Summary of Role:
The candidate in this role is responsible for planning the supply of spare/maintenance/consumable parts to maintain optimum inventory levels (consumables, spares, etc.) and ensure the efficient running of the center. His other roles are being ISO certified and working on End Users Certifications (EUC).

Essential Responsibilities include:

• Plan and schedule Spare parts requirements based on demand plan/material requirement requests from Fabs.
• Regularly review inventory levels for specific categorization of materials.
• Regular monitoring of critical materials to ensure uninterrupted manufacturing.
• Coordinate with warehouse/logistics to ensure accurate inventory levels and stock availability.
• Publish essential spare parts metrics/KPIs to management on a timely basis.
• Derive the material requirement plan based on the master production schedule to procure and source.
• Good Knowledge of Inventory management.
• Oversee the department R&M/Chemicals, etc. stores – upkeep with house-keepings, periodic cycle counts.
• Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day-in-day-out logistics operations.
• Coordinate with and on the movement of materials.
• Must work closely with operation teams on the center's logistic needs.
• Ensure to adhere to zero safety requirements.
• Work on continuous improvement program in logistics operations.
• Ability to work in a multi-task environment.
• Providing day-to-day operations in FAB production material planning, inventory management, and procurement.
• Planned and monitored production schedule in the high-mix, low-volume environment (HMLV).
• Collaborate across departments in the planning process to plan and purchase materials requirements and meet the production plan effectively.
• Follow through with the orders from the start till delivery and ensure that goods are delivered on time.
• Ability to work in a multi-task environment.

Other Responsibilities:

• Perform all activities safely and responsibly and support all Environmental, Health, Safety & Security (EHS) requirements and programs.
• Support ISO certification and across suppliers' EUC requirements
• Support internal audit program by conducting ISO9001/TS16949 audits, gap analysis, and corrective action implementation
• Research best practices and conduct benchmarking related to QMS processes, methods, and tools
• Based upon the overall Quality System performance, identify critical systems or processes where quality improvements are required, initiate projects or activities to analyze, evaluate and propose solutions to address the problem and improve performance

Required Qualifications:

• Minimum of 5 years of professional experience in procurement, consulting, program management, and supply chain & inventory
• Direct experience in pricing and contract negotiations, supplier relationship management, business strategy, contract manufacturing/outsourcing, and continuous process improvement
• Communicate complex information clearly and concisely.
• Develop and maintain collaborative business relationships with stakeholders and align ISO/EUC requirements for the program.
• Interact with all levels of the organization.
• Perform in a very fast-paced environment.

The Integrated Circuit Design and System Department at IME is on the lookout for a skilled and innovative engineer to develop groundbreaking cryogenic analog/mixed-signal and RF circuits for quantum computing applications.

In this role, you'll collaborate with a dynamic team of IC designers and physicists, working on state-of-the-art prototypes that will revolutionize qubit technologies through high-fidelity control and read-out. Join us and be part of the next wave of quantum breakthroughs!

Key Responsibilities:

• System level behavioural modelling and simulation using Matlab or Python
• Design and tape out advanced circuit blocks including low-noise amplifiers, variable gain amplifiers, ADCs, DACs, and mixers.
• Model and test circuits at cryogenic temperatures to ensure peak performance in quantum computing environments.
• Collaborate with a multidisciplinary team on system integration and technology demonstrations.
• Train interns and PhD students working on anlog/mixed signal circuit design and testing at cryogenic temperature
• Explore and develop innovative circuit and system solutions, contributing to cutting-edge inventions.

Qualifications:

• A Master's or PhD in Electrical Engineering or a related field.
• 5+ years of hands-on experience in transistor-level analog circuit design.
• Strong expertise in CMOS analog IC design methodologies, with a successful track record in tapeouts.
• Familiarity with the full analog IC design and verification flow.
• Experience with high-voltage processes is a plus.
• Proficiency in using IC testing equipment such as oscilloscopes, spectrum analyzers, etc.
• Ability to produce high-quality scientific publications and patents.
• A motivated team player who thrives on learning and innovation.

The Integrated Circuit Design and System Department at IME is on the lookout for a skilled and innovative engineer to develop groundbreaking cryogenic analog/mixed-signal and RF circuits for quantum computing applications.

In this role, you'll collaborate with a dynamic team of IC designers and physicists, working on state-of-the-art prototypes that will revolutionize qubit technologies through high-fidelity control and read-out. Join us and be part of the next wave of quantum breakthroughs!

