Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is open immediately in the Department of Mechanical Engineering, National University of Singapore. Successful candidate is expected to work in the field of AI for Science. Especially, the work is to develop advanced AI models for computational physics and computational materials applications. The candidate will also conduct calculations using DFT and/or AIMD for generating training dataset.

Qualifications

Candidates should have a master’s degree in physics, Materials Science, Electrical Engineering, Mechanical Engineering or a closely related field. They should also have excellent communication skills, both oral and written, and able to guide undergraduate students to conduct projects. Successful candidate is expected to perform DFT/AIMD calculations to understand the underlying physics for explainable AI model development. The candidates have higher priority if they have the background of the AI for Science.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

• Do research for topics covered in upcoming productions
• Produce audition scripts for potential talents such as show hosts
• Produce episodic scripts
• Produce scripts for show extensions such as digital content on social platforms
• Collate information for intra and inter-department meetings or sharing sessions
• Brainstorm ideas for new or upcoming shows
• Brainstorm ideas to pitch for new shows
• Conduct in-depth research on a wide range of topics
• Write creative scripts for genres like variety, lifestyle, gameshow, entertainment specials, magazine and shows etc
• Ideate new show concepts
• Participate in company-wide strategic initiatives

• Good command of English
• 2 years' experience is preferable
• Diploma in Creative Writing or Mass Communications
• Able to craft compelling narratives
• Able to craft compelling narratives
• Keen understanding of current trends in entertainment
• Ability to collaborate effectively with producers and creative teams

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

This project will study and propose feasible solution to retrofit existing coastal protection structures. Special feature of this proposed solution is that it must be able to reduce seawater seepage, using innovative way of impervious material. The solution must also be modular in nature, such that it can be stack onto the existing seawall or the previously installed layer.

This research fellow will help the PI and Co-PI in overseeing the project in general and help in drafting the reports. In particular, he/she is responsible for

• Design and executive of centrifuge testing in this project.
• Design a wave generation inflight in centrifuge model.
• Model the impermeability of the new proposed modules, and its connection with the existing seawall.
• Data interpretation and summary the laboratory tests, arrive at some key findings on the future design.

Job Requirements

• Possess a PhD in geotechnical engineering or related civil engineering
• At least 2 years of experiences in various capacity.
• Has strong geotechnical knowledge.
• Be an independent researcher.
• Familiar with geotechnical FEM modelling software and their applications.
• Able to analyse test data.
• Able to draft sound technical report.
• Highly motivated in doing research work.
• Innovative in thinking. Able to work in a team.
• Strong communication ability. Able to write and communicate well.
• Open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

This project will study and propose feasible solution to retrofit existing coastal protection structures. Special feature of this proposed solution is that it must be able to reduce seawater seepage, using innovative way of impervious material. The solution must also be modular in nature, such that it can be stack onto the existing seawall or the previously installed layer.

This research engineer will be responsible for the conduct of literature review, planning, designing, and carrying out of laboratory modelling on the proposed solutions – in both 1g scaled model and in geotechnical centrifuge model. He/she will perform the data collection and data analysis.

Job Requirements

• Possess a bachelor’s degree in engineering (Civil) or related field.
• Has strong basic geotechnical knowledge.
• Be able to write technical reports and prepare technical presentation.
• Be an independent researcher.
• Highly motivated in doing research work.
• Innovative in thinking.
• Able to work in a team.
• Strong communication ability - both oral and written.
• Open to fixed term contract

We are seeking a highly motivated and skilled Research Officer to join our team. The successful candidate will be responsible for implementing and optimizing algorithms for the generation of synthetic RNAs. This role involves a strong emphasis on computational biology, algorithm development, and the application of machine learning techniques to simulate RNA sequences and structures.

