Total 3 supply chain operator job vacancies in Education / Training category in D22 Jurong, Jurong Island, Tuas

The Singapore Centre for Environmental Life Sciences Engineering (SCELSE) is a unique interdisciplinary Research Centre of Excellence (RCE), funded by National Research Foundation, Ministry of Education, Nanyang Technological University (NTU) and National University of Singapore (NUS). Hosted by NTU in partnership with NUS, SCELSE is linking new insights from the life sciences with expertise from emerging technologies in engineering and natural sciences to understand, harness and control microbial biofilm communities.

We are seeking to appoint a motivated individual to join our team at SCELSE as a Research Fellow. The successful candidate will lead projects that focus on obtaining a detailed molecular mechanistic understanding of microbial biofilm development, and microbe-microbe interactions, in settings relevant to food spoilage and the food chain. The selected candidate will work independently, with other team members, and with collaborators to perform both in vivo and in vitro experiments to address specific scientific questions related to biofilm development/community interactions in these settings.

Key Responsibilities:

• To plan, perform and document laboratory experiments to study biofilm development and community interactions.
• Work closely with the Principal Investigator to analyse and interpret data, troubleshoot experiments and write manuscripts on research outputs.
• To train students/staff in the lab in relevant techniques and contribute to co-supervision of some of these team members.

Job Requirements:

• PhD in biology, biomedicine, microbiology or a related field.
• Experience in general microbiology processes is essential.
• Ability to design, plan, and execute experiments independently is essential.
• Experience in biofilm research is desirable but not essential.
• Experience with metagenomics, metabolomics and fluorescence microscopy is desirable but not essential.

** Initial contract duration for 12 months, with the potential for extension.

We regret that only shortlisted candidates will be notified.

The School of Civil and Environmental Engineering (CEE) is looking for a candidate to join them as a Research Associate.

The research associate will work on a project to conduct the research on development of public trust and acceptance in future intelligent vehicles.

Key Responsibilities:

• Assist in experiment and questionnaire design
• Develop multinomial logit models for intelligent vehicles
• Conduct data analysis of public trust and acceptance in intelligent vehicles
• Formulate strategies to promote human-machine cooperation
• Responsible for manuscript preparation

Job Requirements:

• Master’s Degree in Transportation Management, Supply Chain & Logistics Management, Economics, Data Science or related field
• Expertise in survey design
• Proficient in statistical modelling and econometrics
• Research on the human-machine interaction of intelligent vehicles
• Prepare and publish research papers on top journals
• Knowledge in the transport industry is an advantage
• Good publication track record is an advantage
• Proficiency in English is an advantage for data analysis

We regret to inform that only shortlisted candidates will be notified.

We are seeking a Research Associate to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to Deep Reinforcement Learning in Retail Logistics Supply Chain Optimization.

Key Responsibilities:

• To independently undertake research in deep learning
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community
• To provide guidance and support to any students associated with the project
• To attend, contribute, and where necessary lead relevant meetings
• To undertake any other duties relevant to the programme of research

Job Requirements:

• Master’s degree in Computer Science, or a related discipline
• Have a solid foundation in at least two of following areas: Computer Science, Machine Learning, Deep Learning, Data Management
• Strong publication records in top-tier machine learning conferences/journals, such as NeurIPS, ICLR, ICML, AAAI, etc.
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
• Demonstrate outstanding communication skills, clear logical thinking, and willingness to learn

We regret that only shortlisted candidates will be notified.