Key Responsibilities:

• System level behavioural modelling and simulation using Matlab or Python
• Design and tape out advanced circuit blocks including low-noise amplifiers, variable gain amplifiers, ADCs, DACs, and mixers.
• Model and test circuits at cryogenic temperatures to ensure peak performance in quantum computing environments.
• Collaborate with a multidisciplinary team on system integration and technology demonstrations.
• Train interns and PhD students working on anlog/mixed signal circuit design and testing at cryogenic temperature
• Explore and develop innovative circuit and system solutions, contributing to cutting-edge inventions.

Qualifications:

• A Master's or PhD in Electrical Engineering or a related field.
• 5+ years of hands-on experience in transistor-level analog circuit design.
• Strong expertise in CMOS analog IC design methodologies, with a successful track record in tapeouts.
• Familiarity with the full analog IC design and verification flow.
• Experience with high-voltage processes is a plus.
• Proficiency in using IC testing equipment such as oscilloscopes, spectrum analyzers, etc.
• Ability to produce high-quality scientific publications and patents.
• A motivated team player who thrives on learning and innovation.

Responsibility：

• Define project scope, goals, and deliverables in collaboration with stakeholders.
• Develop detailed project plans, including resource allocation, timeline, budget estimates, and risk management strategies.
• Set realistic deadlines and milestones and adjust project scope or resources as needed to meet objectives.
• Lead and coordinate cross-functional teams in the execution of engineering projects.
• Monitor and manage project activities to ensure that timelines and quality standards are met.
• Ensure proper communication between all team members and stakeholders, resolving conflicts and managing expectations.
• Assign tasks to engineering and technical teams and ensure resources are optimized for efficiency.
• Identify resource constraints and work to address any issues that may impact
• project delivery.
• Identify project risks and develop mitigation strategies.
• Monitor project risks throughout the project lifecycle and update risk management plans as necessary
• Develop and manage project budgets, ensuring that costs are controlled and projects are completed within financial parameters.
• Approve project expenditures and recommend adjustments as needed.
• Oversee project quality standards and ensure that engineering best practices and regulatory requirements are met.
• Conduct regular project reviews and ensure that design and technical documentation is accurate.
• Act as the main point of contact for project stakeholders, ensuring timely communication of project status, issues, and progress.
• Prepare and deliver regular reports, presentations, and updates to senior management and other key stakeholders.

Qualifications:

• Degree in Engineering, Computer Science, Business Administration, or a related field.
• At least 5 years Project Management working experience, especially understanding the
• Chinese Companies cultures and working environments is a plus.
• Proven experience in project management, with a focus on semiconductor engineering fields, automation or technology projects.
• Strong understanding of semiconductor engineering / automation technologies, methodologies, and best practices.
• Proficiency in project management software and tools.
• Excellent organizational, leadership, and communication skills.
• Ability to manage multiple projects simultaneously and work under pressure.
• Relevant certifications (e.g., PMP, Six Sigma, or similar) are a plus.
• Ability to work independently and as part of a team.
• Willingness to travel as needed to project sites or client meetings.

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

Most of the world now live in cities. Liveable, sustainable and resilient cities are needed to face the looming challenges of climate change, the next pandemics, ageing populations and technological, social and economic disruptions such as what we are currently experiencing.

NUS Cities is a multi-disciplinary, open and inclusive collaborating platform comprising the following three pillars: education, research and advisory.

Education: Educate the next generation of students as well as current practitioners to take an urban systems approach to plan, govern, build and manage cities, using a strong case-based approach taught by both practitioners and academics.

Research: Taking a systems approach tacking some of our biggest urban challenges, and in the process, gradually developing a Science of Cities.

Advisory: Provide strategic advisory services to organisations and cities. NUS Cities will also partner other universities and research institutions locally and internationally, as well as with industry partners worldwide.

NUS Cities hence draws on the varied talent and expertise of the University in its colleges, faculties and departments and centres of excellence to drive research to better plan, manage, and govern, high-density, high-growth, sustainable, resilient, and liveable cities through an urban systems approach and systems thinking.

The full-time appointment for this Research Fellow position is for a contract period of 1 to 2 years with the possibility of renewal.

