Our Fastepo Team has listed all available fully funded PhD and Postdoctoral positions at the Technical University of Munich (known as TUM) in Germany on this page. It is important to note that we will be updating these positions. Therefore, next time perhaps you will have a chance to find your dream job.
The Technical University of Munich (TUM)
The Technical University of Munich (TUM) is a research university in Munich, Germany. It was founded in 1868 and is one of the most prestigious universities in Europe. TUM is a member of the German Universities Excellence Initiative and has been continuously ranked among the top universities globally by QS World University Rankings, Times Higher Education World University Rankings and Academic Ranking of World Universities.
International students choose Germany as one of their top study abroad destinations because of its strong economy. Because of the high state budget, PhDs and Postdocs in Germany earn one of the highest academic salaries in Europe.
The Technical University of Munich (TUM) Faculties
TUM has eight faculties that teach on three campuses, with more than 17,000 students enrolled. The university is home to many notable alumni and faculty.
TUM’s eight faculties are:
- Faculty of Architecture and Urban Planning
- Faculty of Mechanical Engineering
- Faculty of Electrical Engineering and Information Technology
- Faculty of Civil Engineering
- Faculty of Chemistry and Earth Sciences
- Faculty of Mathematics and Computer Science
- Faculty of Physics
Available Fully Funded PhD Positions at the Technical University of Munich (TUM)
You will find here a list of fully-funded PhD positions at the Technical University of Munich (TUM).
Title: Ph.D., Sustainable thermoset based on biogenic material for a facile recyclable green composite system for high-performance applications (Technical University of Munich PhD)
Location: The group of Carbon composite researches
Deadline: Open Until Filled
Summary:
In this project, the focus is on the design and synthesis of novel thermosetting polymers with facile recycling, including smart new monomers that can bond and de-bond on demand, using energy-efficient processes such as reverse bonding and de-bonding. The key is the incorporation of suitable degradable functional groups or smart monomers into the polymers in their design stage,” design for recycling’’. The research will include the design and synthesis of new monomers including the use of bio-based raw materials, preparation of high-performance thermosets and investigating its structure-property relationships, chemical de-bonding, separation and recovery of building blocks, and proof of concept for “closed-loop” recycling. The novel polymer will be based on poly furfuryl alcohol (PFA). Cured PFA has excellent chemical resistance and fire retardant properties making it effective for long-term applications demanding high performance and heat resistance. Compared to other common resins, this highly stable resin offers a significant improvement in the carbon storage potential for green composites when used as a matrix. Furthermore, the research effort will be also directed towards the development of novel green recyclable composite systems with the desirable performance which can be recycled using chemical de-polymerization of the matrix and recovering the valuable fibers intact. The research activities will include understanding the performance profile, and matrix fiber surface interface of the new thermoset fiber reinforced composite, and characterizing the structure-property relationships utilizing various chemical, structural, rheological, mechanical, and surface characterization techniques.
Requirements
-We seek highly talented, motivated, and enthusiastic candidates with an MSc degree in polymer chemistry, organic chemistry, material science, or a related discipline.
-The successful candidate has a solid background in polymer and organic chemistry, Molecular Dynamics simulation is a plus.
-Experience with the synthesis and characterization of polymers or organic molecules is essential.
– Analytical skills, initiative, and creativity are highly desired.
-You are a naturally curious person, eager to learn more and with a strong interest in science and research.
-You should have a scientific attitude combined with a hands-on mentality and interest in application-oriented research.
-We prefer candidates with a good team spirit, who like to work in an internationally oriented, social environment.
The successful applicant will hold a 1-year contract with the possibility to expand it. We offer a competitive salary and benefits depending on work experience and seniority following the public service wage agreement of the Free State of Bavaria – TV-L E13. As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from women as well as from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. Preference will be given to disabled candidates with essentially the same qualifications.
More Details and Apply.
Title: PhD student in the development of medical sensors (f/m/d) (Technical University of Munich PhD)
Location: The Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM)
Deadline: Open Until Filled
Summary:
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 unit, which provide bioengineering solutions to urgent societal needs. 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 an ideal environment to accelerate your career.
