Aktuelle Jobs im Zusammenhang mit Research Fellow in Atomistic Machine Learning - Munich, Bayern - Technical University of Munich
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Munich, Bayern, Deutschland Technical University of Munich VollzeitPostdoctoral Researcher in Atomistic Machine LearningWe are seeking a highly skilled Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich. As a key member of our team, you will contribute to the development and application of machine learning techniques for atomistic materials science.Your Role and...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitJob Title: Postdoctoral Researcher in Atomistic Machine LearningWe are seeking a highly motivated Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich. The successful candidate will have the opportunity to contribute to the development of innovative materials and technologies using machine learning and...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitJob Title: Postdoctoral Researcher in Atomistic Machine LearningWe are seeking a highly motivated Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich. The successful candidate will have the opportunity to contribute to the development of innovative materials and technologies using machine learning and...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitJob Title: Postdoctoral Researcher in Atomistic Machine LearningWe are seeking a highly motivated Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich. The successful candidate will have the opportunity to contribute to the development and application of machine learning techniques for atomistic materials...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitJob Title: Postdoctoral Researcher in Atomistic Machine LearningWe are seeking a highly motivated Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich. The successful candidate will have the opportunity to contribute to the development and application of machine learning techniques for atomistic materials...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitPostdoctoral Researcher in Atomistic Machine LearningWe are seeking a highly skilled Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich. As a key member of our team, you will contribute to the development and application of machine learning techniques for atomistic materials science.Your Role and...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitJob Title: Postdoctoral Researcher in Atomistic Machine LearningWe are seeking a highly motivated Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich. The successful candidate will have the opportunity to contribute to the development and application of machine learning techniques for atomistic materials...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitJob Title: Postdoctoral Researcher in Atomistic Machine LearningWe are seeking a highly motivated Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich. The successful candidate will have the opportunity to contribute to the development and application of machine learning techniques for atomistic materials...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitJob Title: Postdoctoral Researcher in Atomistic Machine LearningWe are seeking a highly motivated Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich. The successful candidate will have the opportunity to contribute to the development and application of machine learning techniques for atomistic materials...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitJob Title: Postdoctoral Researcher in Atomistic Machine LearningWe are seeking a highly motivated Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich. The successful candidate will have the opportunity to contribute to the development and application of machine learning techniques for atomistic materials...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitJob Title: Postdoctoral Researcher in Atomistic Machine LearningWe are seeking a highly motivated Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich. The successful candidate will have a strong background in computational physics, chemistry, or materials science, and experience in machine learning...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitJob Title: Postdoctoral Researcher in Atomistic Machine LearningWe are seeking a highly motivated Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich. The successful candidate will have a strong background in computational physics, chemistry, or materials science, and experience in machine learning...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitJob Title: Postdoctoral Researcher in Atomistic Machine LearningWe are seeking a highly motivated Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich. The successful candidate will have the opportunity to contribute to the development and application of machine learning techniques for atomistic materials...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitJob Title: Postdoctoral Researcher in Atomistic Machine LearningWe are seeking a highly motivated Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich. The successful candidate will have the opportunity to contribute to the development and application of machine learning techniques for atomistic materials...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitPostdoctoral Researcher in Atomistic Machine LearningWe are seeking a highly skilled Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich.In this role, you will have the opportunity to contribute to the development and application of machine learning techniques for atomistic materials science. Your...
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Munich, Bayern, Deutschland Technical University of Munich VollzeitPostdoctoral Researcher in Atomistic Machine Learning PositionWe are seeking a highly skilled Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich. The successful candidate will have a strong background in computational physics, chemistry, or materials science and experience in machine learning...
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Research Fellow in Atomistic Machine Learning
vor 2 Monaten
Postdoctoral Researcher in Atomistic Machine Learning
The Technical University of Munich is seeking a Postdoctoral Researcher to contribute to the AI-Based Material Science group within the Physics Department.
In this role, you will have the opportunity to influence the transition towards sustainable and digital technologies by utilizing artificial intelligence (AI) methodologies in the fields of physics, chemistry, and materials science. Our aim is to enhance atomistic materials science through machine learning, enabling insights into fundamental atomic processes and expediting materials innovation.
RESPONSIBILITIES AND OBJECTIVES
You will develop, sustain, and implement machine learning strategies for atomistic challenges in materials science. The techniques and scenarios you will engage with include machine-learned interatomic potentials, multimodal regression, generative models, and Bayesian optimization. Additionally, you will perform electronic structure theory calculations (such as density-functional or Green's function theory) to produce data for machine learning applications and explore materials properties and phenomena at the atomic level. You will oversee extensive supercomputer simulations in conjunction with AI algorithms and data analysis tools, lead the development of machine-learning software, and mentor team members.
QUALIFICATIONS AND ASPIRATIONS
We invite applications from candidates holding a PhD in computational physics, chemistry, or materials science who are enthusiastic about applying machine learning in the natural sciences. Prior experience in machine learning is essential. We are looking for individuals who enjoy programming, scripting, and analytical tasks, and who are eager to advance the frontiers of computational materials design. This project demands innovative thinking and programming skills, along with technical proficiency in materials simulations and a comprehensive understanding of electronic behaviors in materials. We also value candidates who are willing to travel, teach, mentor, collaborate, and effectively communicate scientific concepts.
WHAT WE PROVIDE
Within the AI-Based Materials Science group, led by Prof. Patrick Rinke, we are at the forefront of advancing electronic structure theory and machine learning to explore innovative applications for future technologies. Our team is diverse and interdisciplinary, comprising members with complementary skills and expertise. You will receive training in machine learning applications from seasoned developers, connect with our global network of collaborators, participate in scientific conferences, assist in organizing research workshops, and engage in academic and diversity outreach initiatives. We are committed to supporting your development into a competitive and international career profile. You will also become part of the materials science ecosystem at TU Munich, which includes the e-conversion excellence cluster, Munich Data Science Institute, and Atomistic Modelling Center, and you will join a vibrant community at the intersection of AI research, physics, materials science, and renewable energy technologies.
APPLICATION PROCESS
Interested candidates are encouraged to submit their application materials, which should include:
- CV with a list of publications
- A one-page proposal for a hypothetical atomistic machine learning project
- Degree certificates and academic transcripts
- Contact information for at least two referees (or letters of recommendation, if available)
The position will be filled once a suitable candidate is identified. For further inquiries, please reach out to Prof. Patrick Rinke. The Technical University of Munich reserves the right to keep the position open, extend the application period, or consider candidates who have not submitted applications during the designated timeframe.
The position is suitable for individuals with disabilities. Candidates with disabilities will be given preference when qualifications, skills, and professional performance are essentially equal.
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