Are you holding Master’s degree and ready to elevate your academic journey to the highest level? Technical University of Munich, Germany, has announced a multiple fully funded PhD positions awaiting talented individuals like you. Don’t miss your chance to be part of our vibrant academic community. Explore the exciting PhD positions available and submit your application today!”
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible.
(01) Fully Funded PhD Position
PhD position summary/title:–Doctoral position: Research assistant (m/f/d) in the area of Enterprise Software Engineering and IT Service Management
The Wittges research group at the Chair of Information Systems and Business Process Management (I17) at the Technical University of Munich is looking for research assistants as soon as possible for the “SAP University Competence Center” (SAP UCC) project, working in the area of enterprise software with a focus on business process management / software engineering / IT Service Management (ITSM) want to pursue a doctorate.
The SAP University Competence Center (UCC) operates over 200 SAP systems that are used in research and teaching by educational institutions worldwide. The UCC cooperates with renowned practice partners such as: B. SAP SE and IBM.
Deadline : Open until filled
(02) Fully Funded PhD Position
PhD position summary/title:–Doctoral position: Computer-aided investigation and development of ammonia dual-fuel combustion processes
The Professorship for Sustainable Future Mobility is part of the Department of Aerospace and Geodesy at the TUM School of Engineering and Design. The professorship primarily develops novel drive systems for the transport sector. These include combustion systems for Sustainable Aviation Fuels (SAF) and hydrogen in aviation, Hyperloop technology and the use of ammonia in shipping. Furthermore, the explosion safety of hydrogen and coolants with the lowest climate impact is being investigated. The principles of technical thermodynamics are applied as an integral part of research and teaching, supported by elements of fluid mechanics, heat and mass transfer, acoustics and chemical reaction kinetics.
Their work aims to contribute to the decarbonization of shipping and to strengthen Germany as a business location in terms of technology leadership in the industry. This includes the processing of industry-relevant research projects in the area of developing a demonstrator full engine with modularized fuel system technology for operation with regeneratively produced ammonia as a marine fuel. Specifically, the required basic knowledge on the combustion of ammonia and numerical modeling using 3D CFD is to be further developed and the transition from basic investigations to the application of ammonia dual-fuel combustion processes in medium-speed large engines is to be spearheaded. Participation in everyday academic life and in the supervision of university teaching is also desired.
Deadline : Open until filled
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(03) Fully Funded PhD Position
PhD position summary/title:–PhD research fellow on the topics of Family Enterprise, Responsibility & Branding
The German economy and society are strongly influenced by family businesses and their owners. According to estimates by the Family Firm Institute, family businesses provide more than half of the jobs in Germany. More than 50% of Germany’s economic power is generated by entrepreneurial families. The EQUA endowed Chair for Family Enterprises at TUM School of Management explores the unique culture of family businesses and pays special attention to the entrepreneurial and social activities of business families. Thereby responsibility and sustainability related research questions take center stage. The new PhD position will explore the branding and communication of family firms in the context of corporate social responsibility.
Deadline : Open until filled
(04) Fully Funded PhD Position
PhD position summary/title:–Doctoral Researcher in Aircraft Design Software Engineering
How may novel technologies influence new aircraft configurations to enable a sustainable aviation system? The quest for climate-friendly aviation will lead to radically different future aircraft. To find promising combinations of technologies by using adequate analysis and simulation tools, the TUM Chair of Aircraft Design is engaged in the software development of the open source cross-university UNICADO framework. As we strive to push the boundaries of aerodynamics, fuel efficiency, and overall performance while ensuring easily extendable software, the demand for innovative software solutions becomes increasingly crucial. Therefore, the challenge lies in developing robust and efficient programs that can simulate, among others, different propulsion architectures or systems integration, ultimately contributing to creating more efficient and environmentally sustainable aircraft. While enabling profound aircraft concept solutions in reserach the framework should also allow the use in teaching courses to improve the understanding of the interdisciplinary character of aircraft design.
Deadline : Open until filled
(05) Fully Funded PhD Position
PhD position summary/title:–PhD position in Membrane Protein Structural Biology (65% TV-E13 pay scale)
We are seeking a new team member at the Lab of Structural Membrane Biochemistry. We are based at the Bavarian NMR Center of the Technical University of Munich and the Helmholtz Center Munich, which houses state-of-the-art NMR equipment (500-1.2 GHz), as well as wet-lab and other biophysical facilities (CD and fluorescence spectroscopy, light scattering, calorimetry, mass spec, small angle X-ray scattering). X-ray crystallography and electron microscopy labs are located next door and are accessible. Further information can be found at: www.bio.nat.tum.de/membrane and www.bnmrz.org.
