Malaysians are welcome to apply

Job Responsibilities:

- Support superior in managing day-to-day operating expenditures against operating budgets to ensure efficient usage of resources.

- Support the design and development of quality procedures, processes, and standards to ensure alignment to quality policy and local regulatory guidelines.

- Provide technical assistance to production on quality and process improvements and perform troubleshooting when necessary.

- Responsible to write and/or update all relevant documentation for project activities.

- Support quality manager during internal and external audit.

- Conduct QC test for every batch of raw material, in-process and finished product.

- Execute the technical transfer and validation protocol for QC assays.

- Assist in the implementation of new assay methodologies and the associated instrumentation.

- Proper issuance and filing of documents in accordance with GxP documents.

- Perform equipment monitoring and basic housekeeping.

- Perform routine clean room sanitization task to maintain the cleanroom ISO standards.

- Identify and facilitate continuous improvements.

- Maintains inventory and submit purchase requests as needed.

- Any other tasks / projects assigned by supervisor.

Job Requirements:

- Degree in biomedical science/biotechnology or related discipline.

- 1 – 3 years working experience in QA/QC role or relevant work experience in similar manufacturing industry or cleanroom environment.

- Proven experience in cGMP, FDA regulations and ICH Guidelines regarding the manufacture of biological products.

- Good knowledge in quality assurance tools, concepts, and methodologies.

- Experience in writing and/or review of GxP documents to ensure good documentation, data integrity, GxP and regulatory requirements are met.

- Experience in cell/gene therapy is preferred.

- Expertise in cell culture, flow cytometry and molecular biology.

- Self-initiated, able to work independently and in a team.

- Ability to communicate at all levels.

Career Level

- Junior – Mid level Executive

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 (NUS) is offering a position for a postdoctoral fellow who will work closely with Dr. Vincent Tan in online machine learning (reinforcement learning, multi-armed bandits).

Each position is expected to last from one to two years. The start date is negotiable. The candidate is expected to have a PhD in electrical engineering, computer science, or applied mathematics and a strong publication record in machine learning.

The candidate will work closely with Dr. Vincent Tan and will use the postdoctoral stint to develop a strong research profile that will enable him/her to find a good faculty position after the postdoctoral stint.

Salary will be extremely competitive and will be commensurate with the candidate abilities, potential, and track record.

Applicants should submit a detailed CV to Vincent Tan at [email protected]. If shortlisted, applicants should also arrange for at least two to three letters of reference to be sent to the same address.

Qualifications

• PhD in Electrical Engineering, Computer Science, or Applied Mathematics
• Open to Fixed Term Contract

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 operation and planning method for onshore microgrid and charging infrastructure within the maritime electrification sector.

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. Develop planning optimization method for onshore microgrid and charging infrastructure
  2. Analyze and develop mathematical models for shore loads and charging demand profiles for electric fleets. This part of the work requires close collaboration with fleet owners based on their needs and operational requirements.
  3. Analyze charging impact on distribution networks and provide design optimization for charging operators and shore microgrid owners
  4. Assist supervising student helpers or final year project students participating in the project
• 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.

Job Requirements

• Have relevant competence in the areas of microgrid/multi-energy Operation and planning, machine learning and data analysis in the field of power system applications.
• Have a degree in Electrical//Electronic Engineering or relevant fields. Possessing a Master’s or PhD degree will be advantageous.
• Proven track record of high quality journal papers published in the relevant field will be highly advantageous.
• Knowledge of optimisation algorithm development in the field of power systems will be advantageous.
• Familiarity with optimisation using Gurobi, Cplex and etc. is a must.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.The project is an industry facing one where frequent interactions and information exchanges are required with industry partners.
• 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

Job Duties and Responsibilities:

· Lead operation team in frontline to provide each customer with a wonderful dining experience.

