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: PhD student in computational proteomics (f/m/d) for non-clinical safety assessment with ProteomicsDB
ProteomicsDB (https://www.proteomicsdb.org/) is an internationally well-reputed publicly available knowledgebase that provides information about proteins and other bio-molecules. It is designed to integrate data from mass spectrometry-based experiments and other omics to offer comprehensive views of proteomes, especially in the context of perturbations, like drugs. We (https://www.mls.ls.tum.de/en/compms/home/) are currently looking to fill an open position that will be tasked to extend ProteomicsDB to serve as the central database for an EU-funded project aiming to reduce and replace non-human primates in non-clinical safety assessment (https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/horizon-ju-ihi-2023-04-01-two-stage). In this non-competitively funded project, many EU partners from academia, biotech, pharma, and service providers combine forces to share and obtain knowledge of minipigs. The goal is to facilitate the development of innovative solutions by improving the translational understanding between minipigs versus non-human primates and humans, including further understanding of the minipig immune system, with the overall aim to replace, reduce, and refine the use of animals in non-clinical safety assessment.
Deadline : Open until filled
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Research in 4D Topographic Monitoring
We are looking for motivated candidates holding a Master degree in geodesy, geoinformatics, geography, geosciences, computer science, (geospatial) data science, or related fields, with experience in remote sens-ing data processing, ideally including laser scanning or photogrammetric data. You should be motivated in independently investigating scientific questions and working in an international research team. Good pro-gramming skills (notably Python) and knowledge of scripting and automation tools are required, as well as interest in Earth surface dynamics and interdisciplinary collaboration with scientists from different geoscien-tific application fields. Experience in scientific software development is a plus. Good English language skills are required (written and spoken). Tasks You will support our team by taking scientific responsibility in the area of method development for 4D point cloud processing and topographic time series analysis for geomorphic and environmental monitoring appli-cations. This position provides the opportunity to teach students, to interact with project partners, to partici-pate in international conferences, and to pursue a doctoral dissertation including many possibilities of aca-demic training (e.g., disciplinary courses and general scientific competencies).
Deadline : Open until filled
View All Fully Funded PhD Positions Click Here
(03) PhD Degree – Fully Funded
PhD position summary/title: PhD and PostDoc Positions in Visual Computing & AI (LS28, Prof. Niessner)
The Visual Computing & Artificial Intelligence Group at the Technical University of Munich is looking for highly motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. 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). For interns, we offer a stipend to cover living expenses. Click here to learn more about our research.
Deadline : Open until filled
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD positions on Foundation Models and Deep Learning for Imaging Problems
The Professorship for Machine Learning at TUM works on machine learning, artificial intelligence, and information processing. The current focus is on developing algorithms and foundations for deep learning and foundation models, particularly for medical imaging and on establishing mathematical and empirical underpinnings for machine learning.
We are seeking a researcher to join our team in an DFG funded project on foundation models and/or deep learning for medical applications.
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.
We offer a fully paid position (TV-L E13 100%) and interesting research project in a diverse team with the opportunity to do a PhD.
Your application should comprise at least: An application letter pointing out why you are interested in our work and a detailed curriculum vitae together with transcripts of grades. We do not expect overly formal application material, but will not consider applications that are incomplete, generic, or not meaningful. Please send your application or any questions on the position to: [email protected]. The position is open until filled.
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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