Key Responsibilities:

• Develop, implement, and optimize algorithms for generating synthetic RNA sequences with specific properties.
• Collaborate with cross-functional teams to integrate these algorithms into our synthetic biology platform.
• Analyze large datasets to validate the accuracy and efficiency of generated synthetic RNAs.
• Work closely with experimental biologists to design in silico RNA sequences that can be tested in the lab.
• Contribute to the development of software tools that assist in the design and simulation of synthetic RNAs.
• Stay updated with the latest research and technological advancements in the field of RNA biology and synthetic biology.
• Document research findings and present them at internal meetings and external conferences.

Requirements:

• A Master or Bachelor degree in Computational Biology, Bioinformatics, Synthetic Biology, Computer Science, Statistics, or a related field.
• Strong programming skills in languages such as Python, R, or C++.
• Experience with RNA sequence analysis, algorithm development, or machine learning is preferred.
• Familiarity with RNA secondary structure prediction and synthetic biology principles is a plus.
• Ability to work independently as well as collaboratively in a multidisciplinary research environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, both written and verbal.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description

• Perform day-to-day security operations in the Club.
• Remind and enforce security policies and procedures to members and employees.
• Maintain a safe and secure environment for our members and employees in the Club.
• Oversee car park operations and render assistance where necessary.
• Perform any other related duties as assigned by the management.

Requirements:

• Possess valid Security Officer Licence.
• Physically fit and healthy.
• Friendly and service-oriented personality.
• Positive work attitude, team player, good interpersonal skills and ability to multitask.

Other Information

• 44 hours work week.
• Work location: West Coast Ferry Road (Bus 175 and 176) beside West Coast Park.
• Company transport provided (Clementi MRT Station).
• Meals provided.

Project Overview

The SMART Low Energy Electronic Systems IRG aims to identify new integrated circuit technologies that become the new added value for reduced energy per function, lower power consumption, and higher performance in our electronics infrastructure. These integrated circuits of the future are expected to impact applications in wireless communication, power electronics, LED lighting, printing, displays, and computing. The research is performed by teams that have expertise in materials, devices, and circuits, invoking new advances at all levels to produce electronic systems that perform new functions while decreasing system energy consumption. The initial technology goals are in the areas of Power Electronic Systems, Efficient Communications, and Multi-Functional Displays and Lighting Systems.

Responsibilities

• Semiconductor tool maintenance and stocking up of laboratory consumables
• Manage contractors/vendors and conduct risk assessment
• Regulatory licence submissions and statutory audits
• Incident report writing and follow-up with corrective actions
• Design and build engineering solutions to improve tool uptime
• Assist Programme Manager with continuous improvement projects

Requirements

• Degree or Diploma holders with > 3 years of relevant experience
• 2-3 years of experience working in a semiconductor chemical lab and cleanroom
• Knowledge of Microsoft Office
• Troubleshooting skills (electrical & mechanical) on equipment
• Strong attention to detail with good presentation skills
• Be part of Emergency Response Team (Training will be provided)
• Ability to perform physically demanding work such as moving and lifting equipment, handling of hazardous chemicals/gases/wastes

This is a one-year full-time contract position.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

Job Description

• Input data of every import shipment (consolidation or direct) in Kewill Enterprise Forwarding (KEF) system.
• Notify consignees or their appointed forwarders of shipments' arrival via phone or email.
• Calculate the terminal and air freight charges for import shipment released to the consignees or their forwarders.
• Release import document (AWB, Invoice & Packing List) to the consignees or their forwarders.
• Collect payment of terminal and air freight charges from the consignees or their forwarders.
• Apply cheque advance/e-payment for payment of terminal and airfreight charges to the terminal or other forwarder.
• Manifest submission within 7 days of shipment arrival.
• Ensure correct type of import permit, accuracy, and compliance in Tradenet declaration.
• Issue delivery order, confirm delivery address, and arrange delivery with appointed contractor.
• Prepare invoice with KEF.
• Hand over the completed jobs to Account Section on time for monthly accounts closing.
• Compliance with Integrated Management System (IMS) requirements.