The successful candidate is expected to be highly motivated and work in project teams, be familiar with recombinant production and purification of (membrane-) proteins in E. coli. Knowledge in biophysical techniques for the characterization of (membrane-) proteins as well as experience in NMR and/or other structural techniques is a plus.
The research topic is focused on the mitochondrial membrane protein MPV17 whose inactivation leads to the so-called “mitochondrial DNA depletion” syndrome (MDDS), leading to severe liver damage and hepatocerebral dysfunction, and thus usually to death in early infancy. The function and mechanistic details of MPV17 are relatively poorly understood, limiting therapies to the treatment of symptoms. In this project, we aim to better understand the molecular causes of MPV17-related diseases. We will use various analytical and biochemical methods to decipher the functional role of MPV17 and investigate its structure using high-resolution methods, such as NMR and cryo-EM. With the obtained structural information, the influence of mutations on MPV17 function can be better understood, which will be the basis for a specific therapy of MPV17-induced MDDS.
Deadline : Open until filled
(06) Fully Funded PhD Position
PhD position summary/title:–PhD position in water-based in-space propulsion (m/f/d)
The EIC-funded research project ‘Solar for Ice-to-Thrust’ (S4I2T), with TUM in the leading role, aspires to advance (self )sustainable space mobility and consequently develop and demonstrate a water-based propulsion system and infrastructure. Goals of the project are lab demonstrations of an end to end in-situ-resource-utilisation (ISRU) process (turning icy regolith into thrust) and an AI-based autonomous docking and water transfer of two CubeSats. These worldwide unique demonstrations shall pave the way for a more efficient, cost-effective and eco-friendly space mobility infrastructure and enable economically viable in-orbit servicing such as spacecraft assembly, refilling or active debris removal.
This PhD position investigates multiple aspects of this endeavour by theoretical and experimental means. This includes systemic studies and trade-off analyses of broader infrastructure considerations and options, as well as derivation of requirements, development and testing of a water-based attitude control system and fluidic interface hardware for the specific CubeSat docking scenario at hand. The work will be carried out in close collaboration and coordination with partners across Europe as well as between two chairs at TUM with several PhD positions working on the project
Deadline : Open until filled
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(07) Fully Funded PhD Position
PhD position summary/title:–Ph.D. position in Machine Learning-Powered Molecular Simulations
The Multiscale Modeling of Fluid Materials group is looking for talented and ambitious scientists interested in unique interdisciplinary research, integrating machine learning, molecular simulations, statistical physics, multiscale modeling, and uncertainty quantification.
In particular, openings are available in connection with the following projects:
– Developing a novel computational framework to discover rational design rules of peptide-based materials used in emerging technologies ranging from drug delivery to soft semiconductor devices.
– Advancing material design for modern additive manufacturing techniques, such as laser powder bed fusion, with state-of-the-art simulations, enabling accurate alloy microstructure prediction.
Deadline : Open until filled
(08) Fully Funded PhD Position
PhD position summary/title:–Research Associate (PhD student or PostDoc) (m/f/d)
In research you carry out interdisciplinary and application oriented research projects. You work especially on the life cycle sustainability analysis, the modelling of the transition of economic sectors towards a CE and / or the optimization of BE and CE systems. In doing so you apply and further develop methods from Life Cycle Sustain-ability Assessment, Material Flow Analysis, Input-Output Modelling and / or agent-based modelling. Focal areas of your work comprise bio-based chemical production processes, chemical recycling, or the circular carbon econo-my. Moreover, you support the chair’s teaching activities by preparing lecture and tutorial materials, holding tutori-als, and advising students.
Deadline : Open until filled
(09) Fully Funded PhD Position
PhD position summary/title:–PhD position (m/f/d) on Modeling of Mobility Fleets; Chair of Traffic Engineering and Control, Full time, TUM Campus Munich
A new PhD position opened up at the Chair of Traffic Engineering and Control. We are looking for a researcher interested in optimization, programming for extending and improving our current simulation framework for on-demand fleets named FleetPy written in Python.
