Are you holding Master’s degree and looking for PhD positions – Fully Funded PhD Programs in Europe? Technical University of Munich, Germany inviting application for funded PhD Programs or fully funded PhD Scholarship. Technical University of Munich, Germany is one of the largest university in the world with thousands of employees, students, and research scientists are involved in the innovation of science and technology daily.
Technical University of Munich has huge a campus in Munich, Germany and widely known as for its contribution in top notch education and research. The contribution of Technical University of Munich is not only limited to natural sciences and engineering but it also offers high quality research as well as higher education in bio-medical sciences, social sciences, humanities, psychology, education, architecture etc.
1. Research Scientist (option: PhD/postdoc position) in Trustworthy AI
Summary of Doctoral Project:
You conduct cutting-edge AI research with special focus on reliable and safe AI. This included subjects of deep learning for time-series data analysis, reinforcement learning, causal inference, decision support and treatment effect analysis, out of distribution generalization, and similar topics. Our main focus of application is in healthcare, clinical diagnosis and treatment of patients. What you bring to the table – Master’s degree in computer science, mathematics, bioinformatics, physics or related fields (final grade better than 2.0) – Strong background in ML (graphical models, deep learning), statistics, and preferably causal inference methods – Experience in working with time-series data, preferably clinical data – Programming expertise with Python, R and SQL – Proven skill in scientific writing – Excellent interpersonal skills.
Last Application Date: Open Until Filled
2. PhD position in Cellular Protein Biochemistry
Summary of Doctoral Project:
A PhD position is available in the laboratory for Cellular Protein Biochemistry at the Technical University of Munich (TUM) Department of Chemistry and Institute for Advanced Study. Our laboratory aims at understanding how proteins fold, assemble and are scrutinized by the cellular quality control machinery. We are particularly interested in proteins of the secretory pathway – proteins that are ultimately secreted or localized on the cell surface and allow cells to interact with their environment. We use an interdisciplinary approach from protein biochemistry to cell biology to analyze the machinery and mechanisms that monitor cellular protein biogenesis.
Last Application Date: May 31st 2022
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3. PhD in Biological Physics of Behaviour
Summary of Doctoral Project:
The network-forming slime mould Physarum polycephalum is renowned for solving complex tasks despite its simple make-up consisting of only one giant cell that harbors millions of cell nuclei. You will investigate the role of nuclei as information processors and how nuclei dynamics coordinate solving complex tasks. To this end you will perform fluorescence microscopy on nuclei populations and quantify their dynamics while challenging Physarum to mount a behaviour. Relating nuclei dynamics to morphological changes in the organism’s network architecture you will find out how nuclei information processing leads to emergent organism-scale behaviour. Your work is embedded in our interdisciplinary environment with biologists and applied mathematicians as collaborators.
Last Application Date: 30.05.2022
4. Ph.D. student in bioinformatics and/or a wet-lab biologist with computational background
Summary of Doctoral Project:
The successful candidate will be part of the Andergassen lab based at the Institute of Pharmacology and Toxicology of the Technical University of Munich (TUM). The lab bridges computational and experimental strategies (high-throughput sequencing, epigenetics, CRISPR in vivo editing) to understand the functional contributions of the non-coding genome, such as regulatory DNA elements and long non-coding RNAs in the cardiovascular system. We aim to understand the impact of epigenetic changes on heart function and elucidate the molecular basis for sex differences in cardiovascular diseases. To address these fundamental questions, the lab combines allele-specific genomics with disease and genetic mouse models with the overall aim to elucidate relevant therapeutic candidates to form the basis of new therapies to treat cardiovascular diseases. More information about the lab: www.andergassenlab.com
Last Application Date: Open Until Filled
5. PhD position – BIOCHEMISTRY AND CELLULAR BIOLOGY
Summary of Doctoral Project:
Our laboratory aims at understanding how proteins fold, assemble and are scrutinized by the cellular quality control machinery. We use an interdisciplinary approach from protein biochemistry to cell biology to analyze the machinery and mechanisms that monitor cellular protein biogenesis. One major model system in our laboratory are interleukins, key signaling molecules in our immune system. We use insights into their biogenesis to rationally engineer new immunomodulatory biomolecules. Within our translational department we then develop these proteins into next-generation biopharmaceuticals.
Last Application Date: June 15th 2022
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6. Geoscientist in geothermal energy as a research assistant and/or doctoral student
Summary of Doctoral Project:
The AG Geothermie of the Chair of Hydrogeology is looking for a geoscientist as a research assistant and/or doctoral student (WM100%; PhD 75% position) (m,f,d) within the BMWK funded research project GFK-Monitor for research in the field of monitoring geothermal systems.