Job Requirements:

• Candidate must possess at least O" Level

• Minimum 1 year of experience in shipping industry.

• Knowledge of Air Freight import documentations, Singapore shipping procedure & freight forwarding experience

• Responsible and committed team player

• Motivated individual and possesses good planning and follow-up skills

• Able to handle high volume of workload in a fast-paced environment

• Immediate Starter will be an added advantage.

• Working location: Clementi

• People with disabilities are welcome to apply.

We are looking for a motivated bioinformatics specialist who is keen on studying how microbes contribute to common skin diseases such as eczema and acne. Our lab is focused on leveraging new technologies to better study microbial populations and their impact on human health. We have extensive experience in metagenomic analysis in clinically or commercially important contexts such as uncovering distinct microbial communities in households affected by paediatric eczema (PMID: 35318044) and revealing the microbial basis of body odour in teenagers (PMID: 30497517). We are now focusing on applying various -omics capabilities to larger sized disease cohorts to understand how microbial pathways and biomarkers change with disease progression and treatment. The successful candidate will have the opportunity to work in a highly interdisciplinary environment, with unique access to next-generation sequencing technologies and a wide range of samples. Project findings will have direct applications to ongoing and new microbiome research projects in the lab, particularly in skin diseases.

The Nagarajan Lab is based in the Genome Institute of Singapore (GIS) which is the national flagship program for genomic sciences in Singapore with a mission to use genomics to improve public health and national prosperity. Singapore is a highly cosmopolitan city-state at the cross-roads of Asia with one of the highest standards of living in the world. The GIS provides an internationally competitive remuneration package and relocation assistance.

Requirements:

• Bachelors degree in Computational Biology, Computer Science, Data Science, or a related field.
• Strong analytical and programming skills (Python, R, UNIX environment etc).
• Familiarity with Bioinformatics tools for RNA seq analysis and pipeline building will be useful.
• Interest in exploring biological questions and some course work in statistics is preferable.

How To Apply: Please e-mail your curriculum vitae and contact details of referees to Niranjan Nagarajan ([email protected]) and Minghao Chia ([email protected])

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are looking for a self-motivated candidate with expertise in high performance digital design and system level architecture modeling to join our Heterogeneous System design team. This candidate will work closely with IME’s advanced packing team and contribute to the exploration, optimization and development of multicore & multi-chip system using IME’s heterogeneous integration platform.

Job Description:

· Digital IC Design and system-level exploration:

o Lead and contribute to the design and development of digital integrated circuits, ensuring they meet performance and functionality requirements.

o <!-Emphasize a system-level perspective in the design process, considering overall system architecture and functionality.

o Apply a deep understanding of cryogenic temperature effects on digital ICs and implement design strategies for optimal performance in low-temperature environments.

o Incorporate Edge AI principles into digital IC designs, enabling efficient and intelligent processing at the edge of the network.

o RTL implementation for custom circuit design using Verilog/SystemVerilog

o Derive specs and implement necessary customized and highly efficient building blocks such as systolic array, data path controller, scheduler, integer and floating-point processing engine, FFT, etc which are frequency used in various computing architecture such as in-memory computing, deep learning and neuromorphic computing.

· Simulation, Verification, and Implementation:

o Conduct thorough simulation and verification of digital designs to validate functionality and performance.

o Utilize FPGA in digital IC designs, leveraging its flexibility and reconfigurability for system emulation and architecture exploration

o Perform timing analysis and collaborate with the team to optimize designs for timing closure.

o Contribute to power analysis activities and implement power-efficient design techniques.

Publish research works in prestigious conferences and Journals such as ISSCC, VLSI Symp, A-SSCC, DAC, JSSC and TCAS-I/II.

· Collaborate closely with cross-functional teams, including hardware and software engineers, to seamlessly integrate digital ICs into the overall system architecture.

· Prepare detailed design documentation, including specifications, test plans, and reports.

