The Potsdam Institute for Climate Impact Research (PIK) addresses crucial questions in the fields of global change, climate impacts, energy system transformation, and sustainable development. Natural and social scientists work together to generate interdisciplinary insights that provide a sound basis for decision-making in society and policy. PIK's historic science campus on Telegra-phenberg Potsdam is in 30 minutes commuting distance from Berlin. PIK seeks to increase the number of women in scientific positions.
We are looking for a Regional Climate Data Researcher for managing, analysing and preparing regional climate data for climate impact models and visualization services via web.
In order to provide online solutions of regional climate changes, climate impacts and seasonal predictions for the target countries (Peru, India, Tanzania), available observation datasets and regional climate model simulations within CORDEX will be managed, analysed and prepared for impact models. This position plays a central role within the project and requires both, a good knowledge in scientific data handling and an experienced scientific interpretation of the climate sensitivity and uncertainties. Existing bias between observations and simulations will be identified and adjusted using state-of-the-art approaches. The relevant results will be provided visually for internal data inspection and expert judgement, and be prepared for end user tailored climate visualization services within the target countries.
The work is carried out within the three-year project EPICC which will be funded by the International Climate Initiative (IKI), a program of the Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety of Germany - BMUB.
- You hold a University degree in physics, meteorology, geography or other climate related disciplines.
- You have profound knowledge in the assessment of (regional) climate model simulations.
- You have experiences in using python and scientific data formats (NetCDF).
- You have experiences in handling large datasets and data management.
- You have a strong interest in scientific working across sectors.
- You are highly motivated, goal-oriented and can provide a proof of scientific writing.
- Experiences in working in developing countries (preferably in the target countries Tanzania, India, Peru) are an asset plus willingness to travel to the target countries.
- You have good communications skills and are fluent in oral and written English. Language skills in Spanish are an advantage.
- An inspiring, international, and interdisciplinary work environment in one of the world's leading research institutes on climate change
- High-impact of own research in renowned international journals
- Participation in user driven research projects with international partners
- Insights into international projects with extensive stakeholder engagement
- Opportunities for cooperation with PIK's national and international network of leading cli-mate and agricultural research institutes
- The envisaged starting date for the position is as soon as possible and subject to approval of funding.
- The position will be funded for 3 years.
- Salaries are according to the German public tariff scheme E13 TV-L, 100%.
PIK seeks to increase the share of women in scientific positions and therefore explicitly encourage women to apply. In cases of equal qualification and within the given legal scope, women will be given preference. Applications by persons with a migration background, provided they fulfil the conditions for appointment, are expressly encouraged. Applications of disabled persons with equal qualifications will be regarded favorably. PIK is also encouraging applications by parents returning from parental leave within the availability of financial resources.
Application documents should comprise a letter of motivation including research interests and a publication list, a CV with the contact details of two referees, and a sample of your work (e.g. journal publication).
Closing date for all applications is December 10th 2017.
Please send your documents preferably by email as a single PDF (not more than 15MB) to: firstname.lastname@example.org using the reference subject EPICC_RD2_Data. For any queries regarding the position, please contact Dr. Peter Hoffmann at email@example.com