Green hydrogen is key to decarbonizing many hard-to-abate sectors, but it is not yet economically viable in most cases. This postdoc position investigates the impact of different financing schemes (e.g., public, private, blended) on the feasibility of green hydrogen by use case. Beyond the economic feasibility, a particular focus of this position will lie on the evaluation of different development pathways when deploying green hydrogen infrastructure, depending on the geographical and economic context. It will include a deep dive on the potential of Ukraine to become a green hydrogen hub, leveraging geo-spatial energy models run by project partners. As such, this position contributes directly to the strategy of rebuilding the Ukrainian energy infrastructure and it develops financing options to scale green hydrogen around the world. Project partners include the University of Oxford, Imperial College London and Ukrainian and British policymakers.

We are offering one postdoc position to a highly motivated researcher with a background in geography and urban ecology with experience in modeling, GIS and data synthesis. Their work will determine how urban features drive species diversity, how species diversity and urban features are represented in soundscapes and how these relate to human health and wellbeing. They will use modeling approaches to combine natural and social science data. You will focus on developing and implementing mixed modeling approaches to test pathways through which structure–biodiversity relationships are linked to acoustic comfort–restoration outcomes. The models will integrate spatially-explicit structural complexity variables, landscape imperviousness variables, biodiversity (songbird) variables, and human restoration variables. We aim to produce maps of model predictions based on biodiversity indices, restoration variables in relation to urban green and built infrastructure.

The working researchers at the newly established Professorship of Energy Management Technologies are focusing on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems coordinate distributed renewable generation like solar and wind, flexible loads like heat pumps and electric vehicles, and distributed energy storage like stationary batteries and hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation of existing systems, extensive simulation-based analyses, as well as the implementation and validation of algorithm and system designs in real world settings.

We are looking for an outstanding and highly motivated applicant to join our team at MIRMI to pursue the research and development of safe and robust remote robot controllers for our tele-surgical platform. The system consists of three robot arms on the patient site and two haptic consoles on the surgeon site. The ultimate goal is to develop a highly visio-tactile transparent tele-surgical platform that benefits from the next generation of communication protocols. The performance of communication channels in remote surgery and associated control issues are studied. The controller needs to be robust and fault-tolerant, and handle the possible jammings in the communication to maintain the continuous operation of robots. The proposed approaches are implemented in our tele-surgical platform as well as other available industrial platforms. Along with this research, we would like to exploit high-bandwidth and low-latency communication networks to transfer essentially part or all of resource-intensive planning, learning and control computation to the edge and beyond. This transfer will allow the robots to be significantly lighter, more modular, and more energy efficient.

The position stems out of the large scale 6G-life project ( https://6g-life.de/ ) and will give you a unique opportunity to work in the field of robotics that operate with 6G communication technologies for both healthcare and industrial settings . Additionally, the methods and findings developed throughout this work will be scalable and applicable to other research projects in MIRMI. You will work closely with supervisors and researchers from MIRMI (in both Munich and Garmisch-Partenkirchen Campuses) and report the system design and developments to our project officers and founders. The research findings are expected to be published in leading journals and conferences in the robotics community.

Teaching duties include independent supervision of the university internship PNSS (Numerical Flow Simulation Internship) and holding exercises in the subjects “Fundamentals of Numerical Fluid Mechanics” in the BSc Mechanical Engineering and “Vector/Tensor Calculus and Balance Equations” in the BSc Engineering Sciences as well as participation in examinations.

The department develops methods for the numerical prediction of flow noise and applies them to specific cases (sound generation from the flow around obstacles in ducts and pipes and from propellers in multicopter configurations). Your research task is the further development and application of high-resolution Navier-Stokes solution methods (DNS; LES) for source term prediction in conjunction with sound prediction using LEE or LPCE in a hybrid CFD/CAA method and the validation of the results by comparison with measurements and mode-locking approaches.

Are you passionate about science? Full of ideas and innovative potential to drive change? Do you see yourself working in an international fast-paced, highly competitive, scientific environment? If you are motivated by the societal impact of science and technology, if you seek an opportunity to play an active role in the development of emerging technologies for biology and healthcare; then, the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM), and its integrated Institute of Biological and Medical Imaging (IBMI) at the Helmholtz Zentrum München (HMGU), Germany, is the ideal environment for you!