On-demand services usually offer spontaneous and flexible transportation for customers (and/or goods). Operators offering the service utilize a fleet of vehicles to serve these customers. Depending on the service design, this requires solving complex dynamic and stochastic routing problems to assign routes to up to thousands of vehicles that serve the customers. Exploiting demand forecasts allows implementing proactive vehicle rebalancing algorithms, while additionally control strategies for maintenance (i.e. charging) or pricing have to be considered.
In recent years, the focus has been on modeling, controlling and simulating on-demand fleets. Currently, real-world implementations of these services are gaining more attention but are often rather small stand-alone systems. Especially with the upcoming introduction of autonomous driving, on-demand fleets are expected to disrupt the present mobility system. We envision that automation of vehicles enables new integrated mixed system designs, where the mobility service provider can switch between line-based and on-demand operation mode based on their advantages and disadvantages.
Deadline : Open until filled
(10) Fully Funded PhD Position
PhD position summary/title:–PostDoc and PhD Positions in Human-Centered AI Technologies
The Chair of Human-Centered Technologies for Learning at the Technical University of Munich (TUM) offers exciting Ph.D. and PostDoc opportunities focused on the cutting-edge field of Human-Centered AI Technologies using advanced Generative AI and novel interaction technologies such as VR/AR and Eye Tracking.
Deadline : Open until filled
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(11) Fully Funded PhD Position
PhD position summary/title:–PhD student
Project: Advancements in structural biology are providing new insights into the structures of receptors responsible for food taste and odor perception. The project aims to make use of the structural information of the receptors for structure-based ligand design projects in order to develop prediction methods to identify new food-derived modulators of taste and odorant receptors.
Deadline : Open until filled
(12) Fully Funded PhD Position
PhD position summary/title:–PhD position: Physics-based and AI-Driven Spectral Imaging for Brain Surgery
The lab for Artificial Intelligence in Medicine ( AIM Lab ) focuses on AI and ML approaches for medicine and healthcare. Our aim is to develop AI and ML techniques for the analysis and interpretation of biomedical data. We have a 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 Faculty of Medicine at the Campus Klinikum Rechts der Isar (which is the university hospital of TUM) as well as in the Faculty of Informatics 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).
We are currently recruiting a PhD student to work on an EIC Pathfinder project (HyperProbe) . The project aims to develop a new optical imaging instrumentation providing real-time monitoring of brain activity for patients diagnosed with glioma. The student will work on computational aspects of the project, designing physics- and data-driven algorithmic solutions for the reconstruction and analysis of hyperspectral data.
Deadline : Open until filled
(13) Fully Funded PhD Position
PhD position summary/title:–Doctoral Candidate (f/m/d) (TVL E13; 100%) in Computer Science: Knowledge Graphs for Materials Science
The Data Engineering research group at the Technical University of Munich (Campus Heilbronn) is looking for a doctoral researcher for the Collaborative Research Centre (CRC) on Atomic-scale understanding and de-sign of multifunctional compositionally complex solid solution surfaces.
This is a large-scale, interdisciplinary project involving materials science, physics, chemistry, and computer sci-ence experts. Our research focuses on understanding and controlling the surface structures of materials, pav-ing the way for more efficient and sustainable materials. In addition to the Ruhr University Bochum (RUB) as the coordinator, the Max Planck Institute for Iron Research, the University of Copenhagen, the University of Duisburg-Essen, and the Technical University of Munich are also part of the CRC. More information about the project can be found on the website: https://www.ruhr-uni-bochum.de/crc1625.
Deadline : Open until filled
(14) Fully Funded PhD Position
PhD position summary/title:–Doctoral Candidate or Postdoc (f/m/d) in Intelligent Energy Management Systems
The researchers working at the newly established Professorship of Energy Management Technol-ogies 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, exten-sive simulation-based analyses, as well as the implementation and validation of algorithm and sys-tem designs in real world settings.
Deadline : Open until filled
(15) Fully Funded PhD Position
PhD position summary/title:–Post-doc or Ph.D. position in Economics (f/m/d)
on the Freising-Weihenstephan Campus, starting September 2024. Initial appointment will be 2 years with the possibility of extension. Salary is in accordance with the Collective Agreement for the Civil Service of the Länder (TV-L E13).
The overall aim of the Chair group is to shape and contribute to fostering a transition to a fairer, healthier, more sustainable, and efficient agro-food system.