Responsibilities 

• Establish and manage large databases.
• Interpret and analyse data
• Generate reports and presentation of data to relevant stakeholders
• Generate conference presentations and papers for submission to peer reviewed journals
• Collaborate across teams, contributing to multiple research projects at once
• Work closely with research PIs to develop new research ideas and ensure the successful and timely completion of the project(s)

Qualifications

• Doctorate degree
• Candidates interested in Cities and keen to delve into any of the below research modules are strongly encouraged to apply:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• At least three recent and relevant good journal papers on any of the below modules:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• Proficient in data analysis and visualisation tools in quantitative research or any relevant software and tools
• Keen interest in Cities
• Strong background with extensive experience leading research projects would be an advantage
• Excellent written and verbal communication skills
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organisational culture
• Willingness to contribute to a learning environment

The role is based in Singapore.

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 team of Prof Loh Kian Ping invites application for a postdoctoral fellow/research fellow working in condensed matter physics and two dimensional (2-D) materials devices. A major research thrust is the synthesis and investigation of artificially engineered heterostructures of quantum materials synthesized by molecular beam epitaxy (MBE) with strong electron correlations which allow new emergent states to be created at the interface.

Requirements

The candidate should have a PhD in Physics and have experience in operating

1. Angle resolved photoemission spectrometer, and the collection and interpretation of results arising
2. Experience in the molecular beam epitaxy growth of 2D topological materials
3. UHV-scanning tunnelling microscopy/Q plus AFM

The candidate should have a strong track record in surface physics or condensed matter physics.

An attractive renumeration package will be offered for suitable candidate (research fellow) with a strong record in 2-D condensed matter physics and who has good publication record.

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 are seeking a highly motivated Research Associate to join the Kanchanawong Lab's project studying the interplay between cell adhesion proteins and cell division. Using advanced microscopy and molecular manipulation techniques, this role offers an opportunity to contribute to cutting-edge research within an interdisciplinary team.

Key Responsibilities

• Perform and design experiments related to cell adhesion proteins and cell division
• Utilize advanced microscopy techniques to analyze biological processes
• Assist in laboratory management, including inventory, ordering, and general lab upkeep
• Collaborate closely with team members across disciplines to achieve research goals
• Contribute to manuscript preparation and publications

Required Qualifications

• A Master’s degree in Biology, Molecular Biology, or a related field
• Proven research experience demonstrated by publications in relevant areas
• Proficiency in molecular and cell biology techniques such as molecular cloning, cell culture, and bioinformatic analysis
• Prior experience with laboratory management is highly desirable

Preferred Skills

• Excellent organizational abilities and attention to detail
• Strong communication and teamwork skills
• Demonstrated ability to work independently and as part of a collaborative research team

Salary and benefits are commensurable to the educational qualifications and working experience of the candidate.

Interested applicants should include their curriculum vitae and references in their online application. 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 National University of Singapore invites applications for Research Fellow in the Department of Medicine, Yong Loo Lin School of Medicine. The Department of Medicine will be working with the National University Health System Transformation Office to develop innovative care models and related research. The objective is to improve health for patients and residents both within the health system and in the community. By testing and evaluating successful interventions, high impact research will be generated that will inform the longer term of scaling and sustaining solutions for the healthcare system and beyond. Appointments will be made on a one-year basis with the possibility of extension.

Purpose of the post

The RF will work closely with the Principal Investigator to develop research based on the Transformation Office’s initiatives. In addition, the RF will work with the PI to train the team to undertake research studies.

Main Duties and Responsibilities

The RF will be expected to:

• lead the quantitative/qualitative research related to intervention evaluation
• contribute towards research protocol development
• manage the ethics application process
• mentor and deliver training sessions to junior staff (research associates, research assistants)
• supervise the collection of survey data
• perform statistical analysis on collected data, extracting meaningful insights and drawing relevant conclusions
• develop scientific papers and the dissemination of the study findings
• collaborate with researchers at the Department of Medicine

Qualifications

The applicant should:

1. hold a PhD in public health or health services research or appropriate social science discipline
2. be able to work independently and in a team, have an investigative nature, attention to detail
3. have knowledge of computer applications
4. be fluent in written and spoken English
5. good scientific writing skills as demonstrated by track records of publications in international peer-reviewed journals
6. be organized and able to prioritize workload

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Lim Yee Wei at [email protected] or Ms Winnie Chong at [email protected].

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 three (3) referees to this job portal.

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 team of Prof Loh Kian Ping invites application for a postdoctoral fellow/research fellow working in condensed matter physics and two dimensional (2-D) materials devices. A major research thrust is the synthesis and investigation of artificially engineered heterostructures of quantum materials synthesized by molecular beam epitaxy (MBE) with strong electron correlations which allow new emergent states to be created at the interface.

