Research Assistant in 3D Computer Vision and

1 month ago


South Kensington, United Kingdom Imperial College London Full time

An exciting opportunity has arisen for a Research Assistant to work under the direction of Dr Stefanos Zafeiriou and Dr. Tolga Birdal.

The main aim of the project is to develop next-generation machine learning and computer vision methods for analysis and synthesis of 3D textured data (bodies, hands, faces) using novel non-Euclidean Machine Learning techniques. The project will also involve data collection with state-of-the-art systems for body and face capture.

**Duties and responsibilities**:
Within the project, the Research Assistant will be responsible for the development of effective and efficient machine learning algorithms for deep learning on graph, focusing on both generative and discriminative models GAN. The applicant is expected to have strong publication record in top conferences (CVPR, ICCV, ECCV, ICML, and alike) and journal papers (TPAMI, IJCV, TAC, TIP, and other high-impact journals).

**Essential requirements**:

- A MSc degree in a computing or related field, or equivalent
- A track record of publications in excellent venues such as (CVPR, ICCV, ECCV, ICML, TPAMI, etc.)
- A strong background in maths
- Knowledge in one or more of the following areas: machine learning, computer vision, geometry processing.
- Good knowledge of deep learning (including frameworks such as PyTorch or TensorFlow), and in particular deep learning on graphs
- Excellent programming skills
- You must have excellent communication skills, oral and written and be able to work independently and prioritise work to meet deadlines.

**Further information**:

- A full CV, with a list of all publications
- A 2-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.



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