· Be Din Tai Fung brand ambassador, upholding our brand philosophy and company values by demonstrating excellent customer service and maintaining good customer relationships

· Engage with customers through checking on their dining experience, making recommendations and gathering feedback to provide service enhancement to customer

· Handle and resolving guest enquires and feedback (In Outlet, Phone, Feedback Form and Email) promptly

· Initiate and handle the post feedback investigation process and propose preventive actions

· Preparation of Customer Care Memos

· Other duties involve assisting the outlets in charge of operation matters

Requirements:

· Able to work in a fast paced and customer focused environment

· Able to work under pressure and keep to deadlines given

· Able to function efficiently in a team setting and also independently

· Able to resolve customers issues promptly and to customers’ satisfaction

· Good interpersonal, communication, writing and listening skills

· Meticulous

· Proactive to perform job duties and assignment

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 (SoC). SoC 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 at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research
• Good communications skill in both written and verbal English

Overview:

Black Sesame Technologies is a rapidly expanding artificial intelligence company backed by substantial VC funding, dedicated to pioneering algorithms and chips for artificial intelligence and image processing. As a Computer Vision / Deep Learning Engineer in this role, you will collaborate closely with leading researchers to forge cutting-edge perception algorithms aimed at tackling real-world challenges in autonomous driving and beyond. The primary focus of perception is to identify and comprehend the surrounding environment of autonomous vehicles, supporting L2 and L3 automated driving capabilities. This involves constructing a real-time virtual representation of the local environment by processing input data predominantly from cameras, alongside data from complementary sensors such as radars, IMU, and ultrasonic sensors.

Job Description:

• Develop deep learning-based perception algorithms encompassing object detection, lane detection, segmentation, depth estimation, and other related tasks.
• Innovate state-of-the-art network architectures and training methodologies, assessing their efficacy in addressing vision-related challenges.
• Execute deep network compression tailored for ASIC platforms.
• Stay abreast of the latest advancements in deep learning and computer vision literature, proactively proposing novel concepts.
• Contribute to patent and research paper publications.

Job Requirements:

• MS/PHD in computer science, electrical engineering, or a related field.
• Possess 2+ years of experience in computer vision / machine learning development.

o Demonstrated expertise in research and development within one or more of the following domains:

o Deep network development, particularly with visual data.

o Object detection and tracking.

o Stereo / optical flow / depth estimation.

o Multi-view geometry and 3D computer vision.

o Structure from motion.

o Network compression and optimization.

o Network-based sensor fusion.

o Mathematical optimization.

• Proficient programming skills in Python (knowledge of C++ is advantageous).

As part of IME’s Photonics & Sensors Department, the candidate will take the lead for the development of advanced photonics integration. This could include but not limited as photonic heterogeneous integration by bring various best-in-class materials into silicon wafer, electro-photonics integration, etc. You will work closely with an excellent multidisciplinary team involving photonics, semiconductor process, and fab operation.

Responsibilities:

• Development of various photonics integration capabilities with 8-inch and 12-inch facilities, with emphasis on photonics heterogenous integration.
• Design and fabricate various advanced photonics components and integrated circuits aiming for next-generation photonic applications.
• Design of Experiments (DOE) for both design and process margin checking and control.
• Process metrology data taking, device / circuit performance data taking.
• Data analysis and documentation
• Preparation of technical presentations and papers for internal meetings, as well as conferences and journals.
• Collaborate with project team to ensure quality and on-time delivery for various projects.
• Performs other duties as assigned.

Qualifications:

• PhD in Integrated Photonics, Opto-electronics, Materials Science, Physics or equivalent
• Strong hands-on experience in photonics integration.
• Experience in one or more topics listed below is strongly preferred: confocal microscopy, Raman spectroscopy, semiconductor carrier lifetime measurement, optical nonlinear device characterization, ultrafast optics, or other relevant fields.
• Hands-on experience in photonic simulation using various electrical / photonics design software.
• Strong communication, industry awareness, and problem-solving skills.
• Minimum 3 years project management skill.
• Strong self-motivation and interest in the next-generation photonics technology development.
• Industry experience is a plus.

