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Postdoctoral Researcher - CATALYSE (F/M/DIV)

Hertie School

Location: Berlin - Germany
Salary: Not Specified
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 21st November 2022
Closes: 9th December 2022

The Hertie School in Berlin prepares exceptional students for leadership positions in government, business, and civil society. The school offers master’s programmes, executive education and doctoral programmes, distinguished by interdisciplinary and practice-oriented teaching, as well as outstanding research. Its extensive international network positions it as an ambassador of good governance, characterised by public debate and engagement. The school was founded in 2003 by the Hertie Foundation, which remains its major funder. The Hertie School is accredited by the state and the German Science Council.

We seek to fill the following position: Postdoctoral Researcher - CATALYSE (f/m/div) full-time (40 hours per week). 

The contract shall commence as of 01 January 2023 and is limited for three years. 

This is an exciting opportunity to work on a Horizon Europe project developing public health digital surveillance tool for perceived health implications of climate change.  

The postholder will work with Slava Jankin, a Principal Investigator on the CATALYSE project. The CATALYSE project is a multi-year (2022-2027) international and inter-disciplinary project that seeks to catalyse climate action in Europe to protect public health.  

This role will involve conducting research that seeks to better understand citizen perception and attribution of health effects of climate change. This work will include machine learning, natural language processing, causal inference, and other relevant methods. The postholder will be expected to play an active role in the design and development of the research programme.  

Your tasks:

  • Work with the research team and relevant stakeholders to design and conduct research on how the public, policymakers, and other key actors perceive the health dimensions of climate change. 
  • Develop and implement attributional models of health implications of climate change based on publicly available structured and unstructured (text and images) data, including social media data.
  • Develop and implement a public health digital surveillance system for self-reported health effects attributable to climate change at different geographical resolution levels. 

Your profile:

  • A PhD degree (or nearing completion) in computer science, statistics, health data science, computational social science or a related discipline.
  • Evidence of high-quality publications in leading international outlets.
  • A research agenda and interest in the health and climate change.
  • Excellent practical knowledge of relevant SOTA in NLP. 
  • Interest and experience in large scale data engineering projects and MLOps. 
  • Evidence of English proficiency at an advanced level.
  • Ability to communicate complex information clearly in writing and verbally.
  • Ability to work independently and as part of a team.
  • Good organisational and interpersonal skills. 

We offer:

A stimulating international and diverse environment in multiple areas of social science, high-quality teaching and public policy. The Hertie School is a vibrant academic community that emphasizes excellence in research and teaching as well as an interdisciplinary perspective. Our school has been certified as a family friendly work environment in higher education and an equal opportunity employer. Severely disabled applicants are given preferential consideration in the event of equal qualification. 

To apply, please submit a cover letter, your CV, and a writing sample, by clicking the 'Apply' button.

Please contact Slava Jankin, Professor of Data Science and Public Policy, for further information about the position.

To learn more about working & living in Germany, please visit: www.jobs.ac.uk/germany

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