The Mission:
The successful candidate will contribute to the development of our novel optoacoustic sensing platform for early detection of cardio-metabolic diseases as well as characterization and classification of skin diseases. You will be part of our highly impactful research programs funded by European and national grants. You will plan, design, and manufacture our sensor to be used in clinical trials, work on data acquisition and data analysis. The results of your work will not only accelerate your scientific career, but they are also expected to greatly impact society, improving the quality of life of patients world-wide and yielding a vast potential for commercial exploitation.
Your profile:
The successful applicant must have the following:
• Masters’ degree in Electrical Engineering, Mechanical Engineering, Physics or a related discipline
• Experience with electronic circuits design and testing
• Excellent programming skills with MATLAB and C++ (Python is optional)
• Experience with CAD design (AutoCad, Inventor, Solidworks, NI Altium, Eagle) desired but not mandatory
• Experience with optical, mechanical, and chemical sensors including sensor characterization and testing is a plus
• Experience with electronic devices manufacturing processes is a plus but not required
• Excellent academic study record
• Strong motivation, scientific curiosity, and commitment to scientific excellence
• Team player skills and enthusiasm to work in a multi-disciplinary, collaborative environment
• Excellent command of the English language.
Our offer:
We offer you the unique chance to make a difference in future healthcare. At CBI, we strongly believe in scientific excellence and innovation. This is your opportunity to be part of and to advance your career in a world-leading research institute, where bioengineering principles meet today’s challenges in biology, medicine, and environmental health to develop the solutions of tomorrow. CBI provides a highly international, multi-disciplinary environment with excellent opportunities for professional growth. You will be part of a dynamic, professional, and highly motivated team within a stimulating environment and gain international exposure through our partners and collaborators across Europe and the world. TUM offers a wide variety of inspiring and challenging PhD programs, which will supplement your research training with outstanding opportunities for career development, continued education and life-long learning.
Situated on the foothills of the Alps, Munich is consistently ranked as one of the most vibrant and enjoyable cities in the world, with an exceptionally high quality of life. Greater Munich is also home to several world-class universities and research institutes, creating a truly inspiring intellectual atmosphere.
The successful applicant will initially have a 3 years for PhD positions contract, with the possibility of extension. Salary will commensurate with work experience and seniority (TV-L E13-75%). To promote diversity, we welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion, and age. Qualified applicants with physical disabilities will be given preference.
More Details and Apply.
Title: PhD candidate on the topic of “Geolocation text embeddings for social media data” (Technical University of Munich PhD)
Location: Department EO Data Science of the Remote Sensing Technology Institute of the German Aerospace Center (DLR)
Deadline: Open Until Filled
Summary:
The TUM-Professorship for Data Science in Earth Observation develops innovative methods for information extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute of the German Aerospace Center (DLR). For this international, exciting, and cutting-edge environment, we are looking for a PhD candidate on the topic of semantic understanding of the built environment using machine learning technologies. This PhD position is part of our research on exploiting social media data for earth observation tasks. The work will be on the topic of developing geographically meaningful novel embeddings for social media messages, and will be conducted in close collaboration with our social media analysis group at DLR.
TASKS:
Your duties will include:
- Literature research
- Designing, implementing, and evaluating novel machine learning approaches to embed social media text messages with regards to their posters’ geolocations, whether stated explicitly or inferred
- Application of the developed embedding methods for a variety of practical tasks
- Exchange with our scientific partners
- Publishing the developed approaches in international journals and conferences
REQUIREMENTS:
Promising applicants have:
- A master’s degree in Computer Science, Computational Linguistics, Natural Language Understanding, or similar
- Very good programming knowledge, preferably in Python
- Experience with state-of-the-art machine learning and NLP technologies
- Experience with social media data or remote sensing data is a plus
- Solid command of the English language both in written and spoken form (German language is a plus)
More Details and Apply.
