The climate needs bright minds. The Potsdam Institute for Climate Impact Research (PIK) addresses crucial scientific questions in the fields of global change, climate impacts and sustainable development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research.
For the research group “Network- and machine-learning-based prediction of extreme events” at the Department of Complexity Science PIK is offering 1 Postdoc and 2 PhD Positions.
The successful candidates will be part of the EU-funded H2020 project “Tipping Points of the Earth System” (TiPES), and will work on synchronization of paleoclimatic proxy records evidencing past abrupt transitions, uncertainty quantification in proxy records, and impacts of past abrupt climate transitions on ecosystems and ancient civilizations . The positions are funded for 3 years. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary group E 13, 100% for the Postdoc (40 hours per week) and 65% for the PhDs (26 hours per week). The position can be filled on a part-time basis.
The TiPES Project:
Several subsystems of the Earth may respond abruptly at critical future levels of anthropogenic forcing, which have been associated with tipping points (TPs). It is paramount to identify safe operating spaces in terms of these critical forcing levels, in order to prevent harmful transitions to alternative, undesirable states of the Earth and its subsystems. The mechanisms leading to abrupt climate transitions are only partly understood, and reliable warning signals for forthcoming transitions are urgently needed. TiPES addresses these questions in a joint effort of 18 European institutions, combining paleoclimatology, time series analysis, Earth system modelling of past and future climates, applied mathematics and dynamical system theory, as well as decision theory.
Key responsibilities:
The successful candidates will be part of work package WP1 of the TiPES project, which focusses on the identification and analysis of abrupt climate transitions in the longterm past. Specifically, the candidates will be expected to work on
- Statistical (e.g. Bayesian) methods to propagate uncertainties in paleoclimatic proxy records,
- Early-warning signals of past abrupt transitions
- Synchronization of transition events in different proxy archives and archeological data
- Impacts of past abrupt transitions on ecosystems and ancient civilizations
- Low-order modelling – incorporating climate, ecosystem, and social processes – to test hypotheses regarding the underlying chains of events
Requirements:
- Master’s / PhD degree in physics, mathematics, meteorology, geosciences or a related field
- Excellent skills in programming and numerical / statistical analysis of simulated and observed data are required
- Experience in advanced methods of time series analysis and statistics is required.
- Basic knowledge of paleoclimatology is of advantage
- Willingness to travel for work (project meetings, workshops, and longer-term research visits) and take part in further training
- High level of competence in oral and written English
For more information please visit the following link:
1 Postdoctoral & 2 PhD Positions, Potsdam Institute for Climate Impact Research, Germany (2019)