Research assistant in climate attribution and health Full-time

Research Assistant In Climate Attribution And Health

Do you want to contribute to improving human health?

The Department of Global Public Health is a multidisciplinary department with the aim to advance knowledge about challenges and opportunities for public health in a local, national, and global setting. Many researchers at the department are scientific advisors to authorities and other decision makers at regional, national, and international levels. The department is responsible for three international master's programmes and the researchers are actively involved in teaching at undergraduate and postgraduate level. The department has 12 research groups, around 120 PhD students and about 140 employees.

The position is placed in the Climate Extremes & Population Health team in PRIME (Prevention, Intervention and Mechanisms in Public Health) research group. We lead major national and international projects on how climate extremes affect population health, focusing on three key areas: vulnerability, adaptation and future risks.

Your Mission

We are looking for 1-2 research assistants at 100% full-time equivalent (FTE) for twelve months. As part of our team, you will contribute to research aimed at quantifying the health impacts of climatic factors and climate extremes, and at advancing attribution approaches to estimate the fraction of the observed burden that is attributable to anthropogenic climate change. The role will involve the analysis of large-scale linked health, environmental, and climatic datasets, including the estimation of exposure-response relationships and the integration of these with climate-based attribution frameworks comparing factual and counterfactual conditions. This includes supporting work that combines epidemiological modelling with climate information to assess how changes in the probability, intensity, or co-occurrence of climatic hazards translate into changes in population health burden. The postholder will also contribute to the development of advanced statistical methods, reproducible programming workflows, and scientific manuscripts. The position will include affiliation with the Swedish Centre for Impacts of Climate Extremes and will be in collaboration with Centre national de la recherche scientifique (CNRS), France and the University of Bern.

Your Profile

Requirements for the position:

• The candidate must hold a master's degree in computer and data science, statistics, mathematics, or related disciplines.
• Documented experience of data science.
• Experience in analysing large-scale data, along with advanced programming skills in R and/or Python (or other relevant languages).
• Fluent knowledge in written and spoken English.

The following criteria are meritorious:

• Experience with large scale climate or health data is a merit.

We put great importance on personal qualities in this recruitment. As a person, you are curious, highly motivated and persistent. You demonstrate a degree of independence and problem-solving skills. You are collaborative and have good communication skills

What Do We Offer?

A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. At Karolinska Institutet, we conduct innovative medical research and provide the largest range of biomedical education in Sweden. At KI, you get to meet researchers working with a wide range of specialities and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific fields within medicine and health. It is the crossover collaborations, which have pushed KI to where it is today, at the forefront of global research. Several of the people you meet in health care are educated at KI. A close relationship with the health care providers is important for creating groundbreaking top quality education and research. Karolinska Institutet is also a state university, which entitles you to several benefits through our collective agreement.

Location: Solna