Title: PhD position | Sustainable Energy Materials | Electrochemistry (Technical University of Munich PhD)
Deadline: Open Until Filled
Summary:
We test novel catalysts for sustainable energy conversion processes such as polymer electrolyte fuel cells or electrolyzers, H2O2 production, or electrochemical CO2 reduction. To do so, the stability of newly developed catalysts is of pressing concern. You will continue our research line around stability assessment of novel catalysts by electrochemical flow cell measurements that will be coupled to on-line analytics. Specifically, an in-house designed flow cell is coupled to inductively coupled plasma mass spectrometry and the stability against dissolution will be assessed. This will be done with collaboration partners around the world. The workflow spans from physical chemistry to material science and engineering. We are looking for an individual with a high willingness to take initiative and motivation to start her/his career in the group “sustainable energy materials” at TUM.
Your Profile:
– Master in chemistry, material science, engineering, physics, or a closely-related field
– You have experience/interest in electrochemistry (electrocatalysis, plating, corrosion…)
– Knowledge/Interest in method development
– Knowledge/Interest in analytical chemistry
– Excellent English speaking and writing abilities, no German language skills required
– Interdisciplinary team working skills with high independency and outstanding academic performance
– Hands-on mentality
Applicants should submit their CV including A-level, bachelor and master degrees, and a motivation letter detailing their interest and suitability for the position.
Mission:
We test novel catalysts for sustainable energy conversion processes such as polymer electrolyte fuel cells or electrolyzers, H2O2 production, or electrochemical CO2 reduction. To do so, the stability of newly developed catalysts is of pressing concern. You will continue our research line around stability assessment of novel catalysts by electrochemical flow cell measurements that will be coupled to on-line analytics. Specifically, an in-house designed flow cell is coupled to inductively coupled plasma mass spectrometry and the stability against dissolution will be assessed. This will be done with collaboration partners around the world. The workflow spans from physical chemistry to material science and engineering. We are looking for an individual with a high willingness to take initiative and motivation to start her/his career at the newly founded group “sustainable energy materials” at TUM.
Offer:
TUM offers a wide range of inspiring and challenging Ph.D. programs, which will supplement the research training with outstanding opportunities for career development, continued education, and life-long learning. We offer excellent working conditions in a young and interdisciplinary team. In an open environment, you will have the freedom to develop and realize your own ideas. Situated on the Bavarian forest gate, Straubing, the old ducal town on the Danube, is the intellectual hub for renewable materials and technologies for sustainability in Germany. Straubing, although small in the number of inhabitants, offers everything you need for a successful Ph.D., including a diverse selection of taverns, cafés, and beer gardens. TUM Campus Straubing for Biotechnology and Sustainability offers scientific and academic excellence in a student-friendly and fresh environment. The successful applicant will hold a 3-year contract. We offer a competitive salary and benefits depending on work experience and seniority in accordance with the public service wage agreement of the Free State of Bavaria – TV-L E13 (67%). As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from women and all others who would bring additional diversity dimensions to the university’s research and teaching strategies. Preference will be given to disabled candidates with essentially the same qualifications
More Details and Apply.
Title: Ph.D. Student for Quantum Circuit Compilation (m/f/d, full time E13) (Technical University of Munich PhD)
Deadline: Open Until Filled
Summary:
We are an active and lively research group which is passionate about science. We are working in an environment which may best be characterized by the passion to accomplish something new—complemented by teamwork and fostering personal relationships. From assistants, students, researchers, postdocs to professors; we are all working hand in hand, are highly committed, and engaged with our work. We know how to celebrate our successes, but also how to get through setbacks together!
Qualification:
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 obviously is an advantage.
More Details and Apply.
Title: Ph.D. Student for Simulation of Microfluidic Systems (m/f/d, full time E13) (Technical University of Munich PhD)
Deadline: Open Until Filled
Summary:
We are an active and lively research group which is passionate about science. We are working in an environment which may best be characterized by the passion to accomplish something new—complemented by teamwork and fostering personal relationships. From assistants, students, researchers, postdocs to professors; we are all working hand in hand, are highly committed, and engaged with our work. We know how to celebrate our successes, but also how to get through setbacks together!
Qualification:
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 simulation methods and software for the design of microfluidics. 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, Mathematics, Engineering, Chemistry, Physics 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 to design highly efficient algorithms. A focus in bio-chemistry or medicine, and ideally interest (or even first lab experiences) in microfluidics is obviously an advantage.