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 a variety of research activities which include planning, organizing, and conducting research studies under the supervision of the Principal Investigator (http://www.digitalmedicinelab.org/):

• Apply statistics and machine learning techniques to analyse various types of clinical data such as large-scale electronic health records, biosignal data, and/or medical images.
• Conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact in medical informatics and health data science.
• Write high-quality technical/methodological research papers, present research outcomes and develop connections with local and international researchers for collaboration work.
• Perform other academic duties as required by the Principal Investigator.

Job Requirements

• Bachelor or master’s degree in computing / biostatistics / epidemiology / engineering with good mathematical knowledge and some research experience in machine learning and statistics.
• Good programming skills in R or Python.
• Having interests in applying statistics and machine learning to solve real-world medical problems.
• Willing to conduct independent research as well as support team research activities.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

We regret that only shortlisted candidates will be notified.

Description:

We are seeking an enthusiastic and capable full-time Postdoctoral Fellow for the project at the A*STAR Singapore Institute of Clinical Science (SICS). The candidate should have expertise in family, children and teenagers development and have a social science background. The appointment will be tenable for 1.5 years at the first instance, with the possibility of renewal.

Requirements:

• A Ph.D. degree in Social Sciences discipline from a recognized university
• Research expertise in topics related to trends and changes in child and teenagers development
• experience with survey operation in longitudinal studies
• Advanced quantitative research skills
• Publication record in areas related to the above-specified research areas
• Excellent written and spoken communication skills
• Strong organizational skill and interpersonal skill
• Other ad-hoc duties as assigned

We are seeking to recruit a highly motivated Research Fellow/Research Scientist to support the institute’s overall Research and Innovation goals.

Job Description:

The Research Fellow/Research Scientist will be responsible for engineering novel CAR-NK cells with superior anti-tumor efficacy, enhanced tumor infiltration, and excellent resilience against the suppression by the tumor microenvironment.

Job Requirement:

• PhD in Immunology or Cell Biology
• Possess at least a minimum of 5 years relevant work experience
• Substantial background and publication records in cancer immunology, particularly on T and NK cells
• Experience working with patient-derived samples and experimental models
• Good organisational, verbal and interpersonal skills
• Exhibit ability in mentoring and leading the project

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 seeking to recruit a highly motivated Research Fellow/Research Scientist to support the institute’s overall Research and Innovation goals.

Job Description:

The Research Fellow/Research Scientist will be responsible for engineering novel CAR-NK cells with superior anti-tumor efficacy, enhanced tumor infiltration, and excellent resilience against the suppression by the tumor microenvironment.

Job Requirements:

• PhD in Immunology
• Substantial background and publication records in cancer immunology particularly on T and NK cells
• Experience working with patient-derived samples and experimental models
• Good organisational, verbal and interpersonal skills
• Exhibit ability in mentoring and lead the project

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 successful candidate will work with Dr Tan Yan Shuo on statistical and machine learning theory under a project on the theoretical foundations of decision trees and ensembles.

The main responsibilities of the position include:
Proving theorems, forming new theoretical hypotheses, performing simulations, writing papers to communicate results, all under the PI’s direction.

Qualifications

• Qualifications / Discipline:
PhD in Statistics, Computer Science, or related field.

• Skills:
Strong mathematical training, deep understanding of statistical machine learning theory, especially in decision trees and ensembles.

• Experience:
Has several first author papers published in top machine learning venues (ICML, NeurIPS, AISTATS, JMLR).

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 Senior Research Fellow (Data Science & Statistics) in the Centre for Research in Health Systems Performance, Yong Loo Lin School of Medicine.

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yon Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

Job Description

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw See Hock School of Public Health.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and will have access to travel support to disseminate research outcomes at international academic conferences.

The position is a 2-year full-time appointment at the academic rank of Senior Research Fellow (particularly strong applications at the level of Research Fellow will be considered). An option to renew the appointment for subsequent years will depend on performance and continued funding for the project. There is the possibility to move to tenure track depending on performance. Start date is flexible, with the position expected to commence in the first half of 2024.

