Computational Research Specialist

4 days ago


Singapore NTU (Nanyang Technology University- Main Office-HR) Full time
About the School of Physical and Mathematical Sciences
At NTU Singapore, the School of Physical and Mathematical Sciences (SPMS) is a leading institution for research and education 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 applications in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics.

The School has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers. We are seeking a motivated and adaptive individual to join our team as a Research Fellow to start as soon as possible. This position is funded by a Ministry of Education AcRF Tier 2 grant of Li Yi. The goal of the project is to develop new theory and algorithms for massive datasets, with a particular focus on online algorithms related to numerical linear algebra.

Key Responsibilities:
The main duty of this position is to pursue cutting-edge research in algorithms for massive datasets, such as dimension reduction techniques, streaming algorithms, and online algorithms. You are also expected to write or contribute to publications, and attend conferences and workshops, for disseminating research findings. Travel support is possible.

Job Requirements:
  • You will need to have (or expect to obtain shortly) a PhD in theoretical computer science, mathematics, or a relevant area.
  • You are expected to have a good background in probability in computing.
  • You are expected to have a good record of relevant publications.
  • Research experience in problems related to metric embeddings, non-asymptotic analysis of random matrices or big data algorithms would be an advantage, but we also welcome applicants with different backgrounds who are keen to apply their knowledge to new problems.


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