At CBI we are now looking for a highly qualified and passionate PhD candidate (f/m/d) to drive the development of non-invasive biosensing by means our unique label-free molecular detection technology.

CBI is the cornerstone of a rapidly expanding bioengineering ecosystem in the Munich science area; including the Research Center TranslaTUM and the Helmholtz Pioneer Campus, which integrate bioengineering with oncology and metabolic disorders, respectively. CBI scientists develop next-generation imaging and sensing methods to measure previously inaccessible properties of living systems, hence, catalyzing breakthroughs in biology and medicine. Comprising 11 inter-disciplinary laboratories with scientists from more than 25 countries, CBI offers state-of-the-art infrastructure for innovative research and a perfect environment to accelerate your career. Our research aims to shift the paradigm of biological discovery and translation to address major health challenges of our time and to develop the medical solutions of tomorrow.

Join our team and be part of our rich and dynamic research culture of inquiry and innovation. CBI comes researchers from the top ranks of physics, engineering, chemistry, biology, and medicine-frequently yielding to high-impact papers, successful technology spin-offs, and commercialization. Furthermore, our studies are regularly featured in major news channels and have received broad recognition including several prestigious awards as well as considerable research funding from national and international sources.

The Institute for Artificial Intelligence in Medicine, directed by Professor Daniel Rueckert, focuses on AI and ML approaches for medicine and healthcare (www.aim-lab.io). Our aim is to develop AI and ML techniques for the analysis and interpretation of biomedical data. The group focuses on pursuing blue-sky research, including:

• AI for medical imaging applications ranging from image reconstruction to analysis and interpretation
• AI for the early detection, prediction and diagnosis of diseases as well as for the identification of new biomarkers and targets for therapy
• Safe, robust and interpretable AI approaches as well as privacy-preserving AI approaches.

We have particularly strong interest in the application of imaging and computing technology to improve the understanding of brain development, to improve the diagnosis and stratification of patients with dementia, stroke and traumatic brain injury as well as for the comprehensive diagnosis and management of patients with cardiovascular disease and cancer.

We are based in the School of Medicine and Health at the Campus Klinikum Rechts der Isar (which is the university hospital of TUM) as well as in the School of Computation, Information and Technology at the Campus Garching. Our lab is affiliated with several machine learning initiatives in Munich, including the Munich Center for Machine Learning (MCML), the European Laboratory for Learning and Intelligent Systems (ELLIS Munich) and the Munich Data Science Institute ( MDSI ).

Located in the capital of Bavaria and home to over 52,000 students, the TUM can be found among the world’s top universities and home to one of the most vibrant environments in Additive Manufacturing (AM), committed to excellence in research and teaching, interdisciplinary education, and the active promotion of promising young scientists. Munich benefits from the healthy mix of AM companies and startups of all sizes headquartered in the region. The Professorship of Laser-based Additive Manufacturing is part of the TUM School of Engineering and Design and combines basic research with application in order to shape the still-young AM environment. We seek a highly motivated research associate who can work independently and participate creatively in collaborative teams.

The circular economy is becoming increasingly important, and more and more companies are dealing intensively with this topic. A central element of the circular economy is the development of circular value chains. There is still great potential in the development of such sustainable and circular value chains of the future, especially with regard to networked and intelligent structures and processes as well as the use of digital technologies.

In addition to very good written and spoken German and English skills, you have an above-average degree in business administration, industrial engineering or another master’s degree program relevant to the topic of circular value chains. Knowledge in the application of empirical methods and experience in the sustainability management of value chains are desirable.

If you are hired as an employee, you will be paid according to the TV-L salary scale. Severely disabled people will be given preference if they have the same suitability and qualifications. The university aims to increase the proportion of women. Qualified women are therefore strongly encouraged to apply.