Deadline : Open until filled
(16) Fully Funded PhD Position
PhD position summary/title:–Doctoral candidate (PhD) (65%; d/f/m)
We are offering one PhD position to a highly motivated student focusing on the interconnections between biophonic and anthrophonic sounds and environmental features with an emphasis on vegetation complexity, urban infrastructure, and bird diversity. The thesis is part of a greater project studying urban green space and soundscapes and how these relate to human health and wellbeing. Utilizing terrestrial mobile laser scanning (TLS) and automated recording units (ARUs), as well as advanced modeling techniques, this thesis will quantify songbird diversity indices and their relationship with greenspace structure and surrounding urban landscape. The results of this work will contribute to tools and guidelines for creating multifunctional and biodiverse urban green spaces in Munich. As soon as possible; ideally June 2024 (part-time 65%, fixed-term for 3 years)
Deadline : Open until filled
(17) Fully Funded PhD Position
PhD position summary/title:–PhD positions on Foundation Models and Deep Learning for Imaging Problems
The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100%, 3-4 years) on Foundation Models and/or Deep Learning for Imaging Problems.
The Professorship for Machine Learning at TUM works on machine learning, artificial intelligence, and information processing. The current focus is on developing algorithms and foundations for deep learning and foundation models, particularly for medical imaging and on establishing mathematical and empirical underpinnings for machine learning.
We are seeking a researcher to join our team in an DFG funded project on deep learning for medical imaging and/or for a project on foundation models.
We are looking for a student with a strong mathematical and/or coding background. You must hold a master’s degree in Computer Science, Electrical and Computer Engineering, Mathematics, or similar. Knowledge in machine learning is desired. We are looking for a driven person with the desire to do high-quality research.
Deadline : Open until filled
(18) Fully Funded PhD Position
PhD position summary/title:–Doctoral position as part of a research project in the field of energy and process engineering
We offer you a doctoral position at the Chair of Renewable Energy Systems as part of a research project in the field of energy and process engineering on the topics of synthetic fuels
Deadline : Open until filled
(19) Fully Funded PhD Position
PhD position summary/title:–PhD / PostDoc (m/f/d) position “Intelligent Wrapper for Automotive based Main Memory Controllers”
The Chair of Integrated Systems at Technical University of Munich (TUM) is working on multi- and many-core processor architectures in application domains like IP network processing, visual computing, automotive electronics and approximate computing. Solutions shall be optimized for various, often divergent objectives, e.g. power efficiency, high performance and fault tolerance. We apply a platform-based design approach by reusing already existing design components (IP cores) and complementing the architecture by specific extensions for the intended optimizations.
In the automotive domain, the steady increase of functional diversity and complexity in today’s and future cars, especially for autonomous driving, require an appropriate upscaling of the vehicular compute infrastructure. A hierarchy consisting of near-sensor controllers, zonal gateways up to central car servers, interconnected by a Gbit/s in-vehicle network with service guarantees, altogether providing supercomputing capabilities, are expected to form the IT backbone of future cars.
Within the BMBF Project Mannheim-CeCaS we are investigating intelligent extensions to standard main memory controllers which, by anticipating read/write access patterns to data structures from past observations and application-specific knowledge, pre-load data from main memory into a fast on-chip SRAM buffer. Reversely, modified data that is presumable not used any more, is written back into main memory to free SRAM space. The overall goal is to serve the memory transactions from the processor cores mainly from the SRAM buffer and thus hide the access latencies of slow main memory. As a special variant, we also will consider non-volatile memory (NVM) with its still higher latencies as an increasingly important technology in the automotive domain when short boot-up times and immediate availability of data are required.
Deadline : Open until filled
(20) Fully Funded PhD Position
PhD position summary/title:–PhD in the field of NMR supported amyloid and bio-condensate structural biology
Membraneless organelles (such as nucleoli, nuclear speckles, stress granules etc.) are vital for living organisms. These biomolecular condensates are formed by multi-domain proteins that are involved in multi-valent interactions. Condensate formation implies both protein-protein and protein-RNA interactions, involving prion-like low complexity regions and RNA binding domains. The delicate balance between liquid-liquid phase separation (LLPS) and amyloid fibril formation requires tight regulation. This can be achieved by chaperones, posttranslational modifications, small molecules and/or metals that affect this balance and either yield disintegration or rigidification of protein liquid droplets into β-strand rich protein fibrils. It is the aim of the PhD project to better understand the mechanisms that modulate the equilibrium between amyloid fibril and granule formation in the cell on a structural basis. Protein systems under investigation involve stress granule (SG) associated factors, the Alzheimer’s disease Aβ peptide, the diabetes type II related human islet amyloid polypeptide (hIAPP/amylin), light chain antibody domains involved in AL-amyloidosis and serum amyloid A (SAA) involved in AA amyloidosis. We employ solution- and MAS solid-state NMR to characterize these systems. In addition, we use low resolution biophysical methods such as fluorescence microscopy, ThT aggregation assays, CD spectroscopy, electron microscopy and dynamic light scattering (DLS).
