15 Postdoctoral Fellowship at University of Hamburg, Germany

Duties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications.

The tasks within the project include the computation of higher order QCD corrections to collider observabales and operator anomalous dimensions as well as phenomenology applications with an eye on the Large Hadron Collider LHC and the forth-coming Electron Ion Collider EIC.

Duties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications.

The goal of the Rymax-Quantum-Computer-Demonstrator project is to realize a hybrid quantum computer based on Rydberg atoms in optical traps. This project at the forefront of research is funded by BMBF and is performed in close cooperation with Universität Kaiserslautern, Fraunhofer ITWM as well as high-tech companies and companies from the logistics sector. The successful candidate will have the unique opportunity to realize a next generation quantum computer able to tackle real world problems, e.g. in logistics, working in a highly coordinated team of outstanding scientists from both research and industry with access world class infrastructure.

The position is funded by the ERC Advanced Grant „INSPIRATION: from inspiral to kilonova”. One of the major aims is to explore the “kilonova” emission in the aftermath of a neutron star merger and to understand how it depends on various physical processes and the specifics of the merging system. The project will explore the nucleosynthesis in neutron star mergers and its impact on the electromagnetic signal and it will involve numerical nuclear network calculations. The ideal candidate has some knowledge of general relativity, hydrodynamics, radiative processes and in particular nuclear reactions and reaction networks. 

The postdoc position is financed as part of the ERC Advanced Grant “INSPIRATION: from Inspiral to Kilonova” which aims at the theoretical modeling of the multi-messenger signals of neutron star mergers. The particular focus will be the gravitational wave, electromagnetic and neutrino signals of the sources accessible to today’s and to future gravitational wave detectors. The successful candidate possesses expertise in the relevant areas of theoretical astrophysics (general relativity, hydrodynamics, nuclear equations of state, neutrino physics/transport, nuclear reactions and radiative transfer) and of computational physics/supercomputing. Candidates with demonstrated expertise in the numerical modeling of neutrino transport and/or general relativistic hydrodynamics are particularly encouraged to apply.

Postdoctoral research associates will have their own travel budget and access to excellent computing facilities. Moreover they will profit from the inspiring science environment of and the ample scientific expertise within the Cluster of Excellence “Quantum Universe”, https://www.qu.uni-hamburg.de.

The NFDI4Earth project (https://www.nfdi4earth.de) addresses digital needs of Earth System Sciences. A new, community-driven process is being created within NFDI4Earth, which is supported by about 60 partners. NFDI4EARTH will offer researchers with FAIR, coherent, and open access to all relevant Earth System data, to innovative research data management and to data science methods.

This position offers a unique opportunity to be part of a vibrant community and to pioneer in shaping the national research data infrastructure (NFDI), which will form the backbone of future Earth System Research. It is a team effort by all partners to develop, establish and improve this novel NFDI4Earth infrastructure. You will contribute as scientific programmer – jointly with the team of the Integrated Climate Data Center (https://www.cen.uni-hamburg.de/icdc) – to deliverables of three task areas.

The project “Artificial Intelligence for enhanced representation of processes and extremes in Earth System Models” (AI4PEX) funded by the European Union’s Horizon Europe research and innovation programme aims to deliver enhanced knowledge on the Earth system by integrating Earth’s Observations (EO), Artificial Intelligence (AI), and Machine Learning (ML) into Earth system modelling and analysis towards more reliable climate projections at global and regional scale. In this sub-project, ocean extremes will be studied using high-resolution observations and high-resolution Earth system model (ESM) simulations. ML methods will be employed to bridge the information from different sources of data and ESM.

The focus of this project at Universität Hamburg will be to investigate the individual and compound ocean extreme events and their precursors based on high-resolution ESM simulations and EO-based fields by leveraging ML methods. Thereby a possible focus can be on the coastal ocean extreme to exploit the power of high-resolution observational datasets. Key factors of large-scale/local-scale conditions in modulating the occurrence of extremes will be identified. The effects of anthropogenic forcings in the presence of internal climate variability on extreme distribution patterns will also be studied to facilitate more reliable future projections.

The international collaborative project Welfare State Responses to Social Risks in Times of Climate Change (WELRISCC), funded by CHANSE, investigates how European welfare states address new social risks. In this, it adopts a broad cross-country comparative framework and examines how 16 European welfare states respond to social risks associated with climate change. The project assembles six PIs and eight cooperation partners all across Europe. It is led by Katharina Zimmermann. The advertised position is for a research associate who will work with her on the project and will be responsible in supporting the scientific project management of the international collaborative group. Main responsibilities hence concern deadline management, event organization, the organization of a large comparative survey, and the organization of country case studies. Furthermore, you will be communicating with the project’s partners from civil society (ETUI and CEE Bankwatch). Further responsibilities lay in exploiting the gathered data from a comparative perspective. The position does not foresee responsibilities in own empirical data collection, but own research can be conducted based on data gathered in the project.

The offered position will complement current research foci of the chair by developing a strong research agenda on the functional ecology of temperate, tropical or boreal trees and forests under climate change. The successful candidate will focus on one or more of the following areas: Ecophysiology, dendrochronology, experimental plant ecology, climate impact research. Critical challenges for forests under climate change will be addressed, e.g. by exploring the interaction between tree functional traits and biogeochemical cycles. Collaboration in ongoing research projects of the chair is desired, the acquisition of own third-party funding is expected. The University of Hamburg provides for this an inspiring, dynamic, and international academic environment and an outstanding platform for the career development of postdoctoral researchers.

Research associates will be expected primarily to teach and conduct research. The research associate will also have the opportunity to pursue further academic qualifications, in particular a doctoral dissertation. At least one-third of set working hours will be made available for the research associate’s own academic work.

The focus of this position is on modern macroeconomic research and teaching, with an emphasis on providing methodological training to students. The teaching load is three hours per week per semester. Research is expected to concentrate on topics in dynamic macroeconomic theory, fiscal and monetary policy, heterogeneous agent models, financial markets, or stochastic processes (with an emphasis on macroeconomic applications). The research agenda should align with the chair’s focus on the interaction between fiscal policy, central banks, and financial markets.