Requirements

The candidate should have a PhD in Physics and have experience in operating

1. Angle resolved photoemission spectrometer, and the collection and interpretation of results arising
2. Experience in the molecular beam epitaxy growth of 2D topological materials
3. UHV-scanning tunnelling microscopy/Q plus AFM

The candidate should have a strong track record in surface physics or condensed matter physics.

An attractive renumeration package will be offered for suitable candidate (research fellow) with a strong record in 2-D condensed matter physics and who has good publication record.

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

Tropical Marine Science Institute (TMSI) of National University of Singapore (NUS) has a vacancy in the area of storm surge and tide modelling in the warming climate.

The upcoming Project funded by a Singapore Agency for 4 years includes regional (South-East Asia, SEA) dynamical downscaling of storm surges using CMIP6 GCMs atmospheric projections for 21st century. The particular emphasis will be on storm surges trend and extremes in Singapore coastal waters. The successful candidate will be responsible for:

• setting and running DELFT3D Flexible Mesh (DELFT3D-FM) model using past and projected atmospheric forces downscaled by an atmospheric team;
• use model experiments and data analysis to compute and understand mechanisms of regional (SEA) and Singapore Strait storm surge variability and trend driven by larger scale atmosphere/ocean processes.

Candidate will be having Ph.D. in ocean/coastal sciences/engineering from a reputable University.

Depending on qualifications and experience, successful Candidate could be employed at Research Fellow or Senior Research Fellow level.

Qualifications

Successful candidate will be having the following knowledge, skills and experience:

• Understanding of mechanisms of storm surge generation and propagation at various scales, from global to local.
• Understanding of mechanisms of ocean/coastal responses to the climate change.
• Capability to set and run regional numerical experiments using DELFT3D-FM model.
• Capability to apply modern data analysis methods developed for sea level research;
• Experience with XBeach and OpenDA methods and software is an advantage;
• Ability to work in multidisciplinary team of researchers, including ocean/coastal and atmosphere scientists;
• Track records in publications.

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 Assistant position is available immediately in the Li-Ren Kong and Sanjay De Mel research team. The position is funded by a thematic grant under NUS Centre for Cancer Research (N2CR) to investigate the key drivers in multiple myeloma, with the eventual goal to develop a ex vivo screening model for drug development.

Duties & Responsibilities

Research:
- Handling and processing clinical samples for genomics and proteomics analyses, including the establishment of long-term culture models for in-depth molecular characterization and functional studies.
- Organize and document experimental results systematically.
- Analyse data and summarise findings for the research team.

Administrative duties:
- Assist with lab housekeeping and administrative duties as needed.
- To maintain the N2CR Avatar portal, including registering & updating new entries and keeping track of the usage of the portal.
- To assist with administrative or ad hoc duties under the N2CR organoid interest group.

Qualifications

- Bachelor’s or Master’s degree in molecular biology or cancer biology.
- Knowledge in cell culture and basic molecular biology techniques.
- Effective communication and presentation skills, with ability to work independently.
- Prior experience on handling human patient material or organoid culture is preferred.
- Experience in laboratory management is preferred but not essential.
- Ability to communicate fluently in written and spoken English

Interested applicants should include the following documents in the job application
1) Curriculum Vitae (CV)
2) Summary of past research experience
3) Description of long-term plans
4) 3 referees including their name, contact information (email) and relationship to applicant

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 in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Engineer will work closely with the Principal Investigator (PI) on one or more research projects. The candidate will join the research team in the areas of Deep Learning and Vision Applications.

The successful candidate is required to:

• Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
• Contribute to Image Processing and Machine Learning algorithms.
• Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
• Contribute to the implementation of machine learning framework and development of image processing systems.
• To advance the knowledge, to publish in leading journals and conferences.
• To prepare and meet the project deliveries and milestones.

Qualifications

• Recognised degree in Bachelor / Master in Electrical Engineering, Computer Science or Computer Engineering
• Strong programming skills in one of the programming languages: C / C++, Matlab, Python
• Have prior project related experience
• Good team player and be able to work independently.
• Strong organizational, writing and interpersonal communications.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• Open to fixed-term contract.

