The Section Hydrology at the GFZ searches for a PhD Researcher to work in the BMBF funded junior research group HI-CliF. You will be a part of the trans-disciplinary junior research group on Health Impacts of Floods, with a specific focus on understanding and modelling physical and mental health impacts of flooding in Germany and Vietnam. The project will be led by Dr. Nivedita Sairam, Section Hydrology, German Research Center for Geosciences, Potsdam and your PhD research will be co-supervised by Dr. med. Caroline Jung-Sievers, Chair for Public Health and Health Services Research, LMU Munich and Pettenkofer School of Public Health. 

We seek a PhD researcher with interest and expertise in health aspects related to flooding, survey organization, statistics, impact modelling and programming. The PhD researcher is expected to work on collecting and analyzing health data related to flooding and on modelling health impacts. 

The successful candidate should have the interest and ability to participate in collaborative and transdisciplinary research activities and discussions in the field of health and risk modelling. The candidate is also expected to closely collaborate with interdisciplinary, external partners, and present, publish and communicate research results at scientific meetings and in Scholarly journals.

Your responsibilities:

• Organise surveys for data collection on the topic flood and health, including development of survey design, questionnaire formulation organizing field work campaigns in Germany and Vietnam
• Analyse survey data using Statistical methods including Machine Learning and Bayesian Statistics
• Develop and apply health impact models related to floods including writing well-documented, reusable code (Python or R)
• Collaborate closely with external partners in a transdisciplinary context
• Actively participate in organizing international Stakeholder meetings, workshops/summer schools, preparation of project reports
• Present, publish and communicate research results at scientific meetings and in scholarly journals (including systematic reviews, meta-analysis)
• Undertake a PhD study (e.g., in the Ph.D. Program - Medical Research in Epidemiology & Public Health, at LMU Munich)
• Deliver according to the project timelines and university/department requirements 
   

Your qualifications:

• Relevant university degree at Master level in Public Health or a related relevant field
• Demonstrated prior knowledge in probability and statistics and statistical programming (R or Python) either in the form of coursework or projects/thesis
• Ability to work independently and with an interdisciplinary team; interpersonal skills to engage with international stakeholders
• Good writing and presentation skills - experience in contributing to the writing of peer-reviewed research articles is an advantage
• Fluent oral and written communication skills in English; German language command is helpful but not mandatory