Data-Driven Nutrition Researcher | AI & Time-Series

Karlstad University; Göteborgs kommun; On-site; SEK 446,400 - 669,600; Full time

Benefits offered by this job

Access to international networks

Opportunities for personal and scientific development

Job summary

Karlstad University is seeking an ambitious applied researcher to join the Fraunhofer-Chalmers Centre in Gothenburg. This unique role involves working at the intersection of data-driven nutrition and health, with opportunities to apply advanced quantitative methods in interdisciplinary research projects.

The ideal candidate will hold a PhD and possess strong programming skills in R or Python, alongside a solid background in statistical modelling and machine learning. This position offers a rich collaborative research environment and a chance to influence significant initiatives in health and nutrition.

Qualifications

• Experience in data-driven research related to biomedicine or nutrition.
• Proficiency in statistical modeling and programming in R or Python.
• Interest in interdisciplinary environments and biological research.

Responsibilities

• Act as a key person in research collaboration.
• Lead projects in data-driven nutrition and health.
• Supervise PhD students and postdocs.

Skills

Statistical modelling

Machine learning

Programming in R

Programming in Python

Interdisciplinary collaboration

Education

PhD in Applied Mathematics, Data Science or related field

Tools

AI & machine learning methods

Reproducible analysis workflows

Job description

Karlstad University is seeking an ambitious applied researcher to join the Fraunhofer-Chalmers Centre in Gothenburg. This unique role involves working at the intersection of data-driven nutrition and health, with opportunities to apply advanced quantitative methods in interdisciplinary research projects.

The ideal candidate will hold a PhD and possess strong programming skills in R or Python, alongside a solid background in statistical modelling and machine learning. This position offers a rich collaborative research environment and a chance to influence significant initiatives in health and nutrition.