A qualified candidate will be self-motivated with strong technical and analytical skills as well as possess practical and hands-on approach to engineering control in the areas of metrology management

Responsibilities:

• Recipe creation and optimisation for new R&D applications requirement.
• Preventive and corrective maintenance planning cum execution and vendor management.
• To take charge of new tools technical assessment and tender creation (equipment cum process application startup) and service contract tender set-up
• Drive continuous improvement projects (CIP) to achieve better measurement repeatability (MSA, GR&R, SPC etc).
• To set-up appropriate process and product control plan and out of control action plans (OCAP)
• Provide technical training to related staff on best-known practices in terms of application metrology recipe creation.

Requirement:

• Diploma/Bachelor degree in Electrical and Electronics, Material, Physics or Chemical engineering
• Minimum 3~5 years of hands-on semiconductor experience (preferably in metrology application and equipment maintenance)
• Possess computer soft ware skills (i.e. JMP, Minitab, SQL, Visual basic, etc)
• Knowledge in problem solving and quality control skills (i.e. LEAN 6sigma, RCA, DOE, etc)

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 Institute for Functional Intelligent Materials (I-FIM) is seeking a researcher to investigate the application of scientific machine learning algorithms to develop an equation of state for dynamical systems out of equilibrium, with a focus on polymers under elongational flow. The role involves analysing large datasets from simulations and experiments to uncover patterns that traditional models may miss, aiming to enhance predictive capabilities for polymer behaviour. The work will be undertaken in collaboration with experts in algorithm development and experimental data collection and analysis. Additionally, the researcher will study the extension of developed framework to model multi-pendulum systems, exploring complex dynamics relevant to robotics and climate science. Findings will be disseminated through peer-reviewed journals, and the developed code will be made publicly available on GitHub.

Job Requirements

• Development of in the loop optimisation processes
• Ability to develop custom or apply state-of-the-art computer vision algorithms (CNN, AE, etc)
• Data cleaning, augmentation and dimension reduction
• Ability to work with common Python ML libraries (scikit-learn, tensorflow 1 & 2, pytorch), develop custom neural networks and implement classification and regression algorithms
• Interdisciplinary collaboration with researchers and scientists from different academic backgrounds
• Experience working in organic laboratories
• Knowledge of working with microfluidics platforms

Job Description

The Signature Research Programme in Health Services & Systems Research (“HSSR”) in Duke-NUS Medical School is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world. The major research focus of HSSR is the organisation and delivery of health and social services in the context of an ageing population. The research methods include decision science and simulation modelling, survey research, qualitative research, health economics, and implementation science and evaluation. We are also developing a range of education activities for health care professionals including short courses, graduate certificates, Masters course and PhD programmes.

A Senior Research Fellow position is currently available, and the successful candidate will be expected to perform a variety of research activities which include but not limited to the following: -

• Build up an Implementation Science core in HSSR and Health Services Research Institute (“HSRI”)
• Bring in grants in collaboration with our collaborators.
• Support research activities relevant to the scope of HSSR and HSRI.
• Be responsible for project management.
• Perform other related duties incidental to the work described herein or as assigned by the supervisor.

Job Requirements

• PhD in Public Health or Health Services Research.
• Minimum 3 years of postdoctoral work experience.
• Prior experience in healthcare would be advantageous.
• Possess strong writing and critical thinking skills.
• Have excellent communication (verbal & written) and interpersonal skills.
• Action-oriented, highly motivated, and target-focused.
• Able to work both independently and as a team player in a diverse workforce.

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 National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in the area of machine learning.

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Establishing test result database: Conducting both DTs and NDTs on the same samples to create a comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data.
  2. Developing statistical model: Utilizing DT results to develop statistical models for estimating mechanical characteristics based on normal distribution and analyzing statistical data to support model development.
  3. Developing and verifying the AI model: Developing various regression models and evaluate their feasibility and suitability, conducting model fitting and verification phases using training and test datasets and ensuring the selected model meets the accuracy criteria (±10% at 95% confidence) for individual mechanical characteristics and overall classification results (grade determination).
  4. Validation of the method: Implementing the proposed method and AI model in test bedding cases, measuring the impact of the method in terms of time and cost savings and developing implementation guidelines based on validation results.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Publish research findings in peer-reviewed journals and present at conferences.
• Assist in the preparation of project reports, proposals, and documentation.

Requirements

• Have relevant competence in the areas of structural engineering, material science, statistics and programming basics.
• Have a degree in Civil Engineering, Mechanical Engineering or Material Science. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of AI / ML and common ML programming languages will be advantageous.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work
• Able to carry out data preprocessing, develop statistical and regression models.
• Possess knowledge of the mechanical properties of structural steel and factors affecting its performance
• Able to prioritize tasks, meet deadlines, and manage multiple responsibilities.

