Technical University of Munich, Germany invites online Application for number of Fully Funded PhD Positions 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 Positions – Fully Funded
PhD position summary/title: Wissenschaftliche/r Mitarbeiter/in (Doktorand/in) (m/w/d)
Wir erwarten einen überdurchschnittlichen Hochschulabschluss (M.Sc.) in Lebensmitteltechnologie, Verfahrenstechnik oder Chemieingenieurwesen, Ernährungswissenschaft, Bioprozesstechnik, Bioinformatik oder einem vergleichbaren Fachgebiet. Sie verfügen über fundierte Kenntnisse in der Lebensmittelverfahrenstechnik, wie Trenntechnik oder Trocknung oder sind bereit, sich diese anzueignen. Erfahrung in der instrumentellen Analytik, wie beispielsweise bei der Partikelgrößenanalyse oder Proteinanalytik sind wünschenswert. Eine strukturierte und selbstständige Arbeitsweise sowie Freude an interdisziplinärer Teamarbeit zeichnen Sie aus. Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift runden Ihr Profil ab.
Deadline : 31.01.2026
(02) PhD Positions- Fully Funded
PhD position summary/title: Doctoral Researcher in Integrated GNSS-InSAR Analysis of Horizontal and Vertical Velocity Fields for Crustal Deformation Analysis (full-time position as Research Associate, E13, in DFG Research Training Group) (m/f/d)
The doctoral researcher project aims to evaluate whether surface motions predicted by geophysical models and geological observations can be reliably extracted from GNSS-derived velocity fields, augmented by InSAR, to distinguish deformation signals related to sub-lithospheric mantle flow from uplift contributions driven by other geophysical processes. This research addresses the challenge of separating overlapping sources of surface de-formation in regions with complex geodynamics, for which the Basin-and-Range province in western North America serves as test case. The area benefits from a dense network of continuously recording GNSS stations as well as extensive InSAR coverage, enabling high-resolution interpolation of surface motions. The project will utilize these datasets together with supporting geological and geophysical information made available through EARTHSCOPE and the Plate Boundary Observatory (UNAVCO/IRIS). By integrating geodetic, geological, and geophysical con-straints, the project seeks to assess how well mantle-driven deformation can be identified within a dense GNSS velocity field and what improvements InSAR interpolation provides. This research establishes a foundation for more reliably isolating deep-seated geodynamic processes from near-surface effects, thereby advancing methods for interpreting surface deformation in tectonically active regions. This project is part of the UPLIFT Research Training Group (RTG) at TUM and the Ludwig-Maximilians-Universität (LMU) München under the auspices of the Munich GeoCenter: https://www.asg.ed.tum.de/iapg/uplift/, and is jointly supervised with the TUM Professorship of Satellite Geodesy.
Deadline : 21 December 2025
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(03) PhD Positions – Fully Funded
PhD position summary/title: Doctoral Position at TUM, Deep Reinforcement Learning and Agentic AI
We invite applications for Doctoral Researchers with a strong background in machine learning and an interest in agentic AI, deep reinforcement learning, and applications in economics. The full-time positions (100%) are initially offered for two years, with the possibility of extension, depending on performance and project needs.
Deadline : Open until filled
(04) PhD Positions – Fully Funded
PhD position summary/title: Doctoral position at the Bavarian NMR Center and the TUM Institute for Advanced Study
We invite applications for a doctoral position (TV-L E13, 75%) within the framework of the TUM Institute for Advanced Study (TUM-IAS) Hans-Fischer Senior Fellowship and the Focus Group “In-cell ¹⁹F NMR of Protein Interactions.”
The project is a collaboration between Profs. Michael Sattler and Franz Hagn at the Bavarian NMR Center (BNMRZ, www.bnmrz.org), Technical University of Munich (TUM), and Prof. Angela M. Gronenborn, TUM-IAS Hans-Fischer Senior Fellow and University of Pittsburgh.
This interdisciplinary research aims to advance protein and RNA structural biology and drug interactions by developing and applying innovative ¹⁹F NMR methodologies to study biomolecular structure, dynamics, and interactions in complex environments and live mammalian cells. By combining ultra-high-field NMR with complementary biochemical, computational, and cellular approaches, the project will overcome current limitations in sensitivity and contrast, enabling unprecedented insights into biomolecular mechanisms and protein–drug interactions in their native context.
Deadline : Open until filled
(05) PhD Positions – Fully Funded
PhD position summary/title: Research Associate (PhD or Postdoc position), Chair of Lunar & Planetary Exploration
For RPS, we are developing a sensor suite to measure the electrical permittivity and temperature of lunar regolith, supporting the search for water on the Moon. RPS will be part of the Rashid-3 rover by MBRSC (UAE) and is expected to be launched to the Moon in 2028. Your tasks will include instrument development from TRL 5 to 8, test and characterisation of the instrument performance in a relevant environment (thermal-vacuum), scientific analysis and publication of the results, and contributing to the project management. The focus of your tasks will lie on the infrared sensing unit of RPS to determine the temperature of the surface regolith.