The Institute for Machine Tools and Industrial Management (iwb) at the Technical University of Munich is one of the largest production technology institutes in Germany. The main topics include production and logistics, machine tools, assembly technology and robotics, battery production, sustainable production, additive manufacturing and laser technology. The scientific staff of the iwb work in these fields in research, teaching and industry transfer with the aim of obtaining a doctorate.

The Chair of Psychology & Digital Mental Health Care in the School of Medicine & Health (headed by Prof. Dr. David Daniel Ebert) is concerned with the research of mental illnesses and their prevention and treatment at the interface between clinical and health psychology research. One focus of the chair is on the development, establishment and evaluation of psychological and psychotherapeutic interventions (web applications, apps) for mental health promotion, prevention and treatment of mental disorders. The focus is on the evaluation of effectiveness, mechanisms, moderators and cost-effectiveness in the context of clinical studies and meta-analyses (of individual patient data). In addition, the implementation of innovative treatment methods in standard care is sought and scientifically supported with partners from industry. The working group works in close cooperation with a cooperation cluster of national and international research institutes, service providers, service providers and public policy representatives.

The aim of our group is to improve the understanding of the trade-offs between production, mitigation and conservation in livestock-based systems, and to identify innovative mechanisms for landscape-level management. Our group combines empirical work (with experiments in the field and in the lab) and modeling techniques. The focus of this postdoctoral position is the generation of empirical datasets for livestock systems in contrasting sites around the world. The research program will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct experiments in the field to understand how grazing influences grassland productivity and their stability, aiming to detect indicators of early restoration success. This work is conducted in collaboration with various partners in Europe, such as Lancaster University in the UK, the Argentinean National Research Council (CONICET) and the International Livestock Research Institute (ILRI), based in Kenya.
Your tasks:
will be to design and conduct experiments at various scales from laboratory manipulations of animal-plant-soil systems including controlled experiments under varying environmental conditions, to large field-scale experiments with wild and domestic grazers. These experiments will test hypotheses related to the effects on nutrient cycling of grazers with different body size and grazing habits and duration of grazing. You will collaborate with data scientists to integrate empirical and novel evidence to improve the understanding of functioning of grasslands, producing novel data for the tropics and sub-tropics.

At the Chair of Educational Monitoring and Effectiveness and the Center for International Educational Comparative Studies (ZIB) eV of the TUM School of Social Sciences and Technology, we are looking for a Postdoc (m/f/d) PISA Postdoc (m/f/d) in EU project

The professorship of Educational Monitoring and Effectiveness deals with individual, school and systemic aspects of educational success. She heads the ZIB Munich location, which is responsible for the scientific implementation of the international educational monitoring study PISA in Germany.

The Chair of Concrete and Masonry Structures at the Technical University of Munich (TUM) is a leading research institute in the field of reinforced concrete, prestressed concrete, and masonry structures. Its research activities span a wide range of topics related to innovative construction and materials, tunnel, bridge, and masonry construction, connection and reinforcement technology, additive manufacturing, and monitoring, evaluation, maintenance, conversion, and reuse of existing concrete structures. Located in Maxvorstadt, in the heart of Munich, the institute has a large test laboratory with high-performance equipment, measurement technology and special test facilities. 

Combining excellent research with excellent teaching is our goal at TUM. TUM is once again a “University of Excellence” and the only technical university to have held this title continuously since 2006. The award is part of the Excellence Strategy of the German Federal and State Governments, which aims to strategically support German research at the highest international level. As one of the largest engineering departments at the TUM School of Engineering and Design, we actively contribute to this success through innovative research with interdisciplinary approaches and practice-oriented teaching. 

The role involves conducting wet lab experiments to generate data essential for modeling the kinetics of MZ B cells. This is a collaborative project with renowned international experts, including Dr. Dr. Sanket Rane (Columbia University, NY) specializing in mathematical modeling, Prof. Benedict Seddon (University College London) focusing on lymphocyte development and homeostasis in bone marrow chimeras, and Dr. Ursula Zimber-Strobl (Helmholtz Center Munich) working on Marginal Zone B cell development. Regular interactions with these collaborators will occur through monthly videoconferences, annual in-person meetings, and lab exchanges.