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

Tropical Marine Science Institute (TMSI) of National University of Singapore (NUS) has an immediate vacancy in the area of regional sea level variability in the warming climate.

The ongoing Project “Understanding the low-frequency variability of coastal sea level in Southeast Asia using a regional ocean model and observations” has been funded by National Research Foundation until 31 July 2025. The successful candidate will be working with a multidisciplinary team of atmosphere and ocean scientists, and particularly be responsible for:

-running NEMO ocean model using past and projected forces provided by the atmospheric team;

-use data analysis and model simulations experiments to understand the mechanism of regional sea level variability driven by large scale atmosphere/oceanic processes.

Depending on qualifications and experience, successful Candidate could be employed at Research Fellow or Senior Research Fellow level.

Qualifications

Successful candidate will be having the following demonstrated knowledge, skills and experience:

• Understanding of regional sea level variability and large-scale atmosphere/ocean coupling;
• Understanding of mechanisms of ocean response to the climate change;
• Capability to set and run regional sensitivity experiments using NEMO ocean model;
• Capability to use data analysis methods for ocean dynamics research;
• Ability to work in multidisciplinary team of researchers, including ocean and atmosphere scientists;
• PhD in ocean sciences from a recognised University
• Track records in publications.

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 Research Assistants to join our projects in the Department of Diagnostic Radiology, Yong Loo Lin School of Medicine. Our projects are primarily focused on exploring the role of neuroimaging in the clinic, facilitated by quantitative analysis including machine learning, with a focus on neurodegenerative diseases (e.g. Alzheimer's and Parkinson's disease), with a small focus on brain tumor imaging. The title of the current major project is <Development of a data-driven imaging biomarker for Alzheimer's disease>. The main objective of our ongoing research is to develop and validate data-driven imaging biomarkers to predict the prognosis of Alzheimer's disease dementia in elderly individuals by harmonizing established Alzheimer's disease research datasets and retrospective local institutional datasets.

The primary responsibilities of the Research Assistant will revolve around data management and administrative tasks, as described below:

Key Responsibilities

Database management and basic analysis:

- Download and integrate imaging and other non-imaging data into our research database.

- Perform basic neuroimaging processing and analysis using our existing R / Python pipeline. The role could extend to pipeline customization if the RA shows an interest and aptitude for image analysis work.

- The role could extend to basic statistical analysis and machine learning tasks using pre-built code, under the guidance of the PI and AI expert research staff, if the RA shows interest and aptitude for the above tasks.

Administrative tasks:

- Assist with ethical application processes for access to public datasets such as UK Biobank, ADNI, etc. and ensure compliance with institutional/university IRB procedures.

- Provide general administrative and secretarial support to the project, such as coordinating meetings, procurement, etc.

Assist in the preparation of scientific documents:

- Conduct literature searches, assist in the preparation of manuscripts, grant proposals/reports, and other scientific documents under the direct supervision of the PI.

Qualifications

Interested candidates should: (a) Have an undergraduate degree with good grades or a Master's degree in life sciences, engineering, or related fields; preferably, but not required, with some experience in dry lab or imaging research (b) Have basic programming skills in R and Python (ability to use code written by others under guidance) (c) Have fluent oral & written communication skill (d) Demonstrate the ability to work independently and as part of a team, and show investigative tendencies and attention to detail.

Compensation will be commensurate with the candidate's qualifications and experience. Only shortlisted candidates will be contacted.

About Us:

At BioDefense, we aim to enhance the quality and safety of perishable foods with our cutting edge microbial safety solutions. We are looking for a passionate and motivated research intern to join our team. If you're eager to kickstart your career in a dynamic laboratory environment, we want to hear from you!

Job Summary:

As a research Intern, you will play a crucial role in the manufacturing and quality control processes of our product . You will assist in the preparation, testing, packaging and ensuring that our products meet the highest standards of quality and safety. This position is perfect for someone looking to gain hands-on experience in a laboratory setting while contributing to cutting-edge food preservation solutions.

Key Responsibilities:

- Assist in the preparation of our product according to established protocols.

- Conduct routine tests and analyses on raw materials and finished products to ensure quality standards are met.

- Maintain accurate records of production activities, including batch logs, test results, and inventory levels.

- Support the cleaning and maintenance of laboratory equipment and workspaces to ensure a safe and organized environment.

