Total 3,061 Education / Training job vacancies in d19 serangoon garden hougang sengkang punggol

RESPONSIBILITIES

• Provide expert advice to on-board new users to NSCC’s systems.
• Engage with new researchers, communities and disciplines with data-intensive computing.
• Translate user requirements into optimal computational work plans.
• Assist in the design of NSCC's HPC systems, including benchmarking NSCC workloads on various platforms and recommending the most suitable architecture for the research community.
• Design and implement scalable and performant HPC software infrastructure with ease of maintenance.
• Analyse system and user job data for efficient resource allocations and management.
• Profile and optimise the user applications and workflow on the NSCC's HPC systems.
• Develop HPC utility and automated testing tools for NSCC's HPC systems.
• Develop HPC user guide and best practice guide documents for NSCC's HPC systems.

QUALIFICATIONS

• Master or Bachelor degree in the field of computer science, computer engineering, or other relevant areas.
• Proven working knowledge of HPC system and software.
• Experience with HPC development toolchain and scientific application software stack (GCC, oneAPI, AOCC, AOCL, MPI, CUDA, HDF5, NetCDF, MKL, and FFTW) for building HPC software is essential, knowledge in using Spack or EasyBuild is a plus.
• Strong programming skills in C, C++, and Python, familiar with Fortran programming is a plus.
• Good knowledge and experience in HPC performance optimization and troubleshooting.
• Familiar with HPC job schedulers (PBS or SLURM), OpenMP & MPI, and container technologies (Docker or Singularity).
• Familiar with scripting languages, Linux and HPC profiler & debugger tools e.g. AWK, Bash, Perl, Conda, GDB, Git and IPM.
• Familiar with HPC storage e.g. GPFS and Lustre.
• Demonstrated good team play spirit and high-level problem solving skills.
• Demonstrated effective communication skill including the ability to articulate technical concepts to a diverse range of clients.
• Demonstrated ability & willingness to contribute novel ideas and approaches in support of research community.
• To be considered for a senior position, the candidate should have at least 3 years of relevant experience in a similar position and environment.
• Familiar with AI software stack (PyTorch and Tensorflow) and programming is a plus.
• Familiar with database technology (MySQL, Cassandra, etcd, MongoDB and Redis) and programming is a plus.
• Good knowledge and experience in HPC analysis and data analytics is a plus.

Job Highlights

• Basic Salary: $2,500 and above
• Performance Incentives: Enjoy additional earnings through commissions and cash incentives upon achieving sales targets.
• Gross Salary: $4,000 and above achievable with successful sales performance

Duties and Responsibilities

• Drive Sales Goals: Identify and reach out to potential buyers, guiding them through our defined selling process with engaging product demos and presentations.
• Product Expertise: Possess in-depth knowledge about our products, conducting demos and providing hands-on experiences to potential buyers.
• Customer Relationship: Maintain strong relationships with existing customers, exploring opportunities for repeat business and new sales.
• Brand Representation: Showcase our brand professionally, ensuring a positive customer experience and fostering trust among our clients.

Qualification and Skills

• Min O’ levels
• Able to communicate with Mandarin speaking customers
• Comfortable with working on weekends
• Ability to work independently, while contributing to team-wide efforts
• Strong sense of ethics and business acumen
• Excellent interpersonal and communication skills

• Able to commit from June to November
• Manage enquiries received via RO's mailbox, phone calls and in-person and routing correspondence during the peak period from May to Oct.
• Support in general office administration matters and RO’s move to Punggol.
• Support in preparation and execution of the Convocation Ceremonies (week of 14 to 18 Oct 2024) and any other duties as assigned.

Requirements

• Able to commit to a 6 months contract
• Has prior experience doing admin work
• Possess at least a Diploma / Degree in any field

For interested candidate, please email your resumes to [email protected]

Denyse Nicole Tan Shuqin (#HDT)

Recruit Express Pte Ltd

CEI No: R1333503

Company EA license : 99C4599

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

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.

Qualifications

• At least a Master’s degree in Malay as a Foreign Language.
• Experience in teaching Malay, preferably in higher education institute.
• Skills/knowledge/experience in online teaching as well as the application of IT to language teaching is preferred.

Job Description

• Teach Malay as a foreign language (Weekday/Weekend)
• Prepare and conduct lessons (in-person, or when necessary, online)
• Mark all coursework and assessments
• Prepare class materials
• Attend the Malay teaching staff meetings
• Perform other duties as assigned from time to time

More Information

Application Documents (in English)

• At least a Master’s degree in Malay as a Foreign Language.
• Cover letter
• CV
• Copies of educational certificates
• Student feedback on teaching delivery.

Submission

Please submit the above-requested documents in a single PDF file in this portal. Shortlisted applicants will be invited to attend an interview and give a teaching demonstration. Only Singapore Citizens / Singapore Permanent Residents can apply. Shortlisted applicants will be invited to attend an interview and give a teaching demonstration.