More Details and Apply.
Title: PhD Position (100 %, TVL-E 13) on “Graph Data Systems” at TUM Campus Heilbronn (Technical University of Munich PhD)
Deadline: Open Until Filled
Summary:
As part of an initiative by the community service foundation Dieter Schwarz Foundation (DSF), TUM created a teaching and research facility on the Bildungscampus Heilbronn (Heilbronn Education Campus). TUM Campus Heilbronn focuses on the areas of managing digital transformation, family businesses, and computer science.
Requirements:
– Master’s degree in computer science with very good results
– Interest on topics around the area of distributed systems and data management
– Basic knowledge in distributed systems and graph algorithms is desired
– Hand-on experience with large-scale data analytics frameworks (Hadoop, Spark, Flink, etc.) is desired
– Interest in the development of software systems, very good knowledge and skills in programming with standard programming languages such as C++ or Java
– Excellent command of English
– Very good writing skills
– High engagement, high motivation, pro-active communication skills, and high social skills
– This position is located on the new Heilbronn campus (not in Garching / Munich!)
Your tasks:
Graphs are a fundamental data structure and are commonly used to model relationships between data points such as links between web pages or friendships between users in a social network. Due to the large variety in data science tasks performed with graph-structured data, different specialized systems have been developed, such as graph processing frameworks, graph databases, graph learning frameworks, knowledge graph systems, and graph mining systems. While each of them is specialized on a specific type of task and is highly efficient for it, maintaining and integrating a zoo of graph data systems is a huge challenge and leaves a lot of room for optimizations.
Our vision is to explore opportunities to unify core parts of the different types of systems and develop a core graph data system that can serve as a common building block. This way, redundancies in keeping multiple cop-ies of graph data in different systems could be reduced, maintenance of the systems could be improved, and operational costs could be optimized. To perform this exciting research, we are looking for a highly motivated student or PostDoc who has recently finished his/her Master’s degree or PhD degree in computer science.
More Details and Apply.
Title: PhD-position in quantitative verification or teaching automata theory (Technical University of Munich PhD)
Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky:
– postdoc in the area of quantitative verification
– PhD student in quantitative verification interested in co-developing Automata Tutor
– main developer of Automata Tutor
Deadline: Open Until Filled
Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky:
– postdoc in the area of quantitative verification
– PhD student in quantitative verification interested in co-developing Automata Tutor
– main developer of Automata Tutor
Topics:
– QUANTITATIVE VERIFICATION: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification, building model checkers (also verified by automated theorem proving) etc.
– AUTOMATA TUTOR (available at , described in publication) is a tool to teach undergraduate students the basics of theoretical computer science. It offers automatic grading and feedback of various types of exercises. The tool has been used at dozens of universities around the world (including 5 times at TUM) and graded almost a million exercise solutions.
Requirements:
We are looking for highly motivated candidates who will fit our enthusiastic and collaborative group spirit.
Post-doc: The applicant is expected to have a solid publication record in theoretical CS. Experience with biological applications, robotics applications, or machine learning is also appreciated.
PhD: The candidate is expected to have some background in theoretical computer science, including some of the following areas: automata, logic, games, verification/model checking, probabilistic or timed systems, automated theorem proving (Isabelle, Coq). Besides, we strongly appreciate experience with developer activities as described below.
Developer: Your tasks will include making Automata Tutor an open-source project, supervising deployment, and improving the tool by developing and implementing user-stories. Additionally, we are interested in analyzing the student solutions using machine learning.
More Information and Apply.
Title: PhD Positions in 3D Machine Learning / 3D Vision (Prof. Dai) (Technical University of Munich PhD)
Location: The 3D AI Lab at the Technical University of Munich
Deadline: Open Until Filled
Summary:
The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine learning, and computer graphics. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100% for PostDocs; 45k – 57k Euro / year + benefits).
Learn More and Apply.
