Arctic PhD: Ageing & Resilience in Svalbard Reindeer

Laplace Expert Ltd; Aberdeen City; Hybrid; GBP 17,000 - 21,000; Part time

Benefits offered by this job

Scholarship

Scientific conferences funding

Job summary

University of Aberdeen offers EASTBIO PhD studentship focusing on ageing and physiological resilience in Svalbard reindeer. The project uses longitudinal observations and blood samples from individually monitored female Svalbard reindeer to separate ageing effects from environmental and reproductive influences.

The position involves RNA sequencing, DNA methylation analysis and bioinformatics within an ecophysiology framework, with strong quantitative components and potential for part-time

Qualifications

• UK 2:1 honours degree or equivalent in a relevant subject; 2:2 may be considered with distinction/commendation at master’s level.
• Experience with longitudinal life-history modelling and omics data analysis desirable.
• Strong computational and data analysis skills in biology, ecology or evolution.

Responsibilities

• Conduct longitudinal analyses combining life-history data with omics datasets.
• Perform RNA sequencing and DNA methylation analyses.
• Apply bioinformatics approaches to interpret results and support Arctic adaptation research.

Skills

Longitudinal life-history modelling

RNA sequencing

DNA methylation analysis

Bioinformatics

Ecophysiology

R

Python

Bioconductor

Education

UK 2:1 honours degree or equivalent in a relevant subject

2:2 may be considered with distinction/commendation at master’s level

Tools

R

Python

Bioconductor

Job description

University of Aberdeen offers EASTBIO PhD studentship focusing on ageing and physiological resilience in Svalbard reindeer. The project uses longitudinal observations and blood samples from individually monitored female Svalbard reindeer to separate ageing effects from environmental and reproductive influences.

The position involves RNA sequencing, DNA methylation analysis and bioinformatics within an ecophysiology framework, with strong quantitative components and potential for part-time