Last Application Date: June 10th, 2022
7. PhD Position: Multipath Transport with Real-time Capabilities for 6G
Summary of Doctoral Project:
This research topic is in the intersection of protocol and system design to support time-bounded access of mobile devices (including smartphones, vehicles, UAVs, industrial robots) to network-based services, likely at the edge. Such devices may use multiple networks in parallel (e.g. 4G/5G/6G, WiFi, D2D mesh, satellite, etc.) to access “their” service instance for different interaction patterns (one-shot, continuous, on/off). The goal is modeling different application classes and their specific demands one the one hand and the observed and predicted link/path properties on the other (at different geographic and time scales) and devising transport layer mechanisms that support the timely interaction between the mobiles and their service instances.
Last Application Date: Open Until Filled
8. Open Ph.D. or postdoctoral position for NV-diamond based NMR available
Summary of Doctoral Project:
The research group “Biomolecular Quantum sensing” at the Technical University of Munich and member of the Munich Center for Quantum Science and Technology (MCQST) is inviting applications for a Ph.D. or postdoctoral position. In recent years, spin defects in diamonds have been shown to act as atomic-sized sensors for nanoscale- microscopic magnetic field detection. One highly promising direction NV-based nano- and microscale nuclear magnetic resonance (NMR) spectroscopy. In our lab, this quantum sensor based NMR spectroscocopy is applied to life sciences as well as chemistry and physics-based applications (www.bucherlab.org). We are currently exploring two different directions with two open positions:
Last Application Date: Open Until Filled
9. PhD student for computational methods in cardio-metabolic imaging
Summary of Doctoral Project:
The Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) and the Institute of Biological and Medical Imaging (IBMI) at Helmholtz Munich are an integrated, multi-disciplinary research structure and form the cornerstone of a rapidly expanding bioengineering ecosystem in Munich, Germany; 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, medicine and the environment. Comprising 11 inter-disciplinary laboratories and scientists from more than 25 countries, CBI offers state-of-the-art infrastructure for innovative research and a perfect environment to accelerate your career. Join our team and be part of our rich and dynamic research culture of enquiry and innovation.
Last Application Date: Open Until Filled
10. PhD student in computational medical imaging
Summary of Doctoral Project:
Radiomics – the extraction of clinically relevant information from complex medical imaging data via mathematics and data science – is on the verge of becoming a main player in clinical research and medicine. However, the current radiomics workflow mostly relies on feature engineering and black box machine learning, lagging behind the state-of-the-art in explainable artificial intelligence. Contribute to the implementation of intelligent radiomics by integrating the whole imaging value chain – ranging from imaging hardware, over image formation, to medical interpretation of the data – into an intelligent software environment.
Last Application Date: Open Until Filled
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11. PhD Student for Quantum Circuit Compilation (m/f/d, full time E13)
Summary of Doctoral Project:
We are looking for a Ph.D. student who is willing to learn and explore new topics while playing nice in a team. Your main task will be the development, conceptualization, and eventual implementation of new design automation methods and software for quantum computing and especially compilation of quantum circuits. Our focus on interdisciplinary partnerships and networks will enable you to meet many interesting people (at places all over the world) and present your work at top-notch conferences and journals in our domain. You should have completed your Master/Diploma studies with top grades in Computer Science, Artificial Intelligence, Mathematics, Electrical Engineering, Physics, Chemistry, or a similar subject. Most importantly, you should be creative, passionate about research, driven by curiosity, and be able to think outside-of-the-box. You will need strong coding skills, ideally in both modern C++ and Python, to design highly efficient algorithms. Interests (or even first experiences) in quantum computing is obviously an advantage.
Last Application Date: Open Until Filled
12. Ph.D. student for protein engineering of imaging tools
Summary of Doctoral Project:
The CellEngineering group at the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) and the Institute of Biological and Medical Imaging (IBMI) at Helmholtz Munich and is looking for a highly qualified and motivated PhD. student (f/m/d) for protein engineering: focus on development of genetically encoded sensors. Genetically encoded sensors are a major tool to unravel the functioning of life on the cellular level. We are developing dedicated genetically encoded sensors for optoacoustics measurements. The candidate will focus on engineering chimeric proteins that show a small-molecule binding dependent change of photophysics. The candidate will further explore and exploit their intricate and exciting mechanisms and driving such proteins towards a use in life-science imaging applications. The projects will be very divers and include methods from protein-engineering and high-throughput screening over photo-physical and structural characterization to mammalian cell culture and eventual in vivo application.