Title: PhD position: Edge Resource Modeling and Management in 6G
Deadline: Open Until Filled
Summary:
Information about the physical and digital world is continuously sensed and/or explicitly shared to provide a model of 6G network environment and its users – encouraging design of algorithms, protocols, and systems that “intelligently” fuse data and extrapolate future (short-, mid-, and long-term) network capacity demands from past and present observations in a privacy-preserving manner. Such solutions shall be able to allocate resources that satisfy the user demands in real time while also considering the operator goals of maximizing resource utilization and maintaining service level agreements. The focus of this thesis project will be on realtime operation and ensuring user privacy across all operations. This thesis will be carried out in tandem with a PhD student in EE working on energy efficiency and sustainability as well as real-time properties.
More Details and Apply.
Title: Ph.D.-thesis on machine-learning for transcriptome-based cell analytics (Technical University of Munich PhD)
Deadline: Open Until Filled
Summary:
The Chair of Information-oriented Control (ITR) offers a PhD/PostDoc position within the 6G-life Research-Hub „Digital transformation and sovereignty of future communication networks”. TU Dresden and the Technical University of Munich have joined forces to form the 6G-life research hub in order to drive cutting-edge research for future 6G communication networks with a focus on human-machine collaboration. The merger of the two universities of excellence combines their world-leading preliminary work in the field of Tactile Internet. 6G-life will provide new approaches for sustainability, new concepts for security and solutions for current latencies in communication networks.
Your qualifications:
We are searching for outstanding candidates, with a successful degree (master/ diploma/doctoral/PhD) with exceptional records. A strong disciplinary background in
• control, system theory and optimization
• machine learning
• robotics and/or mechatronics
• computer languages C, C++ and Python
and interest to work in an interdisciplinary environment are desired.
German language skills are necessary for this position.
More Details and Apply.
Title: Open Ph.D. or postdoctoral position for NV-diamond based NMR available (Technical University of Munich PhD)
Location: The research group “Biomolecular Quantum sensing” at the Technical University of Munich
Deadline: Open Until Filled
Summary:
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:
1) Surface NMR spectroscopy. Recently we have applied NV-centers for probing chemistry at surfaces and interfaces. We want to strengthen this research direction by i) developing a second generation of NV-based NMR spectrometer and ii) applying it to material/energy conversion and/or bioanalytical applications.
Qualifications. The highly motivated candidate should have expertise in solid-state NMR-, NQR-, EPR-spectroscopy or NV-quantum sensing and be interested in technology development.
2) Single-cell NMR spectroscopy. Our group aims to develop NV-based NMR spectroscopy on the single-cell level within an ERC starting grant. In order to achieve the necessary sensitivities, i) hyperpolarization methods must be applied, and the NV-NMR detection must be improved. In the project, these technological developments will be combined with applications in single-cell biology.
Qualifications. The highly motivated candidate should have expertise in hyperpolarization methods (DNP; PHIP, Overhauser etc.) and/or in hands-on NMR or NV-hardware development (magnet, RF, etc.)
More Details and Apply.
Available Postdoctoral Positions at the Technical University of Munich (TUM)
You will find here a list of available Postdoctoral positions at the Technical University of Munich (TUM).
Title: Postdoctoral fellow in applied optoacoustic sensing (f/m/d) (Technical University of Munich)
Location: The Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM)
Deadline: Open Until Filled
Summary:
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 unit, which provide bioengineering solutions to urgent societal needs. 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 an ideal environment to accelerate your career.
The Mission:
Early detection of disease is a key factor to improve treatment outcome and reduce healthcare costs. The successful candidate will contribute to our preclinical testing of novel optoacoustic sensing platforms for early detection of cardio-metabolic diseases, as part of our highly impactful research programs funded by European and national grants. You will lead and conduct measurements in animal models, data acquisition, tissue staining, microscopy, and data analysis. The results of your work are expected to greatly impact society, improving the quality of life of patients world-wide and yielding a vast potential for commercial exploitation.
Your profile:
The successful applicant must have the following:
• Master’s degree and Ph.D. in natural sciences, biology, physics, optics, medical technology, biomedical computing, or a related discipline.
• Experience with preclinical animal models and experimental, biological work.
• A FELASA certificate and experience in microscopy, optics, sensors, lasers, optical fibers are considered a plus, but not mandatory.