Deadline : 15 December 2025.
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(06) PhD Positions- Fully Funded
PhD position summary/title: PhD position (m/f/d) in Neuroimmunology and Glial Biology
The PhD candidate will investigate the cell type-specific role of Bruton’s tyrosine kinase (BTK) in an experimental model of multiple sclerosis (MS). This project builds on recent findings from the phase III Hercules trial (Fox et al., NEJM 2025) showing therapeutic effects of BTK inhibition in non-relapsing secondary progressive MS – a subgroup currently lacking effective treatments.
Deadline : Open until filled
(07) PhD Positions – Fully Funded
PhD position summary/title: PhD position (m/f/d)
The position is offered in a multidisciplinary collaboration between various groups within WMI \ TUM. You will experimentally investigate novel quantum communication approaches in superconducting networks. Your work is embedded into the quantum technology network formed by WMI, the Excellence Cluster MCQST (www.mcqst.de), the TU München (www.tum.de), Munich Quantum Valley (https://www.munich-quantum-valley.de/), and many industrial companies and start-ups working on quantum technology in the Munich area. The planned starting date of the project is February 1-st, 2026, with the anticipated duration of 3 years.
Deadline : Open until filled
(08) PhD Positions – Fully Funded
PhD position summary/title: PhD student (m/f/d)
As part of the research project, interactions between biopolymers and between biopolymers and low-molecular compounds, e.g. interactions between plant proteins and starch, are to be elucidated by combining methods of modern, instrumental natural product analysis with biophysical techniques. To this end, methods are first to be developed and established.
Deadline : 15.12.2025
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(09) PhD Positions – Fully Funded
PhD position summary/title: PhD/Postdoc Position for Safe Artificial Intelligence for Maritime Engines
Integrating artificial intelligence into maritime engines powered by alternative fuels like hydrogen significantly enhances operational efficiency and reduces emissions. AI systems can continuously analyze real-time data—such as engine load, fuel flow, and environmental conditions—to optimize combustion and propulsion strategies. This dynamic adjustment ensures that hydrogen, with its unique properties like high flame speed and low ignition energy, is used as efficiently as possible. As a result, vessels can achieve lower fuel consumption and drastically reduce greenhouse gas emissions, aligning with global decarbonization goals set by the International Maritime Organization. Moreover, AI can simulate and evaluate countless operational scenarios, helping ship operators make informed decisions that balance performance with sustainability.
Deadline : 05 January 2026
(10) PhD Positions – Fully Funded
PhD position summary/title: PhD in Stimuli-Responsive Elastomers
Your tasks – In this project, you will design and study thermoplastic elastomers whose mechanical properties can be tuned and reprogrammed by heat and light.
The envisioned polymers combine defined blocks with reversible crosslinking chemistries and metal-ligand coordination. You will synthesize and modify ligands, attach them to polymers, and assemble supramolecular materials in solution and in the melt. A significant part of your work will be dedicated to understanding how the molecular architecture and the supramolecular interactions translate into macroscopic properties. To this end, you will use a broad range of characterization techniques, including spectroscopy, size-exclusion chromatography, thermal analysis (DSC/TGA), scattering methods (SAXS/WAXS), microscopy (e.g. AFM) and mechanical and rheological measurements. You will be part of an international consortium and interact closely with our collaborators at Université de Lille (France).
We are looking for candidates with an outstanding Master’s degree (or quivalent) in chemistry, polymer science, or a closely related discipline, with a strong interest in synthetic chemistry, self-assembly, and functional materials.
Prior experience in organic and/or polymer synthesis is highly desirable. Familiarity with supramolecular chemistry, scattering methods or mechanical testing is an advantage but not a requirement. You should enjoy experimental
laboratory work, be curious about how molecular design controls material properties, and be willing to engage with concepts that span from synthesis to polymer science. Good communication skills in English, both written and
spoken, and the ability to work collaboratively in an international and interdisciplinary environment are essential.
Deadline : Open until filled
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(11) PhD Positions – Fully Funded
PhD position summary/title: PhD Position in Bridge Risk Assessment with Remote Sensing and Machine Learning
Our infrastructure is aging, and decisions about its maintenance and safety increasingly depend on data. This PhD project will develop new methods that combine remote sensing, physics-based modelling, and Bayesian machine learning to support risk management of bridge portfolios. You will create tools that transform complex data into reliable insights for infrastructure safety and sustainability.