We are seeking a talented individual to join the TUM Bioseparation Engineering group as a Research Associate (PhD/PostDoc) for digitalization and automation in bioprocessing. The successful candidate will develop and implement state-of-the-art digitalization platforms for upstream and downstream bioprocesses, integrating data-driven and mechanistic models for enhanced process control. You will work on the integration of advanced process control systems and automation strategies, and contribute to the development of hybrid models that merge mechanistic understanding with data-driven approaches to improve predictive capabilities in process control. Collaboration in interdisciplinary research projects, contributing to high-impact publications, and presenting findings at leading scientific conferences are also expected.

Applicants should hold a university degree in chemical/process/mechanical engineering, automation, bioengineering, biotechnology, biomanufacturing, or related fields. Experience in process automation, digitalization, and control system integration is highly desirable. Proficiency in programming, data analytics, and the use of digital platforms will be an advantage. Strong communication skills in English are required, with knowledge of German being beneficial but not mandatory. A passion for innovation and developing new methodologies for biomanufacturing is essential.

At TUM, we offer an exciting international environment and a very well-equipped workplace. You will benefit from various further education opportunities (TUM Institute for LifeLong Learning, TUM Language Center), public sector pension provision, annual payments special, and TUM health offers, including university sports. The position is full-time according to TV-L, depending on qualifications and personal suitability, and is initially limited to 2 years.

The position is suitable for people with severe disabilities. Severely disabled applicants will be given preference if they essentially have the same qualifications, abilities, and professional performance. TUM aims to increase the proportion of women in research and welcomes applications from women.

We are looking for a talented individual to join the TUM Bioseparation Engineering group as a Research Associate (PhD/PostDoc) for ultra- and diafiltration process optimization in bioprocessing. The successful candidate will lead research on scaling and optimizing filtration processes, focusing on process automation with advanced models. You will integrate analytics to monitor critical process parameters and utilize hybrid models to inform process optimization. Additionally, you will develop mechanistic models as part of a hybrid approach to improve the predictability and efficiency of filtration processes in biomanufacturing. Collaboration with interdisciplinary teams and contribution to high-impact scientific publications and conference presentations are expected.

Applicants should hold a university degree in (bio)process engineering, bioengineering, biotechnology, biomanufacturing, or related fields. Expertise in membrane filtration, process optimization, and advanced data analysis techniques is required. Proficiency in modeling and simulation tools is essential, and experience in hybrid modeling approaches is an advantage. Strong communication skills in English are required, with knowledge of German being beneficial but not mandatory. A passion for innovation and developing new methodologies for biomanufacturing is essential.

At TUM, we offer an exciting international environment and a very well-equipped workplace. You will benefit from various further education opportunities (TUM Institute for LifeLong Learning, TUM Language Center), public sector pension provision, annual payments special, and TUM health offers, including TUM university sports. The position is full-time according to TV-L, depending on qualifications and personal suitability, and is initially limited to 2 years.

The position is suitable for people with severe disabilities. Severely disabled applicants will be given preference if they essentially have the same suitability, ability, and professional performance. TUM aims to increase the proportion of women in research and welcomes applications from women.

We look forward to receiving your meaningful documents (including cover letter, CV, and all relevant certificates). Please send your application, quoting the keyword “Filtration,” by email to: s.berenmeier@tum.de.

We are seeking a talented individual to join the TUM Bioseparation Engineering group as a Research Associate (PhD/PostDoc) for reaction optimization of mRNA-based therapeutics. The successful candidate will conduct pioneering research on reaction optimization tailored for new mRNA-based therapeutics. You will integrate state-of-the-art analytics and hybrid modeling approaches to enhance process understanding and control, focusing on critical reaction parameters. The role also involves developing innovative strategies for enzyme and template reuse, utilizing advanced techniques such as magnetic separation and immobilization to maximize process efficiency and sustainability. Additionally, you will collaborate in a dynamic research environment, contributing to high-impact publications and presentations at leading scientific conferences.

Applicants should hold a university degree in bioprocess engineering, bioengineering, biotechnology, biomanufacturing, or related fields. Knowledge of enzymatic reactions, advanced bioprocess analytics, and modeling techniques is highly desirable. A passion for innovation and developing new methodologies for biomanufacturing is essential. Strong communication skills in English are required, with knowledge of German being an advantage but not mandatory.

