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.

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 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.

We contribute to the MADMAX experiment, and we play a leading role in exploring uncharted parameter space in the μeV range (corresponding to GHz frequencies) using a dielectric haloscope system. The successful candidates will be involved in all relevant experimental aspects of realising, calibrating and operating a dielectric holoscope and in the data analysis. They will learn and experience a broad range of radio-frequency (RF) detection and simulation techniques and skills. The positions will be located in Hamburg, however, travel at international research facilities, e.g. CERN and CPPM in Marseille, is foreseen.

Doctoral research associates will become members of the Quantum Universe Research School (QURS), which provides academic and soft skills training, as well as career planning support. In addition, they will receive individual budgets to facilitate the attendance of summer schools and conferences, and to support other educational measures. Additional travel money for project-specific duties will be provided by the hosting research groups. Doctoral research associates may participate in teaching at the University and in the organization of the Cluster via an early career council.

The activity includes the scientific collaboration in the third party funded project “SOVEREIGN: Technologisch souveräne Security-Monitoring- und Cyber-Defense-Plattform für kritische und komplexe Infrastrukturen“ (technological sovereign security monitoring and cyber defense platform for critical and complex infrastructures). The focus is on the development of a collaborative and privacy-friendly platform for the detection and defense of attacks on critical and complex infrastructures. Together with other project partners, this platform will be designed, implemented, analyzed, and evaluated. In addition, the position holder will continuously contribute to the publication and presentation of research and project results. As a research-intensive department, our research results are also directly incorporated into teaching.

• independent research in the field of empirical health economics or empirical industrial organization
• participation in the research program of the Department and HCHE: presenting at seminars, hosting visiting researchers, mentoring junior members of the team, joining relevant third-party funding applications
• support for teaching in bachelor’s and master’s programs (teaching obligation amounts to 5 LVS)

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

You will be responsible for developing hardware relevant quantum optimal protocols for quantum state preparation and initialisation based on tensor decomposition, quantum gate and quantum state optimization including error mitigation and application to NISQ setups.

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

The core research question of project M2 is how do resolved and unresolved scales in discrete modeling approaches interact and how can these interactions be represented in a mathematically consistent, quantitatively correct and numerically stable way?

To this end M2 project participants will integrate mathematical analysis, numerics, and data-driven approaches such as machine learning to advance ocean parameterisations.

Research associates may also pursue independent research and further academic qualifications.

• responsibility for up to three ultracold atom experiments, including a lithium quantum gas microscope and a cryogenic ytterbium tweezer experiment
• performing experiments/measurements/calculations
• literature research
• data evaluation
• writing of publications, participation in conferences
• training on the experiments at the University of Virginia (subject to feasibility)
• instruction of, discussion with and knowledge transfer to other group members
• teaching of four teaching hours per week during teaching times (4 LVS) in the period from as soon as possible until 31.12.2025; teaching of three teaching hours per week (3 LVS) in the period from 01.01.2026 for the remaining time

The Signal Processing (SP) research group of the University of Hamburg, http://uhh.de/inf-sp is known for cutting-edge research on Statistical Signal Processing and Machine Learning for speech signals. Applications include assistive listening devices (earbuds, hearing aids, cochlear implants), voice-controlled assistants (smart speakers, smart phones, robots), and virtual meetings. The specific duties of the research associate are

• research on novel data science and artificial intelligence methods applied to speech signals
• the participation in the acquisition and scientific supervision of third-party funded projects
• publication and dissemination of scientific results
• support and assistance with organizational and administrative tasks during the start-up phase of the new study program “Data Science and Artificial Intelligence”
• the position includes the responsibility to teach 4 hours/week (4 LVS) in the computer science department