Deadline : Open until filled
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(12) PhD Positions – Fully Funded
PhD position summary/title: PhD student (m/f/d)
Advancements in structural biology and AI-guided protein structure design are providing new insights into the structures of receptors responsible for food taste and odor perception and food-derived proteins. The project aims to make use of the structural information for structure-based ligand design projects in order to develop prediction methods to identify new food ingredients and flavor modulators.
Deadline : Open until filled
(13) PhD Positions – Fully Funded
PhD position summary/title: Ph.D. Student / Junior Researcher Microeconomics / Applied Economics
Tasks The successful candidate will conduct cutting-edge empirical research in at least one of the following areas
- natural resources and environment, – digitalisation, AI and smart technologies in the livestock sectors, – climate change and policy, – agricultural, food and environmental policy impact analysis, and/or – production efficiency and food markets.
leading to an internationally competitive PhD degree and internationally peer-reviewed publications.
The position will include significant involvement in selected nationally and internationally funded projects, such as various EU Horizon projects (e.g., Smart4Welfare, URSOILL) or nationally funded projects. He/she will receive high quality supervision from the chair’s senior academic staff and might be involved in teaching at un-der/postgraduate level as well as funding acquisition and (global) outreach, if desired. International networking and collaborations are regarded as an integral part of the PhD research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and participation in the related Graduate School training programs.
Deadline : January 9, 2026
(14) PhD Positions – Fully Funded
PhD position summary/title: Ph.D. Student / Junior Researcher Empirical Microeconomics / Applied Microeconomics
The successful candidate will conduct cutting-edge empirical research in more than one of the following areas
– productivity and efficiency measurement at various levels,
– policy design and impact analysis,
– resource allocation, growth and welfare evaluation,
– technology diffusion and firm level innovation.
Deadline : January 30, 2026
(15) PhD Positions – Fully Funded
PhD position summary/title: DoktorandIn Lebensmitteltechnologie, Lebensmittelchemie, Bioinformatik o.Ä. – Plant Proteins and Nutrition
- Entwicklung und Herstellung von Modellformulierungen für Pflanzendrinks und Joghurtalternativen (säureinduzierte Gelierung, Emulsions- und Homogenisierungsprozesse)
- Analytische Charakterisierung der Produkteigenschaften (u. a. Rheologie, Textur, Synärese, Farbe, Vis-kosität, Partikelgrößenverteilung, Dispersionsstabilität)
- Datenauswertung und Modellierung mittels Supervised Machine Learning zur Vorhersage der Appli-kationsfähigkeit
- Erstellung eines Anforderungskatalogs für Proteinzutaten in Milchproduktalternativen
- Enge Zusammenarbeit mit dem Projektpartner Fraunhofer IVV und mit Industrievertretern aus dem projektbegleitenden Ausschuss
- Präsentation und Publikation der Forschungsergebnisse auf wissenschaftlichen Tagungen und in Fachjournalen
Deadline : Open until filled
(16) PhD Positions – Fully Funded
PhD position summary/title: PhD Position on Analysis of Microplastics and Nanoplastics (m/w/d)
The position is open at Raman & SEM Group, Chair of Analytical Chemistry and Water Chemistry, Institute of Water Chemistry (IWC), TUM School of Natural Sciences (Department of Chemistry), Technical University of Munich (TUM). The group is focusing on the development and establishment of Raman-based methods for the analysis of complex samples, with special attention to automation and online/ high-throughput analytics.
Topic: Microplastics and nanoplastics are emerging particulate anthropogenic pollutants. These tiny plastic particles and fibers are found in air, drinking water and food – raising concerns about their impacts on the human health. However, little is known about translocation and accumulation of small microplastics and nanoplastics as well as engineered metal-based nanoparticles in human placenta.
The PhD candidate will be working for the DFG project “Analysis of Micro- & nanoplastics and engineered Nanoparticles in human Placenta / MINAPLA” in collaboration with Ulm University (Institute of Analytical and Bioanalytical Chemistry and Ulm University Hospital). The aim of the project is the development and establishment of valid analytical methodologies to detect, quantify and characterize micro- & nanoplastics and engineered metal-based nanoparticles in human placenta and blood at low concentration of analytes as expected for real-word samples. Moreover, special attention will be drawn to the co-existence of microplastics and metals to evaluate the occurrence of Trojan-horse phenomenon.
Deadline : Open until filled
(17) PhD Positions – Fully Funded
PhD position summary/title: Ph.D. Position (m/f/d) in collaboration with BMW on Data-driven Modeling of Structural Foams for High-Voltage Storage
This Ph.D. project focuses on the data-driven modeling and optimization of structural foams used in high-voltage battery systems for electric vehicles. As part of BMW’s passive safety and electrification strategy, the research aims to develop a multidisciplinary framework that combines microstructure modeling, machine learning, and probabilistic simulation to link manufacturing parameters, foam morphology, and mechanical performance.
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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