Purpose of the post

CRiHSP is hiring a highly motivated and experienced postdoctoral researcher. The successful candidate will bring a combination of technical expertise in data science and applied statistical methods in health systems research. They will make a significant contribution to setting up and developing the centre at this crucial stage in relation to its research, training, and evaluation and engagement areas of activity. The successful candidate will report to the CRiHSP Director of Research. The role provides a rare opportunity to work at the centre of this rapidly evolving field, shaping the future of healthcare and clinical practice.

Main Duties and Responsibilities

The responsibilities include:

• Establishing an independent research programme as aligned with CRiHSP priorities by securing external funding;
• Supervising of junior research staff in data collection, analysis and dissemination;
• Contributing to research programmes and projects led by other researchers in CRiHSP;
• Facilitating the integration and curation of clinical and other routinely collected data across (NUHS)
• Contributing to postgraduate course design and teaching and on the job training of evaluation fellows; and
• Mentoring of students and junior researchers.

Please note that this job description is not intended to be exhaustive. Duties and responsibilities outlined may be amended during appointment, in light of changing circumstances. In addition to these duties, the post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

Qualifications

Applicants will be evaluated based on the following selection criteria:

Qualifications

• A recognized Doctoral degree in Data Science, Statistics or a closely related field with a strong post-doctoral research record (essential)
  

Experience

• At least 4 years' postdoctoral experience
  Proven track record in handling and analyzing large healthcare dataset (essential)
  Track record of publishing in international peer-reviewed journals (essential)
  Researchers with existing research activities related to developing and using artificial intelligence methods in the context of health systems research are particularly encouraged to apply
  

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
  Strong leadership skills with the ability to work independently and as part of a multidisciplinary team (essential)
  Highly developed problem-solving skills and adept at managing complex research data (essential)
  Evidence of potential to generate and maintain an independent stream of funding (essential)
  Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
  Ability to work with culturally diverse populations (essential)
  

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Prof Jose M Valderas 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) as well as a cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above.

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.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

We are looking for a Research Assistant with experience in experimental atomic physics for a project in on quantum interfaces between internal atomic states and photons to prepare entangled atom-photon states. This position will involve the preparation of optical pulses with a well-defined time width and frequency, and requires experience with laser spectroscopy and single photon detection.

Additionally, knowledge of quantum state estimation will be advantageous. The Research Assistant will work in a group of experienced researchers in an academic environment.

Job Requirements

We expect the candidate to have an Honours degree in experimental Physics, fluency in English, and experience in an experimental optics lab. Ability to integrate into a diverse team of researchers is very important. Knowledge in typical numerical tools for simulation and experimental control of experiments is highly desirable.

We are seeking to recruit a highly motivated Research Fellow/Research Scientist to support the institute’s overall Research and Innovation goals.

Job Description:

The Research Fellow/Research Scientist will be responsible for engineering novel CAR-NK cells with superior anti-tumor efficacy, enhanced tumor infiltration, and excellent resilience against the suppression by the tumor microenvironment.

Job Requirement:

• PhD in Immunology or Cell Biology
• Possess at least a minimum of 3 years relevant work experience
• Substantial background and publication records in cancer immunology, particularly on T and NK cells
• Experience working with patient-derived samples and experimental models
• Good organisational, verbal and interpersonal skills
• Exhibit ability in mentoring and leading the project

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 seeking to recruit a highly motivated Research Fellow/Research Scientist to support the institute’s overall Research and Innovation goals.

Job Description:

The Research Fellow/Research Scientist will be responsible for engineering novel CAR-NK cells with superior anti-tumor efficacy, enhanced tumor infiltration, and excellent resilience against the suppression by the tumor microenvironment.

Job Requirements:

• PhD in Immunology
• Possess at least a minimum of 5 years relevant work experience
• Substantial background and publication records in cancer immunology particularly on T and NK cells
• Experience working with patient-derived samples and experimental models
• Good organisational, verbal and interpersonal skills
• Exhibit ability in mentoring and lead the project

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.

