Marie-Curie fellowships in Data-driven generation of 3D shapes towards interactive design.
ATHENA Research Center offers a fellowship within MSCA Doctoral network GRAPES for a PhD student working on Machine Learning for 3D objects.
Duration: 8.5 months. Applications will be evaluated as they arrive; start date September 2023.
Group: Information Management Systems Institute, ATHENA Research Center, Athens, Greece.
Main Supervisor: Professor Ioannis Emiris (ATHENA RC, and U. Athens, Greece).
Remuneration is very competitive following MSCA standards, with extra family and travel allowances (more than 3000 Euro monthly gross salary).
Synthetic tasks in 3D geometry often rely on effective and accurate editing of the underlying representation. However, editing 3D shape representations, and in particular 3D meshes, is a very tedious task. Designers spend a significant amount of time repurposing existing 3D models, manually repositioning one by one the vertices of the mesh to produce a new shape. A tool that enables easier and faster editing would greatly increase the capacity at which new shapes could be generated, enabling us to move towards interactive design. Our main tool shall be Neural Networks and the corresponding internal representations. Recent works use Neural Networks and learn meaningful intermediate representations of 3D shapes by decomposing them into sets of primitive objects, such as 3D Gaussians, or by enclosing them inside coarse meshes with semantic control points. The goal of this project is to exploit and improve such meaningful internal representations, and use them as conditioning inputs for part-specific editing and generation operations. For further information see ESR16 position here.
FORMAL REQUIREMENTS.
Candidate researchers must be at PhD level (not necessarily enrolled in a PhD program), satisfying MSCA rules of mobility (2 out of the last 3 years outside Greece). The candidate should hold a MSc within the past 5 years (this rule is flexible) with expertise in geometry and, more importantly, Machine Learning. Notice that the fellowship does not lead to a PhD but such a possibility could be discussed as a follow-up project with the supervisor.
ATHENA RC offers a vibrant environment for research, with several world-class teams in various relevant fields including Data Processing, Artificial Intelligence, Machine Learning and Scientific Computing. To apply please contact directly Prof. I. Emiris.
Supervisors: Prof. I. Emiris (Athena RC and U. Athens), and Dr T. Dalamagas (Athena RC).