• Programming skills in MATLAB / Python.
• Excellent track record of research achievements and publications in top-ranked journals.
• Strong motivation, scientific curiosity, and commitment to scientific excellence.
• Team player skills and enthusiasm to work in a multi-disciplinary, collaborative environment.
• Excellent command of the English language.
Our offer:
We offer you the unique chance to make a difference in future healthcare. At CBI, we strongly believe in scientific excellence and innovation. This is your opportunity to be part of and to advance your career in a world-leading research institute, where bioengineering principles meet today’s challenges in biology, medicine, and environmental health to develop the solutions of tomorrow. CBI provides a highly international, multi-disciplinary environment with excellent opportunities for professional growth. You will be part of a dynamic, professional, and highly motivated team within a stimulating environment and gain international exposure through our partners and collaborators across Europe and the world. We support career development, continued education, and life-long learning.
Situated on the foothills of the Alps, Munich is consistently ranked as one of the most vibrant and enjoyable cities in the world, with an exceptionally high quality of life. Greater Munich is also home to several world-class universities and research institutes, creating a truly inspiring intellectual atmosphere.
The successful applicant will initially have a 2-year contract, with the possibility of extension. Salary will commensurate with work experience and seniority (TV EntgO Bund EG 13). To promote diversity, we welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion, and age. Qualified applicants with physical disabilities will be given preference.
More Details and Apply.
Title: Postdoctoral research fellow on the topics of Family Enterprise, Sustainability & Responsibility (m/f/o)
(Technical University of Munich)
Location: The EQUA Endowed Chair for Family Business Culture and Ownership at TUM School of Management
Deadline: Open Until Filled
Summary:
The EQUA Endowed Chair for Family Business Culture and Ownership at TUM School of Management is offering a Postdoctoral research fellow position on the broad topics of sustainability and responsibility, which can be tailored to the individual research interests and expertise of the candidate.
Starting preferably on January 1st 2023 (can be negotiated)
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. In addition, these influential families often engage in various social and environmental causes. This phenomenon, known as “Family Philanthropy”, has a far-reaching effect, not only in Germany, but also on societies and communities worldwide. The newly established 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 centre stage.
Your profile:
- You are a highly qualified and motivated researcher holding (or be close to obtaining) a PhD degree or equivalent degree in management, ethics, ecological sustainability or related fields
- You have an interest in family owned enterprises
- You have an entrepreneurial mindset and the motivation to contribute to UnternehmerTUM
- You show a strong commitment, motivation, and discipline to work independently and efficiently
- You are a strong team player with the ability to work together with new colleagues
- You enjoy networking with business practitioners and have the motivation to engage in knowledge transfer and exchange activities
- You show an excellent ability to communicate, present, and write in English
offer:
- A versatile and exciting position in a young chair, consisting of the chair holder, one postdoctoral researcher, two PhD students and an admin manager
- An outstanding international research environment
- Excellent infrastructure for research in an attractive, versatile workplace
- Access to national and international research networks
- The possibility to network and collaborate with family business owners, tech startups, social enterprises and NGOs
- Flexible working hours (part-time solutions available)
- A place of work in the center of Munich, with excellent accessibility via public transport
- Payment based on the German TV-L E13 scale
More Details and Apply.
Title: Post-Doc in Modeling Multi-modal Medical Data (Technical University of Munich)
Location: The lab for Artificial Intelligence in Medical Imaging
Deadline: Open Until Filled
Summary:
The lab for Artificial Intelligence in Medical Imaging is located at Klinikum Rechts der Isar, the university hospital of TUM, in the institute of radiology. We are affiliated with the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We are looking for a Post-Doc (TVL E13) to join our team.
Medical images provide wide opportunities for studying diseases. Yet, images alone are often not sufficient but the integration of adjunct data sources is required to create a holistic picture. Such additional information can improve the performance, help to reveal biases, or may enable to perform causal inference. We are interested in developing statistical models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice.