Last Application Date: Open Until Filled
13. Ph.D. student for the development of instrumentation for high-resolution optoacoustic whole animal imaging
Summary of Doctoral Project:
Optoacoustic imaging (eg MSOT and RSOM) combines the versatile contrast of optical imaging with the deep penetration of ultrasound imaging. These characteristics give optoacoustic imaging a competitive edge over other imaging methods currently applied in biology and medicine. The successful candidate will develop an instrumentation that links the high resolution of raster scanning optoacoustic mesoscopy (RSOM) with pulsed diode powered excitation and locked-in detection to allow obtaining cellular resolution in several millimeters’ depth in the live animal. The project is a joined effort with other renowned laboratories from France, the Netherlands and Switzerland, that contribute for example AI based data analysis as well as custom electronics and ultrasound transducer development.
Last Application Date: Open Until Filled
14. Ph.D. student for protein engineering of imaging tools
Summary of Doctoral Project:
Genetically encoded sensors are a major tool to unravel the functioning of life on the cellular level. We are developing dedicated genetically encoded sensors for optoacoustics measurements. The candidate will focus on engineering chimeric proteins that show a small-molecule binding dependent change of photophysics. The candidate will further explore and exploit their intricate and exciting mechanisms and driving such proteins towards a use in life-science imaging applications. The projects will be very divers and include methods from protein-engineering and high-throughput screening over photo-physical and structural characterization to mammalian cell culture and eventual in vivo application. The work will be conducted in close collaboration with other laboratories of the Technical University Munich (TUM) and HMGU that are leading in the respective research areas, e.g. in vivo application or protein structure elucidation.
Last Application Date: Open Until Filled
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15. PhD student (m/f/d) in bioinformatics
Summary of Doctoral Project:
The candidate will develop computational tools and analyze genomics, proteomics, and transcriptomics data. You will join an interdisciplinary team of life scientists and bioinformaticians who use the latest proteomic approaches and equipment to better understand plant biology. Your qualifications: – A master degree in computational biology, bioinformatics, systems biology, computer science, or biology
Last Application Date: Open Until Filled
16. Mathematical analysis and numerical analysis for models in machine learning
Summary of Doctoral Project:
Within the DFG Priority Program “Theoretical Foundations of Deep Learning” and the Munich Center for Machine Learning the research unit “Applied and Numerical Analysis ” at the Technical University of Munich, Department of Mathematics, invites applications for 3 research positions (Doc/Postdoc) working on mathematical analysis and numerical analysis for models in machine learning, starting July 1, 2022 or later. Ideal candidates have: – a master’s degree / doctoral degree in mathematics: candidates with degree in other disciplines (computer science, engineering, statistics etc.) will not be considered,
Last Application Date: Open Until Filled
17. PhD Position in Collective Robot Learning
Summary of Doctoral Project:
The Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich is offering a PhD position focusing on using collective robot learning for tactile robots to learn manipulation skills to perform various tasks in future factory environments and beyond. We are seeking an outstanding applicant with passion for robotics and AI as well as a strong desire to shape the future AI-enabled, robotized factories. The successful candidate will contribute to the AI.Factory project (https://www.mirmi.tum.de/mirmi/innovation-sectors/work/kifabrik/), which is a flagship project of the Bavaria High-tech Agenda to build the first prototype AI factory in Bavaria and enable research and development in cutting-edge technologies in robotics, telepresence, wearable electronics and AI to revolutionize the future of work in production.
Last Application Date: May 10, 2022
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18. Scientific Researcher with the possibility of doctorate/postdoctoral researcher: Advanced inverse modeling of greenhouse gases and air pollutants
Summary of Doctoral Project:
The Professorship for Environmental Sensing and Modeling at the Faculty of Electrical Engineering and Information Technology is researching topics of metrology for environmental applications, and monitoring greenhouse gas and pollutant emissions using atmospheric measurements and dispersion models. We are looking to grow our team from June 2022 onwards for a Scientific Researcher with the possibility of doctorate/postdoctoral researcher: Advanced inverse modeling of greenhouse gases and air pollutants (E13 TV-L, 100%) The position is initially limited to 2 years; an extension of an additional 2 years is possible.
Last Application Date: Open Until Filled
19. Doctoral position Thermofluiddynamics
Summary of Doctoral Project:
Thermal fluid dynamics is a challenging discipline, acquiring or imparting knowledge and skills in this area requires effort and commitment from everyone involved. Our teaching in the mechanical engineering and engineering bachelor’s degree courses is based on the concept of the inverted classroom. Active learning in self-study with largely independent processing of exercises is supplemented by pingo sessions, quizzes, small group exercises, etc. To support the Technical Thermodynamics module (3rd semester B.Sc. Mechanical Engineering) we are looking for a committed research assistant / doctoral student (m/ w/d).
