.
*Experience in R programming.
Desired
*Experience with stochastic matrix population models.
*Experience with estimating natural selection.
*Experience with GWAS or QTL analyses.
*Experience in C++ programming or other programming languages.
*Knowledge on quantitative genetics, stochastic population dynamics and
population genetics.




General information for both positions:

Personal skills:
*Ability for independent work displaying initiative and careful creative
thought.
*Analytical and academic approach to research questions.
*Good collaborative/social skills.
*Applicants must be proficient in English, both written and spoken.
*Proficiency in Norwegian is not required but is advantageous.

NINA offers
*State regulated salary levels (annual salary for PhD is NOK 459 100 to
508 800, and annual salary for postdoc is NOK 579 300 to 590 000).
*Good pension and insurance schemes.
*Flexible working hours.
*A welcoming and inspiring working environment.
*Beautiful surroundings https://www.visitnorway.com/places-to-go/trondelag/

Candidates should submit their application with references via e-mail
to [log in to unmask], attaching scanned documentation on education,
exams (including major grades), relevant experience, and a publication
list. Letters of recommendation and selected scientific publications
in pdf-format may also be attached. The applicants should also provide
a short (max 500 words) description of the reasons why he or she is
particularly suited for one or both positions. Selected candidates will
be invited for interview.

We encourage all qualified candidates to apply, irrespective of gender,
physical ability or cultural background.

For more information, please contact researcher Geir H. Bolstad (+47 920
37 665, e-mail: [log in to unmask]), research director Kjetil Hindar
(+47 934 66 746,  e-mail: [log in to unmask]), or researcher Eva
Thorstad (+47 91 66 11 30  e-mail: [log in to unmask]).

The application deadline is July 1st.




Geir H. Bolstad (PhD)
Researcher
Norwegian Institute for Nature Research - NINA
Tel: +4792037665
E-mail: [log in to unmask]







Geir Bolstad <[log in to unmask]>

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