QUALIFICATIONS:
- PhD in (Bio-)Statistics, (Bio-)Informatics, Computer Science or related disciplines
- Strong background in modeling multi-modal data (images, tables, text, etc)
- Understanding of biases and causal inference
- Experience with machine and deep learning
- Programming experience with Python and Pytorch
- Strong analytical and problem-solving skills
- Excellent communication & interdisciplinary skills
- Fluency in English (written and spoken)
More Details and Apply.
Title: PostDoc-position in quantitative verification or teaching automata theory (Technical University of Munich)
Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky:
– postdoc in the area of quantitative verification
– PhD student in quantitative verification interested in co-developing Automata Tutor
– main developer of Automata Tutor
Deadline: Open Until Filled
Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky:
– postdoc in the area of quantitative verification
– PhD student in quantitative verification interested in co-developing Automata Tutor
– main developer of Automata Tutor
Topics:
– QUANTITATIVE VERIFICATION: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification, building model checkers (also verified by automated theorem proving) etc.
– AUTOMATA TUTOR (available at, described in publication) is a tool to teach undergraduate students the basics of theoretical computer science. It offers automatic grading and feedback of various types of exercises. The tool has been used at dozens of universities around the world (including 5 times at TUM) and graded almost a million exercise solutions.
Requirements:
We are looking for highly motivated candidates who will fit our enthusiastic and collaborative group spirit.
Post-doc: The applicant is expected to have a solid publication record in theoretical CS. Experience with biological applications, robotics applications, or machine learning is also appreciated.
PhD: The candidate is expected to have some background in theoretical computer science, including some of the following areas: automata, logic, games, verification/model checking, probabilistic or timed systems, automated theorem proving (Isabelle, Coq). Besides, we strongly appreciate experience with developer activities as described below.
Developer: Your tasks will include making Automata Tutor an open-source project, supervising deployment, and improving the tool by developing and implementing user-stories. Additionally, we are interested in analyzing the student solutions using machine learning.
More Information and Apply.
Title: PostDoc Positions in 3D Machine Learning / 3D Vision (Prof. Dai) (Technical University of Munich)
Location: The 3D AI Lab at the Technical University of Munich
Deadline: Open Until Filled
Summary:
The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine learning, and computer graphics. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100% for PostDocs; 45k – 57k Euro / year + benefits).
Learn More and Apply.
Title: PostDoc Position (100 %, TVL-E 13) on “Graph Data Systems” at TUM Campus Heilbronn (Technical University of Munich)
Deadline: Open Until Filled
Summary:
As part of an initiative by the community service foundation Dieter Schwarz Foundation (DSF), TUM created a teaching and research facility on the Bildungscampus Heilbronn (Heilbronn Education Campus). TUM Campus Heilbronn focuses on the areas of managing digital transformation, family businesses, and computer science.
Requirements:
– Master’s degree in computer science with very good results
– Interest on topics around the area of distributed systems and data management
– Basic knowledge in distributed systems and graph algorithms is desired
– Hand-on experience with large-scale data analytics frameworks (Hadoop, Spark, Flink, etc.) is desired
– Interest in the development of software systems, very good knowledge and skills in programming with standard programming languages such as C++ or Java
– Excellent command of English
– Very good writing skills
– High engagement, high motivation, pro-active communication skills, and high social skills
– This position is located on the new Heilbronn campus (not in Garching / Munich!)
Your tasks:
Graphs are a fundamental data structure and are commonly used to model relationships between data points such as links between web pages or friendships between users in a social network. Due to the large variety in data science tasks performed with graph-structured data, different specialized systems have been developed, such as graph processing frameworks, graph databases, graph learning frameworks, knowledge graph systems, and graph mining systems. While each of them is specialized on a specific type of task and is highly efficient for it, maintaining and integrating a zoo of graph data systems is a huge challenge and leaves a lot of room for optimizations.
Our vision is to explore opportunities to unify core parts of the different types of systems and develop a core graph data system that can serve as a common building block. This way, redundancies in keeping multiple cop-ies of graph data in different systems could be reduced, maintenance of the systems could be improved, and operational costs could be optimized. To perform this exciting research, we are looking for a highly motivated student or PostDoc who has recently finished his/her Master’s degree or PhD degree in computer science.
More Details and Apply.
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