Offre en lien avec l’Action/le Réseau : RoCED/– — –
Laboratoire/Entreprise : Computer Vision and Pattern Discovery group of Bio
Durée : + 1 an
Contact : leehk@bii.a-star.edu.sg
Date limite de publication : 2022-09-18
Contexte :
The advancement of Artificial Intelligence enables the extraction of quantitative information from high resolution biomedical images. New knowledge, skills, and approaches are required to develop novel, efficient and reliable computational tools for emerging challenges in biological and biomedical studies. Our project is supported by close collaborations with local hospitals.
Sujet :
You will be working in a team of AI researchers who have a deep understanding of the fundamentals of deep learning and have considerable experience in applying deep learning to different problems. Our group has a well established reputation in developing AI solutions for digital pathology image analysis, radiology images and digital health. You will have the opportunity to learn and hone your AI skills through this project as well as by learning from other on-going projects in the team. You will receive training and guidance to be in the niche area of applying deep learning for bioimage analysis applications. You will learn both AI along with guiding clinical/medical knowledge in this project. This will be the differentiating factor for you as an AI scientist at our lab. You will also learn to sharpen your communication, collaboration, project management and leadership skills.
Responsibilities:
1. Develop AI methodologies to perform computer assisted diagnostics.
2. Work closely with collaborators to fully understand the clinical problems.
3. Design and conduct the experiments to assess the proposed AI models’ performance.
4. Collaborate with the team members via discussions, study groups, guiding students/interns/research officers.
5. Periodically present the progress to the group and submit the research findings to top-tier journals and conferences
Profil du candidat :
We are looking for a researcher with a creative mind, strong communication skills and a team player to work with us on collaborative projects with multiple local hospitals.
Formation et compétences requises :
1. Undergraduate, masters or PhD with a strong background in Computer Science, Mathematics, Statistics, Biomedical Engineering or relevant fields.
2. Prior knowledge in machine learning and prior domain knowledge medical image analysis is NOT REQUIRED. Training for these domains will be provided on the job.
3. Experience and versatility in programming especially in python.
4. Familiarity with PyTorch and/or TensorFlow is NOT REQUIRED but would be a plus.
5. Good communication skills, a team player and willing to share ideas and knowledge with peers .
6. Candidates should be able to work in a fast paced environment.
Adresse d’emploi :
This Research Fellow position for Artificial Intelligence research is available in the Computer Vision and Pattern Discovery (CVPD) group of Bioinformatics Institute (BII), A*STAR, Singapore.
For more information, please email Hwee Kuan Lee (leehk@bii.a-star.edu.sg) and Wei Liu (liuwei@bii.a-star.edu.sg). Visit the CVPD websites for more informaiton: http://web.bii.a-star.edu.sg/~leehk/ and https://www.a-star.edu.sg/bii/research/ciid/cvpd