· Troubleshoot and debug digital IC designs with a focus on identifying and addressing system-level issues.

· Bring creative and innovative solutions to design challenges, staying abreast of industry trends and emerging technologies.

Requirements: Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field. The candidate should have prior experiences in IC tape-out of digital/mixed signal SoC and system level modelling and optimization using industry standard tools from leading EDA vendors such as Cadence, Synopsis and Matlab.

We are looking for a self-motivated candidate with expertise in high performance digital design and system level architecture modeling to join our Heterogeneous System design team. This candidate will work closely with IME’s advanced packing team and contribute to the exploration, optimization and development of multicore & multi-chip system using IME’s heterogeneous integration platform.

Job Description:

· Digital IC Design and system-level exploration:

o Lead and contribute to the design and development of digital integrated circuits, ensuring they meet performance and functionality requirements.

o <!-Emphasize a system-level perspective in the design process, considering overall system architecture and functionality.

o Apply a deep understanding of cryogenic temperature effects on digital ICs and implement design strategies for optimal performance in low-temperature environments.

o Incorporate Edge AI principles into digital IC designs, enabling efficient and intelligent processing at the edge of the network.

o RTL implementation for custom circuit design using Verilog/SystemVerilog

o Derive specs and implement necessary customized and highly efficient building blocks such as systolic array, data path controller, scheduler, integer and floating-point processing engine, FFT, etc which are frequency used in various computing architecture such as in-memory computing, deep learning and neuromorphic computing.

· Simulation, Verification, and Implementation:

o Conduct thorough simulation and verification of digital designs to validate functionality and performance.

o Utilize FPGA in digital IC designs, leveraging its flexibility and reconfigurability for system emulation and architecture exploration

o Perform timing analysis and collaborate with the team to optimize designs for timing closure.

o Contribute to power analysis activities and implement power-efficient design techniques.

Publish research works in prestigious conferences and Journals such as ISSCC, VLSI Symp, A-SSCC, DAC, JSSC and TCAS-I/II.

· Collaborate closely with cross-functional teams, including hardware and software engineers, to seamlessly integrate digital ICs into the overall system architecture.

· Prepare detailed design documentation, including specifications, test plans, and reports.

· Troubleshoot and debug digital IC designs with a focus on identifying and addressing system-level issues.

· Bring creative and innovative solutions to design challenges, staying abreast of industry trends and emerging technologies.

Requirements: Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field. The candidate should have prior experiences in IC tape-out of digital/mixed signal SoC and system level modelling and optimization using industry standard tools from leading EDA vendors such as Cadence, Synopsis and Matlab.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

A researcher position is available to carry out world-class research on developing flexible electronic materials and devices. The research works include the preparation and characterization of flexible and devices, data analysis, preparation of technical reports and manuscripts, and supervising junior researchers.

Qualifications

The successful candidate is expected to possess a PhD degree in materials science and engineering or related discipline. The candidate should have solid knowledge and research achievements inpolymer electronics. He/she should have hand-on research experience in the preparation and characterization of conductive polymers or semiconductive polymers.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a research engineer that has recently completed their master in a STEM field to work on interpretable machine learning for scientific applications.

Qualifications

• Master of Science in STEM or related field
• Proficiency in machine learning, dynamical system theory, interpretability
• Good coding skills, especially in Python

Job Overview

This role will be in our HSSE Department in the office. It’s a role focusing and/or implementing responsibilities on HSSE matters at the corporate level such as the combination of reporting, inspection, coordinating, liaising, conducting monthly office HSSE committee meetings, and safety and environmental policy development. It is also required to interact and collaborate with fellow HSSE counterparts at the operational level. The successful incumbent in this role is someone who has relevant years of HSSE working experience (both at the corporate and operational levels), familiar with the relevant local HSSE legislation and OSHA regulations (particularly those relating to the oil and gas industry), and experience of managing and working with different type of stakeholders.