Manage Customer Onboarding/Offboarding:

• Process the end-to-end customer onboarding process, ensuring smooth facilitation.
• Verify customer documentation and ensure compliance with company policies.
• Collaborate with SP Services & MSSL Team to ensure contractual obligations are accurately reflected in downstream systems.
• Process the customer offboarding efficiently.

Customer Interactions Handling:

• Act as the primary point of contact for customers across various communication channels including email, calls, messaging, and social media.
• Collaborate with internal Service Partners such as Sales, Finance, and Credit Control to address customer queries and concerns promptly.
• Effectively route and resolve inquiries and issues to ensure timely resolution.

Sales and Product Inquiry Handling:

• Provide comprehensive information about the organization's products and services to potential customers.
• Convert leads into sales by showcasing the value proposition effectively.

Administrative Task:

• Process forms (eg. GIRO).
• General administrative tasks (eg. Verification and submission of team invoices).

Requirements

• Diploma and/or previous experiences in related field preferred
• Excellent communication and documentation skills
• Ability to multitask and prioritize tasks effectively.
• Attention to detail and accuracy in documentation.
• Proficiency in MS Office Suite.
• Work collaboratively in a team.

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

NUS is looking for a Senior Research Fellow to work on Digital Twin of microgrid (MGDT) with energy management system (EMS).

The job requires the candidate to build the digital twin model of the hybrid microgrid with EMS with different operating conditions of sub-system and its associated equipment before actual implementation. Further, this MGDT will be used for the EV applications, therefore, Smart EV Charging, Energy Storage Management System, Energy Storage System, etc to provide unified experience for operation team will also need to be considered.

Qualifications

• Possess a recognised PhD degree in Electrical Engineering or equivalent with specialisation in microgrid, or EMS.
• 3 or more years’ postdoctoral research experience.
• Able to work independently by conducting experiments alone or in teams when required, and possess strong experimental validation experience
• Familiar with working of renewable energy systems, digital twin, energy storage, optimisation and control algorithm development.
• Familiar with state-of-the-art simulation platforms such as MATLAB/Simulink.
• Able to work on multiple tasks and projects in a multi-cultural and dynamic environment, with industrial partners, governmental agencies and collaborators.
• Able to draft research proposals, assist the PI in applying for research grants, and manage the research funds.
• Good written and communication skills.
• Open to fixed-term contract.

Job Description

The Centre for Quantitative Medicine (“CQM”) in Duke-NUS Medical School invites applications from outstanding candidates to join a talented team of data analysts, data scientists and biostatisticians supporting cutting-edge research in a world class academic medical centre. The School embodies a strategic partnership between Duke University and National University of Singapore. It works closely with the Singapore Health Services cluster, a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. CQM is an academic centre for quantitative scientists and strives to bring the quantitative science and biomedical research communities together.

We invite applications for a Research Assistant/ Research Assistant (Senior) position for research studies related to Intensive Care Unit (ICU) and hospital length of stay after general ward admission from the Emergency Department.

The successful candidate will perform a variety of research activities which include but not limited to:-

• Perform systematic review on the literature.
• Conduct data pre-processing and data cleaning using R software.
• Write scientific reports and contribute to research papers.
• Collaborate on multiple projects within the lab.
• Attend project meetings and join journal clubs.
• Perform other academic duties as required by the Principal Investigator(s).

Job Requirements

• Bachelor's Degree in Statistics, Computer Science or other related disciplines. (Degree must be conferred by the start date of the appointment).
• Prior experience in analysing clinical data.
• Have experience with systematic reviews.
• Possess good communication and writing skills.
• Relevant prior work experience in research or healthcare will be advantageous.
• Self-motivated, a fast learner and team player with excellent interpersonal skills.
• Have good work ethics and a positive working attitude.
• Proficient in MS Office applications; Proficiency in R programming will be an advantage.

