Research Fellow, Statistics and Data Science
- Recruiter
- NATIONAL UNIVERSITY OF SINGAPORE
- Location
- Singapore
- Posted
- 07 Mar 2023
- End of advertisement period
- 06 Apr 2023
- Ref
- 13163544
- Academic Discipline
- Clinical, Pre-clinical & Health, Medicine & Dentistry, Engineering & Technology, Computer Science, Life sciences, Biological Sciences, Physical Sciences, Mathematics & Statistics, Physics & Astronomy
- Job Type
- Academic Posts, Research Fellowships
- Contract Type
- Permanent
- Hours
- Full Time
Job Description
The successful candidate will work with Dr. Michael Choi and co-supervised by Dr. Wenqian Chen on stochastic algorithms with applications in bioinformatics and protein folding under a project on MAPLE: Mechanistic Accelerated Prediction of Protein Secondary Structure via LangEvin Monte Carlo, supported by a Ministry of Education Tier 1 grant under the Data for Science and Science for Data collaboration scheme.
The main responsibilities of the position include:
- Develop and analyze new stochastic algorithms with applications in bioinformatics and protein folding
- Conduct numerical and possibly physical experiments to support the theoretical findings
- Conduct literature review in bioinformatics and protein folding
Qualifications
- Qualifications / Discipline:
- Ph.D. degree in Applied Mathematics, Statistics, Computer Science, Physics or Biochemical Engineering with research interests in stochastic algorithms, bioinformatics and related fields.
- Skills:
- Research level knowledge in understanding state-of-the-art stochastic algorithms in bioinformatics and protein folding. Ability to develop new algorithms in Python.
- Experience:
- Prior research experience in stochastic algorithms and bioinformatics is preferred.
Covid-19 Message
At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.
Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.
More Information
Location: Kent Ridge Campus
Organization: Science
Department : Statistics and Data Science
Employee Referral Eligible: No
Job requisition ID : 18761
