PhD Fellow: Arctic Biodiversity Forecasting & Modelling

UiT- The Arctic University of Norway; Of; On-site; TRY 2,421,426 - 2,959,520; Full time

Benefits offered by this job

Good career development opportunities

Flexible working hours

Pension scheme

Engagement in an international research project

Job summary

UiT - The Arctic University of Norway is inviting applications for a PhD position at the Department of Arctic and Marine Biology. The role focuses on developing ecological forecasts integrating spatiotemporal models, working collaboratively across institutes. Applicants need a Master's degree in a relevant quantitative field, proven statistical experience, and fluent English.

The position offers a gross salary of NOK 565,000 and participation in an international research project with great data resources. Flexible working hours and a pension scheme are also included.

Qualifications

• Master's degree in statistical ecology or applied environmental statistics.
• Experience with forecasting models and spatio-temporal analysis.
• Strong quantitative skills and documented fluency in English.

Responsibilities

• Conduct interdisciplinary research using spatiotemporal models.
• Develop ecological forecasts linking single-species and ecosystem models.
• Engage with stakeholders and conduct field-based data collection.

Skills

Statistical methods for spatio-temporal modelling

Fluency in English

Experience with Bayesian methods

Working knowledge of Norwegian or another Scandinavian language

Education

Master's degree in statistical ecology or related field

Bachelor’s degree of 180 ECTS

Job description

UiT - The Arctic University of Norway is inviting applications for a PhD position at the Department of Arctic and Marine Biology. The role focuses on developing ecological forecasts integrating spatiotemporal models, working collaboratively across institutes. Applicants need a Master's degree in a relevant quantitative field, proven statistical experience, and fluent English.

The position offers a gross salary of NOK 565,000 and participation in an international research project with great data resources. Flexible working hours and a pension scheme are also included.