Interested applicants can send their applications including a CV and Cover Letter. We review applications on a rolling basis and 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

This project aims to automate the design of origami-based deployable building integrated photovoltaics (BIPV) to mitigate the energy consumption of skyscrapers. Buildings worldwide account for a third of energy consumption, BIPV offers a sustainable solution, embedding solar panels into building exteriors. However, the complexity of BIPV installation and a lack of skilled professionals impede their broader adoption. To overcome the challenge in installation, we’re introducing deployable BIPVs and developing a dedicated design tool tailored for origami-based BIPVs on skyscrapers.

The main research tasks for the project include but will not be limited to:

• Origami Pattern Design: To devise a comprehensive tool that facilitates the design of origami-based deployable BIPVs

• Thickness Accommodation: To establish a general thickness accommodation model that converts origami patterns into tangible BIPV prototypes;

• Prototyping and Testing: To fabricate a scaled laboratory prototype of the envisioned BIPVs

• Research & Documentations: document all research findings, tool development stages, and pattern designs for reference and publication

• Collaboration and Communication: Collaborate with research fellow, Ph.D. students, masters, and undergraduates in the group.

Qualifications

• Ph.D. in Origami Engineering, Structural Optimization, Mechanical Engineering, Mechatronics, or related disciplines.
• Experience in developing origami patterns, structural optimization, robotics, mechatronics, etc.;
• Excellent interpersonal and communication skills.
• Good teamwork abilities, self-motivation, and self-reflection.
• Proficiency in the English language, both in oral and written form.

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

Flexible electronics lab at NUS MSE is looking for a Research Assistant to work on a soft robotics project. This position requires following responsibilities;
- Design, fabrication and characterization of soft robotic devices.
- Working on experimental setup of actuator preparation, fabrication and characterization.
- Working closely with PI and lab members.

Qualifications

• Bachelor’s degree
• Experience on Control
• Experience on Robotics
• Experience on Design
• Individual and team work ability
• Good writing and communications skills
• Risk management and problem-solving ability

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.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Information Systems and Analytics, 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 at least one of the following research areas:
• Artificial Intelligence and Machine Learning
• Blockchain and fintech

Only shortlisted candidates will be notified.

Qualifications

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

Job Description

• Manage the overall maintenance, repair and the day-to-day upkeep of the Club’s properties, facilities, and equipment with regular inspections and implement an effective maintenance program.
• Plan, execute and supervise building upkeep and maintenance carried out by term contractors and service providers engaged by the Club and ensure that services rendered are according to agreed standards and timelines.
• Supervise and follow-up on the completion of additions and alteration works of the Club's renovations, and rectification of defects of the building.
• Source for and manage facilities’ suppliers and service providers.
• Provide operational and logistical support for the Club’s various daily activities.
• Perform minor repairs, including but not limited to masonry, minor electrical, plumbing, and temporary repairs on an emergency basis.
• Ensure compliance with regulations and statutory obligations in relation to the Club properties and facilities as well as workplace safety and health requirements.
• Oversee and supervise the day-to-day activities of the facilities and maintenance team, provide backup for procurement, system administration, and other activities.
• Execute facilities management related activities and administration.
• Assist in the preparation and monitoring of the Club’s budget for facilities management.

Job Requirements

• Candidates must possess at least a Diploma in Estate Management or its equivalent with at least 5 years of relevant experience.
• Knowledge of building operations and maintenance and related regulatory requirements. Prior experience in MCST and Country Club organisations will be advantageous.
• General knowledge of building maintenance, general carpentry, plumbing, electrical, audio systems and D.I.Y. building works.
• Proficient in MS Office and knowledge of reading architecture plans.
• Good organisational, communication, interpersonal and negotiation skills.
• Willing to work one weekend per month.

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 Division of Allergy & Immunology at the Department of Paediatrics, Yong Loo Lin School of Medicine, NUS is looking for highly motivated and enthusiastic candidates with a keen interest in clinical translational research in vaccine immunology to join our team as a Research Fellow. We run cohort studies, observational studies and clinical trials in Paediatric Translational Vaccinology to understand the immune correlates of protection, and determinants of adaptive vaccine responses in children.