Deadline : Open until filled
(21) Fully Funded PhD Position
PhD position summary/title:–PhD/Postdoctoral Researcher (m/f/d) Underwater Robot Manipulation in Environmental Monitoring Scenarios
Located in the prosperous capital of Bavaria and home to over 39000 students, the Technical University of Munich (TUM) is one of the world’s top universities (top 4 European technical universities in THE World University Ranking, top 50 in Shanghai Ranking, top 10 in Global University Employability Ranking, etc.) and home to one of the most vibrant environments in robotics. It is committed to excellence in research and teaching, interdisciplinary education, and the active promotion of promising young scientists. TUM benefits from the healthy mix of companies and startups of all sizes headquartered in the region and is tightly connected to regional research hospitals. The university also forges strong links with companies and scientific institutions across the world. The Munich Institute of Robotics and Machine Intelligence (MIRMI) is a globally visible interdisciplinary research center for machine intelligence, which is the integration of robotics, artificial intelligence, and perception. Its three central innovation sectors are the future of health, the future of work, the future of the environment, and the future of mobility. More than 60 professors from various TUM faculties cooperate within the framework of MIRMI.
Deadline : Open until filled
(22) Fully Funded PhD Position
PhD position summary/title:–Doctoral candidate (PhD) (65%; d/f/m)
This PhD position is part of an ambitious international project aimed at fostering a sustainable forest-based bioeconomy in Germany and Uruguay. The project focuses on the identification and assessment of tree species from the southern hemisphere that could enhance the biodiversity and resilience of forest ecosystems in Central Europe, particularly in light of climate change. Additionally, the project aims to develop innovative forest management strategies and value-added product pathways in both Germany and Uruguay, integrating biodiversity and ecosystem services into forest and agroforest systems. The project is comprised of three sub-projects. This announcement is for the Sub-Project 1: Forestry, Forest Management, and Agroforest Systems. The location of the work will be in Germany and Uruguay.
Deadline : Open until filled
(23) Fully Funded PhD Position
PhD position summary/title:–PhD Position (67% TV-L E13) for Ambient Pressure Scanning Tunneling Microscopy Investigations of Dynamic Catalysts
Size-dependent structural and electronic effects make sub-nm clusters extremely interesting for highly selective, mild, sustainable catalysis. We investigate model catalysts of clusters, produced with atomic size selection, in reactive gas environments using a sophisticated near-ambient pressure scanning tunneling microscope (NAP-STM). By recording videos, we can follow catalyst restructuring in situ upon heating, due to adsorbates, or during a reaction, obtaining unique insight into the elusive dynamics of a working catalysts. X-ray photoelectron spectroscopy (NAP-XPS) complements microscopy with information on the chemical composition and oxidation state of the system. These measurements are performed both at synchrotrons and with our on-site lab-based instrument.
As the successful candidate, you will prepare the samples, perform and analyze NAP-STM experiments and maintain the UHV apparatus. In addition, you will occasionally perform NAP-XPS experiments, both at synchrotrons (e.g. Lund, Barcelona, Berkeley) and on-site using a new lab-based system. You will benefit from membership at the TUM Graduate School and an active international scientific network within the Cluster of Excellence e-conversion and a DFG Collaborative Research Center. You will participate in meetings with international collaborators, present your results at national and international conferences, and write publications for internationally renowned journals.
Deadline : Open until filled
About Technical University of Munich, Germany – Official Website
The Technical University of Munich (TUM or TU Munich; German: Technische Universität München) is a public research university in Munich, Germany. It specializes in engineering, technology, medicine, and applied and natural sciences.
Established in 1868 by King Ludwig II of Bavaria, the university now has additional campuses in Garching, Freising, Heilbronn, Straubing, and Singapore, with the Garching campus being its largest. The university is organized into seven schools, and is supported by numerous research centers. It is one of the largest universities in Germany, with 52,580 students and an annual budget of €1,839.2 million including the university hospital.
A University of Excellence under the German Universities Excellence Initiative, TUM is among the leading universities in the European Union. Its researchers and alumni include 18 Nobel laureates and 24 Leibniz Prize winners.
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