Technical University of Munich, Germany invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at Technical University of Munich, Germany.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: Research Associate (Doctoral Student) (m/f/x) in Entrepreneurship and Family Enterprise
TUM School of Management at TUM Campus Heilbronn invites applications for a Research Associate (m/f/x) at the level of TV-L E13 (public sector pay scale) at the newly founded Global Center for Family Enterprise (Prof. Dr. Miriam (Birds). Expected starting date is September 2024 or by mutual agreement. The doctoral student is expected to work and conduct research in the area of entrepreneurship and family enterprise. The position (m/f/x) is limited to 36 months (extension for another 12 months is possible).
Deadline : July 10, 2024
(02) PhD Degree – Fully Funded
PhD position summary/title: Research Assistant (PhD student) (m/f/d) with a focus on Entrepreneurship & Family Enterprise
The Professorship for Entrepreneurship & Family Enterprise (Prof. Dr. Miriam Bird) at the TUM Campus Heilbronn is looking to fill a position as a research assistant (doctoral student) (m/f/d) for a limited period of 36 months from September 2024 or by arrangement. An extension of a further 12 months is possible. The opportunity to do a doctorate is available and desired. As part of this position, you will work on varied tasks in science, teaching and knowledge transfer in the field of entrepreneurship and family businesses. (TV-L E13, 100% position)
Deadline : July 10, 2024
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(03) PhD Degree – Fully Funded
PhD position summary/title: Research Fellow (PhD Candidate) (m/f/d) in the Field of Supply Chain Resilience
The Professorship of Operations Management (Prof. Dr. G. P. Kiesmüller) at the TUM Campus Heilbronn is looking for a research assistant (PhD student) (m/f/d) for a limited period of 36 months and for the next possible date. The possibility of a doctorate is given and desired.
The research orientation of the professorship is characterized by the application of operations research methods or machine learning for the analysis and solution of problems in the field of operations management. The research assistant will in particular support research in the field of supply chain resilience.
Deadline : June 30, 2024.
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Position at the Professorship for Global Health
This PhD position is offered within the EU-funded research project “Disentangling and Preventing Economic Violence against Women (ECOVI)”. Violence against women is a violation of fundamental human rights and substantially compromises women’s health, wellbeing, and empowerment. Globally, more than one in four women experience physical and/or sexual violence by a partner in their lives. However, existing research has so far neglected an important dimension of intimate partner violence (IPV): economic abuse. This form of abuse includes denying women the right to participate in financial decisions, taking away their income or preventing them from seeking employment. The consequences are profound – economic IPV compromises women’s economic welfare and independence, traps them in abusive relationships, and adversely affects their mental health. To tackle this major global health concern, ECOVI has three objectives: first, to establish the prevalence of different forms of economic IPV; second, to develop a theory of economic abuse by investigating drivers of economic IPV and linkages with other forms of IPV; and third, to design and test a community-based prevention approach. ECOVI will capitalise on a mixed-methods approach, including (i) systematic reviews and meta-analyses, (ii) conducting qualitative in-depth interviews and focus groups, and (iii) implementing a cluster randomised controlled trial and innovative survey experiments with husbands and wives in 150 communities across three states in India.
Deadline : 15 July 2024
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD Student position in Immunology
T helper cells represent a heterogeneous population of immune cells that are critical for host defense and, if dysregulated, for pathologies such as autoimmunity and allergy. T cell responses take place in peripheral tissues. Yet, insights into their identity and regulation stem almost exclusively from investigations of circulating blood, which comprises only 2% of the total human T cell population. Accordingly, current immunomodulatory drugs act systemically, but lack tissue specificity. Despite progress in the temporary suppression of chronic inflammatory diseases, they still fail to be curative. This project aims to address this unmet medical need by generating fundamental insights into the dynamic compartmentalisation of human tissue resident T helper cells across space and time.
Our interdisciplinary team has established a surgical patient cohort for the collection of multi-organ tissue samples and a cohort of patients after allogeneic hematopoietic stem cell transplantation (allo-HSCT) that enables tracking T cell tissue entry and exit over time in matched organs by single-cell chimerism analysis. Using multimodal state-of-the-art technologies and specialized high-throughput cell culture methodologies in these two unique patient cohorts, the project will dissect 1) the phenotypic, functional and transcriptional identity and molecular regulation of human resident T helper cells across tissues, 2) the compartmentalisation of their antigen specificities across tissues, 3) the dynamics of tissue entry, persistence and exit for distinct T helper cell types in space and time, and will then 4) exploit chimeric host/donor T cell-tracking to gain novel insights into the cellular and molecular pathways underlying graft-versus-host disease. Overall, this project will establish first-of-its-kind insights into the spatio-temporal dynamic organisation of human T cell immunity in tissues. This will bring the next generation of immunotherapies to the level of tissue specificity.
Deadline : Open until filled
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD position as part of a research project in the field of energy and process engineering
We are offering you a PhD 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
(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher (m/f/d) in AI for Additive Manufacturing
The Chair of Computational Modeling and Simulation (CMS) at the Technical University of Munich (TUM) invites applications for the position of a Doctoral Researcher (m/f/d) in the topic “Learning by Printing” associated with AI applied to Additive Manufacturing in Construction. The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is 100% TVL E13 according to the German public sector rates. Applicants should be available from September 1st, 2024.
