Open PhD Candidate / Research Assistant (m/f/d) position in the topic AI-based processing of CAD models for automated planning of computer-aided manufacturing

16.08.2023, Wissenschaftliches Personal

The Chair of Computational Modeling and Simulation (CMS) at the Technical University of Munich invites applications for the position of a Research Assistant (m/f/d) in the topic:

The Chair of Computational Modeling and Simulation is part of the TUM School of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling and simulation tools. Research topics include geometric modeling of engineering products, methods of geometric analysis, methods of Building Information Modeling, modeling and simulation of construction processes, and the application of AI methods in engineering.

Description:

Nowadays, computer-aided manufacturing (CAM) methods are used to a large extent for the production of complex machine components, in which NC machines are programmed for material removal. Considerable expert knowledge is required for the necessary selection of suitable production tools and the definition of tool movements. The increasing complexity of the parts to be machined and the general lack of CAM specialists make it urgently necessary to automate this planning. The adaptation and further development of AI-based approaches should enable the corresponding production processes and environments to be automatically initialized, processing areas to be generated and the optimal processing tools and their alignment to be assigned to them. For this purpose, geometry-driven AI-based methods are to be researched and developed in order to be able to automatically generate the corresponding process steps and parameters using CAD design models.

Your tasks:

• Research, development, and evaluation of Machine Learning and Deep Learning methods

• Prototype development

• Literature review

• Publication and presentation of scientific results in international conferences and related journals

• Contribution to the teaching and research activities of the group

Requirements:

• Applicants should hold an MSc or Diploma in Computer Science, Computational Engineering or a related discipline.

• Experiences in Machine Learning, Deep Learning and Artificial Intelligence.

• Strong programming skills (Python)

• Good knowledge of AI frameworks like TensorFlow, PyTorch, Keras

• Very good proficiency in the English language

• Paper writing skills

• Team working skills

Good to have:

• Background in 3D geometry processing

• Familiarization with Geometric Deep Learning family of methods and architectures

• Scientific publications.

We offer:

• An optimal research and supervision environment for doctoral studies and academic development, excellent networking opportunities.

• Pleasant working environment in a friendly and committed team.

• Renumeration according to pay group E13 (TV-L).

• Strong contact to industrial partners.

• General advantages of the Munich metropolitan region in terms of high quality of life and varied leisure activities.

Application documents:

• Motivation letter

• Full CV

• Copy of BSc and MSc degrees

The Technical University of Munich aims to increase the proportion of women. Qualified women are therefore strongly encouraged to apply. Severely disabled persons will be given preference in case of equal suitability and qualification.

If you are interested, please send your complete and informative application documents by 20/09/2023 to the following email address:

[email protected]

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: Dr. Stavros Nousias ([email protected])