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

About us

• Friendly working environment
• Centre open only on Mon-Fri (not open on Sat)
• Location: Clementi Central (Walking distance from Clementi MRT Station)

Job Description

• Work with the Centre Manager and peers in planning and delivering programme to infants (up to 18 months old)
• Conduct lessons in accordance to company's and ECDA's policies, guidelines and framework
• Prepare age-appropriate teaching-aids
• Create and set up a safe, pleasant, conducive and engaging environment
• Evaluate and document student's progress development and address individual child’s developmental needs
• Undertake operational duties in compliance to industry regulations
• Conduct routine care for children
• Build and maintain good relationships with parents
• Any other duties assigned to you from time to time by the Centre Manager

Key Requirements

• Applicable to Singapore Citizens and Singapore Permanent Residents
• Minimum WSQ Higher Certificate in Infant Care (WSQ HCIC)
• Both experienced teachers and fresh graduates are welcome
• Passionate, creative and inspiring individuals with positive energy
• Excellent communication skills
• Able to work independently and as a team player

Interested candidates may email your updated resumes with latest photograph, employment history, educational qualification, preferred working location, earliest start date and expected salary to [email protected].

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).

The NUS High School is a specialised school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science. We invite suitable applicants for the following position.

Assistant Head / Teacher in the following subject: Mathematics

We are looking for candidates who possess a relevant professional teaching qualification (or Post-Graduate Diploma Education equivalent) and

· have a passion in the relevant teaching subjects and inspire students to love the subjects via teaching and role modelling

· can participate and contribute to the planning, development and teaching of an integrated 6-year curriculum in the relevant teaching subjects

· are effective within and outside the classroom, adopt innovative pedagogies such as IT-enabled learning, differentiated learning, collaborative learning and learner-focused interaction

· can initiate and mentor research projects

· are able to provide for the learning needs and character development of high-ability learners ranging from 12+ to 18 years of age

· are able to contribute as an effective Co-curricular Activities (CCA) teacher and form-teacher

Requirements:

· A good Bachelor’s or higher degree in Mathematics/Applied Mathematics/Computer Science

· Competent in teaching Mathematics at GCE O-Level and/or GCE A-Level H2/H3 content

· Coding experience in Python, C or Java is advantageous

· Research work experience is desirable – able to offer and guide Mathematics/interdisciplinary research projects for high school students

· Driven and able support Head of Department to lead the department in designing, implementing and evaluating an integrated 6-year Math & Statistics curriculum

· Able to collaborate with key personnel, stakeholders and external partners in curriculum innovation and strategic planning at the school level

· Experience in curriculum and/or management work in secondary schools or junior colleges would be advantageous

Employment Terms:

2-year contract, subject to renewal

Remuneration will be commensurate with qualifications and experience. Interested applicants, please email your detailed resume to [email protected]

Only shortlisted candidates will be notified.

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.

The NUS High School is a specialised school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science. We invite suitable applicants for the following position.

Assistant Head / Teacher in the following subject: Physics & Engineering

We are looking for candidates who possess a relevant professional teaching qualification (or Post-Graduate Diploma Education equivalent) and

· have a passion in the relevant teaching subjects and inspire students to love the subjects via teaching and role modelling

· can participate and contribute to the planning, development and teaching of an integrated 6-year curriculum in the relevant teaching subjects

· are effective within and outside the classroom, adopt innovative pedagogies such as IT-enabled learning, differentiated learning, collaborative learning and learner-focused interaction

· can initiate and mentor research projects

· are able to provide for the learning needs and character development of high-ability learners ranging from 12+ to 18 years of age

· are able to contribute as an effective Co-curricular Activities (CCA) teacher and form-teacher

Requirements:

· A good Bachelor’s or higher Degree in Physics or Engineering

· Competent in teaching Physics at GCE O-Level content or GCE A-Level H2 content

· Knowledge in Astronomy and able to support Astronomy CCA will be an advantage.

· Driven and able to support Head of Department to lead the department in designing, implementing and evaluating an integrated 6-year Physics & Engineering curriculum

· Research experience in Physics or Engineering areas and ability to guide students in research projects will be advantageous

Employment Terms:

2-year contract, subject to renewal

Remuneration will be commensurate with qualifications and experience. Interested applicants, please email your detailed resume to [email protected]

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.

Job Description & Requirements

• Execute & conduct age-appropriate curriculum according to the Company’s curriculum framework
• Maintain quality classroom and learning environment that promotes learning in accordance to the curriculum framework
• Foster a trusting and respectful relationship with children and parents by being a positive role model
• Execute daily routine accordance to time schedule
• Maintain minimum admin work for reference / record purpose

Requirements:

• Diploma or Certificate in Early Childhood Care & Education - Teaching (DECCE-T or CECCCE), Diploma in Child Pyschology & Early Education
• GCE 'O' Level credit in English
• Good problem solving and interpersonal skills
• Ability to build good rapport with parents and various stakeholders
• Enjoy and love the company of young children
• Team player
• Preferably energetic, vibrant and child-like!

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.

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.