17 Postdoctoral Fellowship at University of Hamburg, Germany

The group studies the formation of growing supermassive black holes (SMBHs) and their subsequent evolution in the early Universe. We aim to understand the processes by which SMBHs form, how they grow to their observed masses and how they influence the evolution of their host galaxies. Furthermore, we use actively growing SMBHs – quasars – as probes of the cosmic large-scale structure and the physical evolution of the intergalactic medium. In order to address these science questions we use wide-area photometric surveys to discover new quasars at high redshift (using Euclid, LSST, data mining, machine learning, spectroscopy), conduct follow-up observations to characterise them (with optical, near-infrared, and sub-mm observations, spectroscopic modelling) and analyse their demographics (e.g., luminosity function, mass function using statistical inference). We are looking for a PhD student with a keen interest in these topics and the high redshift Universe in general.

The group studies the formation of growing supermassive black holes (SMBHs) and their subsequent evolution in the early Universe. We aim to understand the processes by which SMBHs form, how they grow to their observed masses and how they influence the evolution of their host galaxies. Furthermore, we use actively growing SMBHs – quasars – as probes of the cosmic large-scale structure and the physical evolution of the intergalactic medium. In order to address these science questions we use wide-area photometric surveys to discover new quasars at high redshift (using Euclid, LSST, data mining, machine learning, spectroscopy), conduct follow-up observations to characterise them (with optical, near-infrared, and sub-mm observations, spectroscopic modelling) and analyse their demographics (e.g., luminosity function, mass function using statistical inference). We are looking for a postdoc interested in these topics. Candidates in all areas of observational astronomy and extragalactic astrophysics are encouraged to apply.

The Department of English at the University of Hamburg is seeking a Research Associate to join a team of researchers in the project “Young German Learner English: Complexity, Accuracy, and Fluency”, led by the Universities of Bamberg, Freiburg and Hamburg and funded by the German Research Foundation. This project will provide an applied analysis of the development of L2 English among school students from grades 5 to 12 at secondary schools across Germany, responding to an urgent need for more empirical data on how English is learned in German schools. To this end, we will compile a corpus of spoken and written language elicited from school students, analyse this data and explore interactions with contextual and socio-cognitive factors (such as motivation, social status). The project will provide important insights for teacher education and the design of textbooks.

The activity includes the scientific collaboration in the third party funded project “RESISTANT: Resilient Zero-Trust Avionics Platform supported by Digital Security Twins and Aircraft-SOCs”. The focus is on the development of a novel communication and processor platform for embedded mission-critical networks at the examples of avionics. 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.

Own research is supported, but has to fall in the bigger scope of network and IT security. Time is allocated to develop an individual academic research profile. It is expected that the research associate supervises students on bachelor and master level. Research is conducted within an international team and with German and international partners. Teaching duties include four academic hours per week during teaching periods (two times 14 weeks per year).

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.

The Department of English at the University of Hamburg is seeking a Research Associate to join a team of researchers working on an interdisciplinary project, funded through the Cross-Disciplinary Labs initiative, titled “Predicting COVID-19 Vaccination Uptake from Public Discourse: A Machine Learning Approach”. In this project, we will explore the relationship between public discourse and COVID-19 vaccination uptake and how to use real world data from Germany and England to track public opinion on COVID-19 vaccination, with the ultimate aim of identifying strategies to increase the uptake of COVID-19 vaccinations. The analysis will apply big data and machine learning techniques to Twitter data and will link these to information on local vaccination rates. From a policy perspective, the output of this project will inform public health responses in real time in future pandemics. At the heart of the project is an interdisciplinary approach, combining health economics and linguistics with new methods from data science.

Are you enthusiastic about visualizing data? Are you enthusiastic about computer graphics and data science? Would you like to contribute to advancing computer methods and open-source research software for improving weather and climate research? In the Visual Data Analysis group, we are investigating novel data visualization methods to improve data analysis and communication in the atmospheric and climate sciences. This advertised position is embedded in the German collaborative research centre “Waves to Weather” (W2W; https://www.wavestoweather.de/). The objective of the research is the investigation of novel visual data analysis techniques for feature-based ensemble analysis in atmospheric research and weather forecasting. The methods will enable interactive visual analysis (IVA) of large and complex spatio-temporal datasets from numerical weather predictions with our open-source visualization framework “Met.3D” (https://met3d.wavestoweather.de/). You will advance analysis techniques for dynamical processes in the atmosphere by means of feature‑based 3D-IVA, for rapid and comprehensive exploration of individual gridded data sets and for characterization of differences between data sets and of variability in ensemble data sets. You will work at the exciting intersection of computer science and meteorology in an interdisciplinary environment. You will closely collaborate with W2W project partners to facilitate future meteorological research. At Universität Hamburg, you will be integrated into the Visual Data Analysis Group and closely collaborate with other group members.

One of the current biggest challenges of our society is the future supply of energy and basic chemicals based on renewable resources. A sustainable and adaptable availability of energy resources forms the basis for an advanced industrial society of the future. The Albert research group, in close collaboration with industrial and academic partners, focuses on substituting fossil-based basic chemicals with chemical feedstocks derived from renewable resources. To strengthen our scientific team, we are seeking a committed and highly qualified candidate with a PhD in Chemical Engineering, Process Engineering, or Technical Chemistry. The main research activities will revolve around the technical management of our laboratory and pilot plant facilities in the field of oxidation and hydrogenation chemistry. Preference will be given to application-oriented projects conducted in collaboration with industrial partners or international research institutions. Responsibilities will include conceptualizing, building, and commissioning high-pressure reaction systems, as well as ensuring the safe operation and supervision of fully continuous miniplants. This entails conducting relevant safety considerations and providing training and guidance to scientific and non-scientific personnel in the safe handling of complex technical processes. In the teaching domain, the emphasis will be on supervising and organizing technical laboratory courses, independently conducting exercises, and supervising bachelor and master theses. Specifically, this will involve managing courses for advanced students in the Master’s degree programs in Chemistry at Universität Hamburg and in Process Engineering at TUHH (Technical University of Hamburg).