Last Application Date: Open Until Filled
20. PhD student (m/f/d) in Neuroscience
Summary of Doctoral Project:
The research group is located at the Department of Neuroradiology and the Institute of Neuroscience at TUM. Our general research program aims at understanding the mechanisms leading to neuronal and glial dysfunctions characterizing early stages of Alzheimer’s disease. Your tasks: Performing challenging in vivo imaging experiments using cutting-edge two-photon microscopy, data analysis and presentation. Requirements: A deep curiosity about brain processes and their breakdown in neuropsychiatric diseases is mandatory, as well as team spirit and troubleshooting skills. Previous experience in imaging and/or electrophysiology as well as programming skills (Matlab/Python/Labview) is a plus
Last Application Date: Open Until Filled
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21. PhD student
Summary of Doctoral Project:
The focus of the work is on the elucidation of the long- and short-range order in cyclic carbonate esters and their mixtures, which are typical solvents in modern liquid electrolytes for Li-ion battery applications. The macroscopic properties of the solvents such as crystal structure, phase stability and ion transport are studied by a combination of neutron and X-ray scattering, calorimetry and impedance spectroscopy under non-ambient conditions. The structural data obtained are used as a basis for the optimization of the electrolyte composition and for further theoretical simulations of the electrolyte stability and dynamics.
Last Application Date: Open Until Filled
22. Ph.D. Student for Design Automation, Simulation, and Verification of Field-coupled Nanotechnologies
Summary of Doctoral Project:
FCN is a class of emerging post-CMOS integrated circuit technologies at the nanoscale. Individual charged molecules on a substrate are coupled via field forces to transmit information and perform computations at the absolute limit of scaling. FCN technologies promise the realization of extremely low-power circuitry with minimal feature sizes; a desperately needed step toward a more sustainable future. Certain quantum-dot implementations are even considered to become bridging technologies that enable interoperability between conventional CMOS circuitry and quantum computers. While recent breakthroughs in the fabrication of Silicon Dangling Bonds (SiDBs) by a research enterprise enabled them to secure multi-million-dollar funding, automatic methods that compose FCN circuits from specifications are scarce. Due to the peculiarity and specificity of the FCN technologies’ design constraints, conventional physical design algorithms cannot be applied. In other words, design automation for an entire class of highly promising nanotechnologies that could potentially enable a future of powerful and green computational devices is still in its infancy.
Last Application Date: Open Until Filled
23. 1 PhD & 1 PostDoc, Center for Energy Markets
Summary of Doctoral Project:
The Center for Energy Markets (CEM) at the School of Management, Technical University of Munich, invites applications for one PhD Position and one Post-Doctoral Researcher Position (both 100% German TVE-13 pay scale) in the field of Energy and Environmental Economics. The CEM conducts research on a broad array of energy market topics. We bring together economics, finance, and engineering approaches to offer contributions to topical questions on the global energy transition. The Center’s research has been published, amongst others, in the Journal of the European Economic Association, the RAND Journal of Economics, the Journal of Industrial Economics, European Journal of Operational Research, International Journal of Industrial Organization, Energy Economics, the Energy Journal, and Energy Policy.
Last Application Date: Open Until Filled
24. Ph.D. Student for Design Automation for the European Train Control System
Summary of Doctoral Project:
The European Train Control System (ETCS) strives to harmonize and improve train control systems throughout Europe. One particular aspect is the utilization of virtual subsections which allow for a much higher degree of freedom and provide significant potential for increasing the efficiency in today’s train schedules. While this certainly provides a great deal of freedom and potential for improvements, utilizing this potential is a highly non-trivial task which, thus far, mainly relied on manual labor. In our work, we aim for introducing methods for design automation which aid designers in tackling those tasks.
Last Application Date: Open Until Filled
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25. Ph.D. Student for Simulation of Microfluidic Systems
Summary of Doctoral Project:
We currently develop methods and software tools that aid the design of microfluidic devices (also known as Labs-on-a-Chip). While these devices are mainly designed manually thus far, we investigate methods that eventually will automate crucial design steps. In addition, we are developing simulators (on various abstraction levels; using, e.g., Computational Fluid Dynamics) which enables us to validate designs of microfluidic devices even before the first prototype is fabricated. In this field, we are involved in a consortial project with stakeholders from academia and industry to establish those tools for practical applications. For an overview of our previous work, please check out our web pages on software/design automation for microfluidics (www.cda.cit.tum.de/research/microfluidics/).
Last Application Date: Open Until Filled