Responsibilities:

• Conduct In-house HSSE training for new employees.
• Management of ISO 14001 & ISO 45001 documentation and implementation.
• Conduct internal HSSE audits and HSSE Corporate requirements.
• Collaborate work with JGCAP group companies in organizing and meeting HSSE deliverables.
• Networking with JGC YOC & JGBL on HSSE program implementation as part of continual improvement.
• Prioritizing and shaping HSSE tasks to meet on-time delivery of requests in an efficient manner.
• Support local and JGCAP project teams on HSSE matters.
• Liaise with external industry groups on HSSE trends and developments in the oil and gas industry.
• Ensuring Compliance and liaising with relevant Singapore government agencies and authorities on relevant HSSE-related matters, including impacts of HSSE legislations and regulations on our Company’s operations.
• Undertake ad-hoc duties as assigned.

Skill Requirement:

• Min- Specialist Diploma in Workplace Safety and Health.
• At least 5 years working experience as a HSSE professional in the construction and oil and gas industry.
• Registered Workplace, Safety & Health Officer.
• Registered Environmental Control Officer.
• Possess good public speaking and presentation skills.
• Leadership personality traits.
• Ability and analytical skills in solving HSSE problems swiftly and amicably.
• Possess training skills is core to HSSE competency.
• Possess ISO Training Certification for 9001, 14001 & 45001.
• Familiar with ISO14001 & ISO 45001 procedures and implementation.
• Familiar with BizSafe application.
• Familiar with Construction Safety Audit Scoring System (ConSASS).

Interested parties, please send in your detailed resume.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The East Asian Institute at the National University of Singapore is looking for a Research Fellow with an excellent university degree, preferably with working experience in research on China and East Asia, with focus on sociology, public health, education and international development, and geopolitical analysis.

He/she will be part of a team covering a wide scope of research topics including the following but not limited to:
Social inequality, social stratification, social mobility, educational inequality, human capital, educational discrimination, China-ASEAN relations, China-ASEAN health and vaccine diplomacy, China-ASEAN Belt and Road Initiative (BRI) cooperation, China’s soft power.

The Candidate must have a relevant PhD with a proven track record of competency in independent research.

We seek a passionate research engineer to work on the development of novel ultrathin liquid metal oxides for applications in two-dimensional material heterostructure nano-electronics. This project aims to develop scalable techniques to create atomically smooth dielectric interfaces with 2D semiconductors to enable next-generation devices.

Job Description:

• Synthesize and characterize novel liquid metal based ultrathin 2D oxides.
• Fabricate, and measure electronic and quantum devices using 2D materials, such as field effect transistors, tunnelling transistors, and gate-defined quantum dots.
• Optimize and document fabrication recipes and material processing capabilities within the research group.
• Prototype, upgrade, and customize experimental setups.
• Ensuring experimental systems are serviceable through regular maintenance.
• Automate measurements and analyze data.
• Assist in filing technology disclosures and technical documentation.
• Assist in preparing manuscripts for publication.

Requirements:

• Bachelor's degree in mechanical engineering, chemical engineering, material science, applied physics/chemistry or related fields.
• Experience with gloveboxes and cleanrooms.
• Experience with deposition equipment such as atomic layer deposition and thermal evaporation.
• Experience with 2D material synthesis, processing, and stacking.
• Knowledge of basic programming languages such as Python.
• Strong team player.
• Resourceful in problem solving.
• Meticulous and analytical in experimental work.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Solar Energy Research Institute of Singapore (SERIS) is looking for suitable candidate(s) to fill in Research Engineer position(s).

• The applicant will coordinate and/or attend site inspections related to Solar PV installation works and prepare a periodic report of findings for submission to Client.
• The applicant will assist in the Testing and Commissioning activities for Solar PV installations.
• The applicant will act as SERIS technical representative between Client and their appointed Solar PV Contractor. Attend and participate in meetings when required.
• Define the client specification into either a departmental action or subcontractor order. Produce deliverables on-time to client’s requirements, clarifying these requirements where necessary.
• Help manage and track the teams’ equipment and tools to ensure task carry out are to the required quality and standard. Liaise with suppliers when necessary.
• The applicant will assist in Lender’s Technical Advisory and assist in Owner’s Engineering projects, both of which include client interfacing, documentary and contract reviews, compliance
  check, site inspections and supervision on behalf of clients, and report writing.
• The applicant will have project management and leadership responsibilities.
• The applicant will assist in other group activities where required by the direct supervisor and group head.

Requirements

• At least a Diploma in Engineering (Civil, Mechanical or Electrical)
• Bachelor’s degree in Engineering is preferred, though proven working experiences in coordinating and/or managing Solar PV installation can offset this.
• At least 3 years’ experience in coordinating and/or supervising Solar PV installation or at least 2 years’ experience in a project management role in the PV, consultancy, or construction industry.
• Knowledge of PV systems O&M will be advantage. Internship in related field highly desired.
• Experience in other forms of electrical engineering works will also be considered.
• Comfortable to work in an outdoor and rooftop environment. Having “Work at Height” certification or equivalent is an advantage.
• Demonstrates initiative on moderate problem solving within assigned tasks.
• A dynamic team-player with a positive effect on the mood in an on-site group setting.
• Resilient, optimistic and open to change. Shows moral courage, openness and honesty in all dealings
• Proficient with Microsoft Office, especially Excel skills and able to analyses data or related a programming language.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in NExT++ Research Centre, School of Computing (SoC). With a strong research interest in the Social Media Analytics, the Research Fellow will work closely with the Lead PI, Prof Chua Tat Seng in carrying out in-depth research to deal with huge volume of real-time rich multi-model data, scalable big data analytics and re-examine the role of man-machine symbiosis at all levels of framework.

About us

NUS-Tsinghua Centre for Extreme Search (NExT++) is the first of its kind research centre jointly established by the National University of Singapore (NUS) and Tsinghua University of China. When the Centre was started in 2010, it aimed to offer live social media information that is not available on web. NExT had carried out pioneer research on rich media content analytics and search, live social media analytics, and has since built the large-scale systems for live social observatory, wellness and QA. With a dramatic evolution in the social media landscape, NExT++ envisions to empower users through evolving web intelligence. With offering a leading edge big data infrastructure and system, NExT++ will be a hot bed for top quality research and the playground for commercialization and start-ups.

Qualifications

• A PhD degree in Computer Science/Computer Engineering
• Possess strong background in Mathematics, Algorithms and Social Media Analytics
• Excellent knowledge in deep learning frameworks, e.g., PyTorch, Tensorflow, Nengo
• Good written and verbal communication skills in English
• Familiarity with non-fully supervised learning
• Result motivated
• Prior publications in major computer vision (CVPR/ICCV/ECCV) or machine learning (NeurIPS, ICML/ICLR) conferences is a plus

Only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore – which is the top ranked university in Asia – is recruiting full-time Practice Track faculty staff at the Associate Professor or Professor ranks for the Saw Swee Hock School of Public Health (SSHSPH).The Practice Track is a non-tenurable track, open to scholar-practitioners with professional skills and expertise in industry to complement the existing teaching and research expertise of the University. At first and subsequent reappointment, the contract offered may range from 1 to 5 years.

New faculty members may be eligible for subsidised university accommodation, in addition to an attractive salary and benefits package.

The successful candidate will be expected to contribute to education, faculty development, and service, and complement the research efforts of the Faculty/School where appropriate. In particular, the successful candidate will be expected to contribute significantly to the School’s Master programme and public health practice-related research collaborations with the Ministry of Health Singapore and other stakeholders in Singapore’s health system. They are also expected to contribute significantly to the outreach activities of the School. These include executive education and collaboration with relevant institutions which will enhance the reputation of the Faculty/School.

Researchers active in one or more of the following areas are particularly encouraged to apply:

• Economic evaluation of public health interventions and/or health technologies;
• Comparative effectiveness analysis including systematic review, meta-analysis, and analysis of real-world evidence;
• Economic theories to support healthcare resource allocation or priority setting.

Qualifications

• At least 6 or more years’ of practice experience at a senior level in a managerial, professional or specialist role with demonstrated leadership in the profession;
• Track record of leading and completing high-impact public health-practice related projects;
• Ability to generate and maintain an independent stream of research funding;
• Ability to teach public health courses at both undergraduate and graduate levels;
• Ability to work in multidisciplinary teams;
• Ability to work with culturally diverse populations.

Responsibilities

Responsibilities include:

• Administrative leadership and teaching in the Master programme;
• Graduate student advising;
• Contributing to policy/community development in the field of public health;
• Establishing an independent research agenda through extramural funding.

More Information

To apply, please submit a cover letter specifying your research and/or teaching interests and experience, your curriculum vitae, names and contact details of 3 references.

For more information on NUS please visit: www.nus.edu.sg. For more information about the Saw Swee Hock School of Public Health please visit www.sph.nus.edu.sg.

Please note that only shortlisted candidates will be contacted.

• Position: Logistic Coordinator/Officer
• Location: Benoi
• Working hours: 5 days, Monday to Friday (8.30am to 6.00pm)
• Salary (commensurate on experience): Up to $3800 + AWS and OT
• Duration: Permanent
• Industry: Logistics (MNC)

Main Responsibilities:

• Guide a team of coordinators associates to provide administrative support to the Operations.
• Handle order processing, prepare and maintain reports and files for all operations records,
  correspondence, plans, and expenses.
• Assist in the coordination and preparation of all necessary documentation for the movement of
  cargo.
• Perform tracking and tracing functions, and assist in the daily warehouse and administrative
  activities and communications
• Liaise closely with external parties to ensure shipments are expedited smoothly.
• Correspondence and liaison with customers and to attend to their enquiries.
• Handle any other ad-hoc / administrative duties.

Requirements:

• Proven experience in logistics, material planning, or coordination roles within a technical or data center environment.
• Familiarity with data center hardware, equipment, and related components; understanding of inventory management systems is preferred.
• Good Knowledge in Warehouse Management System (WMS)
• Minimum 'O' levels or Diploma in Logistics or Business Administration
• Good customer relationship management skills
• 
  

Email me at [email protected]

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We do not charge our candidates any referral fee nor bind them with any contract.***

Joie Chang

Deputy Consulting Director

Reg no.: R2090601 | EA No: 13C6684

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial intelligence. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of data analysis frameworks.
• Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets.
• Plan, supervise and perform (if necessary) the generation of impact measures using machine learning, in collaboration with the Institute’s Directors and other Research Fellows.
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Requirements

• Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is preferred.
• A thorough knowledge of the research field of machine learning and artificial intelligence is highly preferred.
• Programming skills, including knowledge of machine learning and artificial intelligence processes and tools, are highly desired, along with experience in conducting and supporting research and data analysis of research projects.
• Database management experience is desired.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Strong verbal and interpersonal communication skills, along with written communication skills

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial intelligence. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of data analysis frameworks.
• Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets.
• Plan, supervise and perform (if necessary) the generation of impact measures using machine learning, in collaboration with the Institute’s Directors and other Research Fellows.
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Requirements

• Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is preferred.
• A thorough knowledge of the research field of machine learning and artificial intelligence is highly preferred.
• Programming skills, including knowledge of machine learning and artificial intelligence processes and tools, are highly desired, along with experience in conducting and supporting research and data analysis of research projects.
• Database management experience is desired.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Strong verbal and interpersonal communication skills, along with written communication skills

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi-disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

We have an opening for a Visiting Research Fellow position for a candidate with research experiences in Biomedical Engineering or related fields. Relevant research areas include deep learning, microfluidic device development and application, or related areas in biosensing and detection. The successful candidate will perform research on the application of deep learning methods to enhance single-molecule fluorescence detection and super-resolution microscopy analysis workflow.