At TUM, we offer an exciting international environment and a very well-equipped workplace. You will benefit from various further education opportunities (TUM Institute for LifeLong Learning, TUM Language Center), public sector pension provision, annual payments special, and TUM health offers, including university sports. The position is full-time according to TV-L, depending on qualifications and personal suitability, and is initially limited to 2 years.

The position is suitable for people with severe disabilities. Severely disabled applicants will be given preference if they essentially have the same qualifications, abilities, and professional performance. TUM aims to increase the proportion of women in research and welcomes applications from women.

TUM’s new Computational Pathology and Medical Machine Learning lab (*2021) develops methods of machine learning (ML) and artificial intelligence (AI) for the analysis of digital pathology images and related medical data in order to detect, segment and quantify diseases such as cancer. Further applications are the discovery of new biomarkers and the prognosis of outcome for patients. For modeling, we use both public and proprietary clinical and research data and generate our own repository of digital pathology images. A further focus of our lab is the improvement of digital pathology workflows and integrations in complex hospital systems to foster equivalency, efficiency and adoption of digital pathology. Our lab is located in the heart of Munich at the Klinikum Rechts der Isar (MRI), and is affiliated with the TUM School of Computation, Information and Technology (https://www.cit.tum.de/), the TUM School of Medicine and Health (https://www.mh.tum.de/), and the Munich Data Science Institute (https://www.mdsi.tum.de/).

The Electric Vehicle (EV) Lab of the Institute of Automotive Engineering addresses topics related to electric mobility in three teams – from powertrain components such as the high-voltage battery to vehicle design and the integration of vehicles into mobility and energy systems. We improve the efficiency, sustainability and economics of electric vehicles by optimizing and accelerating the integration of components up to complex mobility systems through practical and laboratory tests as well as sophisticated simulations. We not only publish research results gained at numerous conferences and in journals, but also make our software available in open source to continuously expand the state of the art.

 You will develop material models for concrete, dive into computational homogenization, improve modern, unconventional simulation methods, and come forth with your own ideas on how to simulate the process of additive manufacturing. • You will publish research findings and participate in national and international conferences. Your Qualifications • You have a degree (Master’s or equivalent) in Civil Engineering or Mechanical Engineering with a strong focus on continuum-solid mechanics and computational methods. • You have experience in and like coding. In this project, Julia and C++ will be utilized. • You have experience in and like implementing Finite Element routines. • You have very good English language skills. German language skills are of advantage. • You are flexible, can perform under pressure and work well in a team. • You are aiming for a doctorate.

The Technical University of Munich is located in the south of Germany and is one of the most renowned technical universities in Germany with top positions in research and teaching. Our highly qualified students are responsible for our outstanding position as a recognized university in the field of natural sciences and engineering.

Our professorship for “Electrobiotechnology” ( https://ebt.cs.tum.de/en/ ) focuses on the development of polymers that serve as multifunctional matrices for redox-active enzymes in bioelectrocatalytic reactions. Our polymers and biocatalysts are at the heart of sustainable energy conversion processes such as in hydrogen fuel cells and electrolyzers. Electrochemistry enables the exploitation of catalytic performance in applications in the field of sustainability. We work closely with various institutions and companies from all over the world, especially from France, Denmark, the UK and Germany.

The Technical University of Munich is located in the south of Germany and is one of the most renowned universities of technology in Germany with top rankings in research and teaching. Our highly qualified students are responsible for our outstanding position as a university that is recognized in the areas of science and engineering.

Our Professorship for “Electrobiotechnology” ( https://ebt.cs.tum.de/en/ ) concentrates on the development of polymers that serve as multifunctional matrices for redox-active enzymes in bioelectrocatalytic reactions. Our polymers and biocatalysts are at the heart of sustainable energy conversion processes such as hydrogen fuel cells and electrolyzers. Electrochemistry forms the principal component of assessment of catalytic performance, in applications on sustainability. We work closely with various institutions and companies from all over the world, especially France, Denmark, the UK, and Germany.