64 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
. Any other matters as directed by Director/Deputy Director of CoDE. Job Requirements A good degree in Computer Science or a related field. Masters, PhD and/or relevant professional certifications would
-
21 Aug 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Management sciences Computer science Researcher Profile Recognised Researcher (R2) First Stage
-
the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in
-
Singapore Application Deadline 26 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
participating in and managing student projects. Any other matters as directed by Director/Deputy Director of CoDE. Job Requirements A good degree in Computer Science or a related field. Masters, PhD and/or
-
relevant global tech think-tanks, conferences, and advisory platforms to represent SIT and draw global insights into local contexts Job Requirements PhD in a relevant science or engineering field, with
-
staff members and students Prepare research manuscripts, presentations and grant proposals Other ad hoc duties that may be assigned Requirements PhD degree in biomedical engineering or other relevant
-
step change improvements in process performance; Informatics for process and product development with a background in big data applications in biotechnology, process development or food technology
-
Requirements: Have relevant competence in the areas of material science and chemical synthesis Have a degree in materials science/ chemistry. Possessing a Master’s or PhD degree will be advantageous with prior
-
interdisciplinary team on developing high performance urban farming module via computational and empirical analysis Support in the design and maintenance of the vertical farm to be setup in SIT@Dover and willing