- Collaborate with senior lab staff to troubleshoot and resolve production issues as they arise.

- Follow all safety guidelines and standard operating procedures (SOPs) in the laboratory.

- Participate in team meetings and contribute to continuous improvement initiatives in the production process.

Qualifications:

- Pursuing a diploma/degree in Food Science, Biology, Chemistry, or a related field (or relevant coursework).

- Previous laboratory experience (internships, coursework, or volunteer work) is a plus but not required.

- Must be a Singapore Citizen/ PR.

- Strong attention to detail and ability to follow protocols precisely.

- Good communication and teamwork skills.

- Willingness to learn and adapt to new techniques and procedures.

- Basic computer skills for data entry and record-keeping.

How to Apply:

If you are excited about starting your career in laboratory production and making a difference in food safety, please submit your resume and interest in the position to [email protected].

Job Description Summary

The Heavy Duty Services Complex ITO Engineer (Applications Engineer) will own Inquiry To Order (ITO) activities for the Gas Power Services Complex Gas team, such as proposal generation and TAG development globally as well as drive consistency and common global processes for project implementation in the Complex projects space for the large and diverse installed fleet of Gas Power units.

Job Description

The Complex ITO Engineer has the following roles and responsibilities:

• Leads with technical expertise and develops technical solutions (configuration, performance estimation, economics, etc.) as part of the Inquiry To Order (ITO) process while working directly with the commercial and sales teams. The ITO process for the Engineering team refers to technical analysis of client need, which includes definition and optimization of the products with respect to scope, schedule, industrial scheme, cost, and internal policies and procedures.
• Possesses a strong understanding of relevant markets and customer economic value that aid winning bid strategies.
• Collaborates with design COE teams to develop an understanding of plant, system and equipment performance and efficiency post-upgrade.
• Clearly documents technical specifications & costing elements for a CM&U upgrade as well as a level of customization of products for specific customer needs.
• Mentors other AEs and helps the team grow in both technical depth and business acumen.
• Owns relevant Technical Application Guidelines (TAG) to support accurate and timely proposal generation.
• Demonstrates high degree of understanding of key business drivers and how they are used to support proposal generation. Good understanding of how to work with the larger Applications teams and how to integrate with other teams in a matrixed organization to contribute to the needs of the business.
• Demonstrates autonomy to make decisions within a defined framework and lead other Individual Contributors.
• Resolves issues in situations that require good technical knowledge and judgment within established procedures.
• Works with supporting team, e.g. OTR, Design COEs, Comm. Ops, and Sales, for issues outside of defined instructions/parameters to build and influence winning solutions for our customers.
• This position requires good interpersonal skills and the ability to succeed in a highly matrixed environment.
• The AE is sometimes required to explain technical information to internal and external customers.
• For external customer facing activities, the AE develops strong customer relationships and serves as the interface between customer and GE.

Required Qualifications

• Bachelor's degree in engineering
• Significant experience in engineering comparable to a Master's degree in the related Mechanical field.
• Advanced knowledge of Inquiry To Order (ITO) processes

Desired Characteristics

• Ability to document, plan, market, and execute Complex projects.
• Exhibits and demonstrates the GE Vernova Way behaviors
• Experience and demonstrated success working in a global cross-functional environment.
• Expert knowledge and experience servicing Gas Turbine Products

Job Description:

We are looking for an Investment Research Intern to join our investment team. This role is perfect for fresh graduates or undergraduate students who are eager to dive into investment research (e.g. style factors), financial data analysis, and uncover its unique characteristics compared to other industries. The ideal candidate will have a passion for financial investment research (in stocks and futures), data and portfolio performance analysis, an analytical mindset, and a keen interest in the financial sector. We are seeking candidates with strong analytical skills, problem-solving abilities, and programming experience, particularly in maintaining and refining existing Python code.

Responsibilities:

• Assist in conducting investment research (e.g. factor research) using Python and/or spreadsheets.
• Utilize statistical methods and/or visualisation techniques to present findings clearly and compellingly.
• Support the investment team in preparation of presentation materials for internal discussions.
• Maintain and update existing data cleansing, investment portfolio construction and performance analysis codes written in Python.

Requirements:

• Currently pursuing or recently completed a degree in (Quantitative) Finance, Economics, Statistics, Computer Science, or a related field.
• Strong analytical abilities, data manipulation skills, and a passion for working with data.
• Proficiency in Python, preferably with a focus on writing structured, class-based code.
• Self-motivated, eager to learn, and enthusiastic about new technologies.
• Experience in SQL is a plus.

