Lead Data-Driven Nutrition Researcher

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG; Göteborgs kommun; On-site; SEK 450,000 - 600,000; Full time

Benefits offered by this job

Access to international academic and industrial networks

Opportunities for personal and scientific development

Job summary

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG seeks an ambitious applied researcher focusing on data-driven nutrition and health in Gothenburg. This role entails leading research projects and collaborating with domain experts in nutrition, medicine, and AI. The ideal candidate holds a PhD in a related field and has a solid programming background in R or Python.

Join a dynamic research environment at the Fraunhofer-Chalmers Centre and contribute to innovative projects that bridge mathematical and biomedical research.

Qualifications

• Holds a PhD in Applied Mathematics, Mathematical Statistics, or related field.
• Experience in data-driven research related to biomedicine, nutrition, or public health.
• Proficient in statistical modelling and machine learning methods.

Responsibilities

• Lead research projects in data-driven nutrition and health.
• Conduct statistical modelling and analysis of diverse datasets.
• Supervise PhD students and postdocs involved in joint projects.

Skills

Statistical modelling and AI

Programming in R and/or Python

Data-driven research

Interdisciplinary collaboration

Education

PhD in Applied Mathematics or related field

Tools

R

Python

Job description

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG seeks an ambitious applied researcher focusing on data-driven nutrition and health in Gothenburg. This role entails leading research projects and collaborating with domain experts in nutrition, medicine, and AI. The ideal candidate holds a PhD in a related field and has a solid programming background in R or Python.

Join a dynamic research environment at the Fraunhofer-Chalmers Centre and contribute to innovative projects that bridge mathematical and biomedical research.