The Chair of Computational Modeling and Simulation is part of the TUM School of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling and simulation tools.
Research topics include geometric modeling of engineering products, methods of geometric analysis, methods of Building Information Modeling, modeling and simulation of construction processes, and the application of AI methods in engineering.
Deadline : 20/06/2024
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD position: Research assistant (m/f/d) in the field of Enterprise Software Engineering and IT Service Management
The Wittges research group of the Chair of Business Information Systems and Business Process Management (I17) at the Technical University of Munich is looking for research assistants for the “SAP University Competence Center” (SAP UCC) project as soon as possible, who are pursuing a doctorate in the area of enterprise software with a focus on business process management / software engineering / IT service management (ITSM).
The SAP University Competence Center (UCC) operates over 200 SAP systems that are used by educational institutions worldwide in research and teaching. The UCC cooperates with renowned practice partners such as SAP SE and IBM.
Deadline : Open until filled
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD 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 is primarily developing 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 in research and teaching, supported by elements of fluid mechanics, heat and mass transfer, acoustics and chemical reaction kinetics.
Your work aims to contribute to the decarbonization of shipping and to strengthen Germany as a business location in terms of technological leadership in the industry. This includes working on industry-relevant research projects in the field of developing a demonstrator full engine with modularized fuel system technology for operation with renewably generated ammonia as a marine fuel. Specifically, the necessary basic knowledge of ammonia combustion and numerical modeling using 3D CFD is to be further developed and the transition from basic research to the application of ammonia dual-fuel combustion processes in medium-speed large engines is to be promoted in a leading role. In addition, participation in everyday academic life and in the supervision of university teaching is desired.
Deadline : 15.06.2024
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Aircraft Design Software Engineering
The candidate we seek to join our team as a research associate in aircraft design software engineering must possess a strong background in software development and, ideally, aerospace. Therefore, you should bring a MSc. or Dipl. degree in informatics, or similar, well above average, showcasing a proficiency in programming languages such as Modern C++ and Python. The ideal candidate should have a track record of successful software projects, preferably in the aerospace domain, and a passion for exploring innovative solutions to complex engineering challenges. Thus, you should be interested in cooperation with other groups, bring good communication, and writing skills in English to publish scientific papers. Besides research activities, you will also contribute to the lectures and organizational tasks of the chair.
Deadline : Open until filled
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD position in Membrane Protein Structural Biology (65% TV-E13 pay scale)
We are looking for a PhD student as a new team member at the Lab of Structural Membrane Biochemistry at the Technical University of Munich, working on the disease-linked mitochondrial membrane protein MPV17 using biochemical, biophysical and structural methods. The position is intended to be filled until October 1st.
We are looking for 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.
Deadline : Open until filled
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(12) PhD Degree – Fully Funded
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
(13) PhD Degree – Fully Funded
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
(14) PhD Degree – Fully Funded
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
(15) PhD Degree – Fully Funded
PhD position summary/title: TUM Asia doctoral candidate scholarship position: “Digital Twin based Lean Construction Logistics for High-Density-Good Supply and Disposal in Urban Environments”
The research project aims to develop an innovative and scalable logistics system for high density goods (e.g. concrete, heavy machinery, building super structures, etc.) in order to efficiently and effectively supply and dispose urban construction sites.
The aspect of construction logistics in particular, which is responsible for the supply and disposal of construction sites, can benefit from the use of digital technologies in the future in order to increase productivity and flexibility as well as sustainability in the form of cost and resource efficiency, but also urban quality of living.
One example is the use of tracking and tracing technologies, such as RFID, to support the search for materials, which currently accounts for around 30% of working time and increased traffic around constructions sites. Furthermore, new lean logistics strategies can minimize the number of trucks and the packaging of materials through consolidation centers to improve the last mile. Driven by high requirements regarding handling, reliability, and time, these consolidation centers are a complex intralogistics system strongly depending on the particular good group that shall be handled.
Deadline : Open until filled
(16) PhD Degree – Fully Funded
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
(17) PhD Degree – Fully Funded
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 : June 8, 2024
(18) PhD Degree – Fully Funded
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
(19) PhD Degree – Fully Funded
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
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD positions on Foundation Models and Deep Learning for Imaging Problems
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.
TUM is ranked consistently as one of the best universities in Europe and often as the best technical university in Germany, an excellent place to do a PhD. Our group is part of the School of Computation, Information and Technology. We are working with groups in the US and Europe, and offer opportunities to collaborate internationally with a variety of researchers.
Deadline : Open until filled
(21) PhD Degree – Fully Funded
PhD position summary/title: Research Associates / Doctoral Candidates (f/m/d) in Modeling, Control, and Operation of Converter Dominated Power Systems
Are you enthusiastic about developing and applying innovative engineering techniques to facilitate the energy transition and seeking to contribute to a dynamic research setting? Let’s collaborate to shape tomorrow’s energy systems!
Our research focuses on developing solutions to improve the electric grid’s accessibility, resiliency to high-impact events, day-to-day reliability, sustainability, and security against cyber and physical attacks.
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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