Fisheries Stock Assessment Scientist & Advisor

Sveriges lantbruksuniversitet; Town of Sweden (NY); On-site; USD 67,275 - 93,150; Full time

Job summary

Sveriges lantbruksuniversitet invites applications for a permanent Researcher position in stock assessment and advice for fisheries management within the Institute of Marine Research in SLU Aqua. The role involves collaborating with international partners, analyzing large data sets, and contributing to policy‑relevant scientific advice.

The successful candidate will have a PhD in quantitative analysis of biological systems, strong coding skills in R, experience with state‑space models, and a

Qualifications

• PhD in quantitative analysis of biological systems (statistics, mathematics, modelling, marine biology or related).
• Strong quantitative skills: analysis, statistics and modelling.
• Experience in fisheries stock assessment preferred.
• Ability to publish and communicate scientific results.

Responsibilities

• Analyzing large data sets for input into assessments and biological advice.
• Following the development and supporting the transition to next‑generation assessment models.
• Performing fish stock assessment.
• Participating in national and international expert groups.
• Contributing to scientific advice for fisheries management.
• Contributing to scientific publications as well as national and international reporting.
• Applying for research funding.
• Teaching, mentoring, internal competence building and outreach.

Skills

Quantitative analysis

Statistics

Modelling

Version control

Education

PhD in quantitative analysis of biological systems

Tools

R

TMB

Git

Job description

Sveriges lantbruksuniversitet invites applications for a permanent Researcher position in stock assessment and advice for fisheries management within the Institute of Marine Research in SLU Aqua. The role involves collaborating with international partners, analyzing large data sets, and contributing to policy‑relevant scientific advice.

The successful candidate will have a PhD in quantitative analysis of biological systems, strong coding skills in R, experience with state‑space models, and a