postdoc A*STAR Deep learning guided antimicrobial polymer discovery
4 Janvier 2022
Catégorie : Post-doctorant
We are looking to hire a postdoc to work on an exciting interdisciplinary collaboration project between the Bioinformatics Institute (BII, A*STAR) and the Institute of Bioengineering and Bioimaging (IBB, A*STAR). In this two years project, we are aiming to develop a deep learning model for the prediction of potential antimicrobial agents using a combination of well-established public datasets and an in-house database. Prior knowledge in deep learning is NOT REQUIRED, although candidates with deep learning expertise are welcomed. Training on deep learning is provided on the job. Appreciate it if you can forward this job description to your colleagues or to any potential candidates.
Project Description :
Artificial intelligence (AI) techniques have been employed in the niche field of macromolecular
therapeutics to accelerate the development of new, highly selective antimicrobial polymers. However,
current AI methods utilize simplistic representations in creating models to identify non-hemolytic
antimicrobial polymers. As such, we at the Bioinformatics Institute (BII, A*STAR) are looking to hire a
postdoc to work on an exciting interdisciplinary collaboration project with the Institute of
Bioengineering and Bioimaging (IBB, A*STAR). In this two years project, we are aiming to develop a
deep learning model for the prediction of potential antimicrobial agents using a combination of
well-established public datasets and an in-house database. You will be working among a team
consisting of people with different domain expertise such as biologists, polymer chemists,
bioinformaticians, and AI scientists. Therefore, the ideal candidate should be a team player who can
formulate and execute creative ideas for a given problem. Join us if you are excited about improving
the quality of healthcare and interested in learning AI skills. Interested applicants are welcome to
email a full CV and a one-page letter of intent summarizing past experience and strengths as well as
contact details of two referees to Eddy ( email@example.com ) and Malay Singh
( firstname.lastname@example.org ).
What is in it for you?
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. 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 be trained to be in the very
niche area of applying graphical neural networks for macromolecular therapeutic applications. This is
the differentiating factor for you as a postdoctoral research fellow at our lab. You will also learn to
sharpen your communication, collaboration, project management, and leadership skills.
1. Assist in the development and maintenance of an antimicrobial database
2. Develop and implementation of novel AI algorithms for the prediction of antimicrobial and
3. Periodically present the progress to the group and submit the research findings to top-tier
journals and conferences
1. Ph.D. in Computer Engineering, Computer Science, Mathematics, Statistics, or related
2. Proficient in python programming
3. Excellent communication (verbal and written) and presentation skills
4. Curious, detail-oriented, and analytical, with a proven ability to learn quickly
5. Ability to work as a team player, which includes the willingness to contribute ideas and
knowledge with peers
6. Ability to adjust according to the pace of the project and its changing requirements.
Following skill sets are optional but will be advantageous for applicants to highlight any relevant
experience(s) in the submitted CV.
1. Experience in machine/deep learning with a focus on graphical neural networks
2. Knowledge in chemistry, biochemistry, and antimicrobial agents
3. Having worked in multidisciplinary teams
For more information, please visit the CVPD websites: http://web.bii.a-star.edu.sg/~leehk/ and