Appointments will be made on a one-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Fellow will be responsible to, and collaborate with, the Principal Investigator and study team members to conduct various research projects in the field of Paediatric Vaccine Immunology to achieve high quality and impactful deliverables. Specific roles include design and conduct of immunological experiments, data analysis, engagement with external collaborators, and preparation of manuscripts as lead author and conference presentations.

Main Duties and Responsibilities

The Research Fellow will be expected to conduct original research and contribute to the research activities of the group. The RF will be able to:

1. Independently design and optimize ELISA, flow cytometry and cell culture based immunological experiments
2. Conduct experiments to a high standard of accuracy and precision, and supervise research assistants to do the same
3. Select appropriate subjects for experiments based on clinical questions of interest to the Principal Investigator and research team
4. Perform data cleaning, statistical analysis and data visualization using a variety of statistical methods including bioinformatics platforms such as R and Python
5. Perform literature searches and scientific writing in the form of grants, manuscript, reports, reviews, abstracts, poster and oral presentation
6. Assist with administrative duties such as overseeing and planning of study milestones, budget and deliverables with the program admin lead
7. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
8. Assist with any other duties of a similar nature that are delegated by the PI.

Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position.

Qualifications

The applicant should:

1. Have a PhD in Biomedical or Biological Sciences or Bioinformatics;
2. Have at least 2 years’ experience with data analysis, working with advanced statistics and grant/manuscript writing;
3. Be able to work independently and in a team, have an investigative nature, self-motivated with initiative;
4. Have outstanding organizational skills and interpersonal skills;
5. Have strong communication skills, both written and verbal and excellent facilitation and presentation skills;
6. Have strong troubleshooting and problem-solving ability;
7. Have knowledge of computer applications, e.g. MS office (Word, Excel), PowerPoint, Adobe, Stata/SPSS, GraphPad Prism and Referencing software;
8. Experience in Bioinformatics expertise is favorable
9. Competence in R or Python or equivalent programming knowledge is desirable

Application

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

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.

About Us

Green Link Digital Bank is Singapore's inaugural wholesale digital bank focusing on supply chain finance, mainly serving MSMEs, and aiming to help MSMEs grow and improve digitization.

We are looking for a Credit Admin to grow our business.

Responsibilities

• Ensure seamless processing of credit facility disbursement for loan products, Trade and Supply Chain Financing Products.
• Possess good drafting skills and be able to draft and/or vet letters of offers, ensuring that all approved terms and conditions for the banking facilities and the Bank’s standard requirements are accurately incorporated and adhered to.
• Verify that all loans are approved in accordance with the Bank’s Lending Authority Limits.
• Work with RMs and appointed solicitors to ensure that loan documentation complies with approved T&Cs and is properly executed.
• Ensure that all conditions precedents are properly met before facilities are implemented or availed, otherwise ensure proper approval obtained for all exceptions in accordance with preset guidelines.
• Provide support to business teams in credit transaction management such as setup credit facility into core banking system, monitor outstanding documentation, safe keeping of security and facility documentations.
• Perform limit monitoring to ensure approval is duly obtained for credit facility limit excess and overdue loans (if any) in accordance with the Bank’s policies and guidelines.
• Perform verification of covenants for compliance in accordance with the offer letter/facility agreement
• Assist to perform 1st level AML check for transactions, SWIFTs name screening.
• Provide cross functional support within the Operation Centre Department when required.
• Identify opportunities and initiate suggestions for improvement.
• Provide support for ad-hoc projects on behalf of the department and to participate in UAT testing.

Requirements

• Degree or Diploma Holder with 5-6 years of corporate banking working experience.
• Prior working experience in loan documentation unit is preferred.
• Meticulous and ability to work independently.
• Good interpersonal and communication skills with ability to multi-task while staying oriented.
• Technological orientation with proficiency in Microsoft Office (Word, Excel, PowerPoint) and MS Outlook.