Qualifications

Candidates must have:

• a Ph.D. degree in biomedical engineering or related biomedical sciences fields
• research experiences in relevant areas, and strong publication record
• Demonstrated proficiency in programming, Artificial intelligence, as well as cell biology, biosensing, and bioimaging are desirable.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Translational Core of The N.1 Institute for Health, NUS conducts translational research to bring diagnostic and therapeutic technologies from lab to clinic and commercialization. Our research is multi-disciplinary and will involve interaction with diverse stakeholders including scientists, engineers, clinicians, regulatory and ethics boards, etc. We are interested in recruiting a talented, and highly motivated Research Assistant to perform a variety of functions related to research under the supervision of the Principal Investigator or his/her designate

Your main duties would include but are not limited to the following:

1. Carry out clinical study involving medtech assessment in healthy volunteers and cancer patients;
2. Handle clinical trial administration duties, if necessary;
3. Handle general lab administrative/documentation duties;
4. Prepare materials for ethic board review;
5. Supervise undergraduate students working on the research project.

Qualifications

The successful candidate will have the following credentials:

• Bachelors of Engineering (preferably in Biomedical Engineering)
• Proficient written & spoken English;
• An independent and motivated individual who can work with others in an interdisciplinary team;
• Experience in clinical trial administration is preferred but not necessary; Outstanding communication in English and interpersonal skills;
• Routine laboratory management procedures;
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Research Fellow (RF) will work closely with the Programme Chair and Core team members to engage in thorough research, generate impactful papers for publication in top-tier academic journals; and successfully obtain competitive funding for the research programme.

Purpose of the post

The Research Fellow (RF) will be responsible to conduct research on cell culture, mouse experiments and various functional assays, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the experiments on time. The RF’s principal role will be to work in general practices such as molecular cell experiments, in vivo experiments, data collection, data analysis, manuscript writing and presentations.

The National University of Singapore invites applications for a Research Fellow for “Engineered extracellular vesicles for anti-cancer therapy (EVANTICA)” in the Department of Pharmacology, Yong Loo Lin School of Medicine. Teaching and research activities in our department range from clinical pharmacology, systems pharmacology, to basic molecular and cellular pharmacology. More information on the department is available at http://medicine.nus.edu.sg/medphc/index.html.

Purpose of the post

The Research Fellow (RF) will be responsible to conduct research on cell culture, mouse experiments and various functional assays, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the experiments on time. The RF’s principal role will be to work in general practices such as molecular cell experiments, in vivo experiments, data collection, data analysis, manuscript writing and presentations.

Main Duties and Responsibilities

The RF will perform extracellular vesicles characterization, assays in cell culture. The RA will be able to:

1. Oversee the general management of the project;
2. Mentor 3-4 people including research assistants, graduate and undergraduate students
3. Design and perform the experiments;
4. Analyze the data and write publication report;
5. Present the data and discuss with other team members;
6. Assist with any other duties of a similar nature that are delegated by the PI.
7. Apply for additional grants.
8. To design and perform experiments on extracellular vesicles and cancer therapy.

Qualifications

The applicant should:

• Have a Ph.D. degree in Molecular Cell Biology or related disciplines; with fluent English
• At least 4 years of research experience in related fields including nanomedicine, cancer biology, extracellular vesicles, immunology
• A good publication record with recent first-author research papers in good journals
• be able to work independently and in a team, have an investigative nature, attention to detail; and
• have a strong experience in wet-lab experiments especially with human cell culture and in vivo experiments in mouse models

More Information

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations) and full contacts of 2 referees.

We regret that only shortlisted candidates will be notified.