Join Our Team at the School of Physical and Mathematical Sciences Nanyang Technological University Singapore
The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography computing business and finance. PAP covers many areas of fundamental and applied physics including quantum information condensed matter physics biophysics and photonics. Over the years SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.
Key Job Purpose:
We have an opening for the position of Research Assistant for a research project related to statistical learning of time-series models. The successful candidate will work with Hemant Tyagi (NTU Singapore) and Chew Lock Yue (NTU Singapore) in collaboration with Ernesto Araya (LMU Munich) on extending ourrecent workon matching correlated VAR time-series models. The duration of this project is expected to be between 4-6 months and could potentially lead to a PhD position at SPMS in NTU Singapore (based on performance).
Key Responsibilities:
Contribute to the development of algorithms
Develop codebase in Python and perform large-scale simulations on synthetic/real data sets
Report the findings in the form of a report/article with the aim of publishing in ML journal/conference
Job Requirements:
Bachelors in Mathematics/Computer Science/Statistics or related fields
Strong background in probability and statistics as evidenced by coursework
Good written and oral communication skills
Good knowledge of Python
Good interpersonal skills
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTURequired Experience:
Junior IC
Nanyang Technological University is one of the top universities in Singapore offering undergraduate and postgraduate education in engineering, business, science, humanities, arts, social sciences, education and medicine.