Additional Notes:

• This internship offers a great opportunity to gain hands-on experience in financial data analysis and contribute to impactful projects.
• You will have the chance to work with seasoned investment professionals, gaining valuable insights and experience in the financial industry.
• The internship period will be for 3 months with a possible 3-month extension based on performance outcomes.

The Agency for Science, Technology and Research (A*STAR) is Singapore's lead public sector agency that fosters world-class scientific research and talent to drive economic growth to transform Singapore into a vibrant knowledge-based and innovation driven economy. For more information about A*STAR, please visit: www.a-star.edu.sg

A*STAR is spearheading a series of Strategic Research & Translational Thrusts (SRTT) that harnesses its multidisciplinary expertise to undertake a focused research mission. Operating as a cross-A*STAR initiative, SRTTs are geared at delivering impact and outcomes in specific thematic areas. Led by the A*STAR Research Office (RO), SRTTs will be actively managed where the SRTT Programme Directors and research team members will be provided dedicated central support. Under the newly established Central Initiative Administration (CIA), A*STAR is recruiting a Manager/Senior Manager/Assistant Director for SRTT Programme Research Administration and Operations.

Responsibilities & Duties

• Support the overall administration, office management and operations of SRTTs, including research admin support (e.g., support Project Investigators (PI) in grant administration and reporting, ethics review, research software support, scientific advisory panel meeting logistics, etc.)
• Provide corporate and business service support to SRTTs, working with Corporate Group (CG) and Space, Infrastructure and Admin (SpIA) Partners and Research Institute (RI) admin teams.
• Craft, review, and implement business process workflows to achieve efficiency and optimization.
• Work with the Central Initiative Directorate (CID) team to manage and track the operating budget for supporting the SRTTs; this includes costs of SRTT staff training, development and engagement, engaging experts / advisors, CG support, and other costs that may not be directly attributed to specific SRTTs.
• Work closely with RO and other relevant stakeholders to formulate, communicate, and implement administrative policies and procedures, adhering to relevant A*STAR policies and guidelines.
• Onboard new staff and students, including visiting scientists/professors.
• Plan and prioritize to cater to the different needs of SRTTs.

Requirements:

• Preferably possess a BSc or BA in a scientific discipline.
• Minimum 5 or more years of experience in research administration and operations preferred.
• Strong analytical and system thinking abilities, and good project management skills.
• Good communication and presentation skills (both written and oral).
• Ability to build relationship and work across different functions and departments.
• Proficiency in data analytics is a bonus.

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

We seek a full-stack engineer passionate about delivering the best user experience for cutting-edge technology. You will build the back end, which empowers the next-generation AI assistant, and the front end, which creates seamless new workflows.

Responsibilities

• Work with the core research team to idealize design concepts
• Participate in all aspects of agile software development, including design, implementation, and deployment
• Architect and design end-to-end systems optimized for speed and scale
• Build the front-end of applications through appealing visual design
• Test software to ensure responsiveness and efficiency
• Build features and applications with a mobile responsive design
• Write technical documentation

Qualifications

• Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related field.
• Interest in learning new tools, languages, workflows, and philosophies
• At least one year of experience in building software applications
• Experience in building web applications, and designing and integrating RESTful APIs are added advantages.
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache), and UI/UX design
• Excellent debugging and optimization skills
• Experience in unit/integration testing
• Excellent communication and teamwork skills
• Employment type: 12 months' contract

Only shortlisted candidates will be notified.

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Senior Research Support Officer in Research Support Unit

Facility Management:

• Establish short term (1 – 3 years) and long term (5 years and above) facility management plan to be in line with company’s business continuity plan.
• Establish the facility monitoring system in cooperation with external vendors.
• Conduct facility management, such as repair works and maintenance works, in cooperation with external vendors.
• Arrange the relocation of lab and equipment in line with research activities.
• Schedules and oversees the use of space, resources, and lab/equipment in line with research activities.

Requirements:

• General degree with minimum 8 years of facility management experience in the life science industry.
• Business proficiency in Japanese Language is a must to liaise with Japanese speaking colleagues and clients.
• Proficient in Microsoft Office Applications such as Word, Powerpoint, Excel, Outlook, Forms etc.

Interested applicants are invited to apply with their detailed resume, qualifications, availability, current and expected salary.

For more information regarding our Company, you may refer to our website at:

http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified