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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for Research Fellows who have experience in realizing two-dimensional (2D) memtransistor / memristor devices and its integration with active selectors for ultralow power electronics applications.

The candidate is expected to:
• Develop device designs, fabrication, and extensive characterization of advanced memory/transistors integrated with two-dimensional transition metal dichalcogenides (2D-TMD).
• Report experimental results to the Principal Investigator
• Publish papers in reputable journals/conferences
• Assist in preparing progress reports and research proposals

Qualifications

• Possess a recognized PhD degree in Electrical/ Electronic, Physics or Materials Engineering
• He/she should ideally have a proven track record of publications in leading journals.
• Strong written and oral communication and presentation skills.
• Relevant experience in the field of CMOS nano-electronic devices and nano-fabrication technology would be an added advantage.
• Possess excellent communication and interpersonal skills to work with various stakeholders.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• Open to fixed-term contract

The Signature Research Programme in Neuroscience and Behavioural Disorders (NBD) is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders.

Controlling neuronal activity with light is an important method for the analysis of neuronal circuits. The Ministry of Education has funded a five-year project to develop and use optogenetic tools. This exciting project aims to conduct optogenetic experiments in Drosophila, looking at the circuit function of neuromodulatory cells. The Claridge-Chang Lab at Duke-NUS Medical School (https://www.claridgechang.net/) is seeking to appoint a Research Fellow with a strong background in neuroscience, to join this project. We would be especially interested in scientists with experience in optogenetics, fly genetics, light microscopy, brain imaging, neuronal circuit mapping, molecular cloning, electrophysiology, and/or cell culture.

The selected candidate will perform a variety of research activities which include planning, organising and conducting research studies within the overall scope of a re-search project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: -

• Perform tasks and support all aspects of the research project.
• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings.
• Assist in writing the draft of research papers and review articles.
• Assist to provide guidance and support to other researchers, as well as under-graduate and graduate students.
• Assist with housekeeping of the laboratory area, general maintenance tasks and animal stock maintenance.
• Maintain safety protocols, order/prepare common reagents and maintain laboratory inventory.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Neuroscience (or other related fields with a keen interest in neuroscience).
• Possess laboratory experimental skills including the relevant skill sets to perform the following techniques - behavior analysis, Drosophila experiments, imaging, cell culture, electrophysiology, molecular biology (sub-cloning methods including restriction digests, PCR and gel electrophoresis).
• Possess skills in microscopy such as laser confocal microscopy, image analysis (e.g. ImageJ/FIJI).
• Have skills in biological data analysis such as Python, R or similar analysis methods.
• Prior experience in scientific sourcing & procurement would be advantageous.
• Proven knowledge, skills and abilities with excellent written and oral communication skills.
• A self-motivated individual who is able to work independently, prioritise, multi-task and work collaboratively in a research environment of diverse work-force.

We regret that only shortlisted candidates will be notified.

We are seeking a highly motivated research assistant with a strong mathematical background who is interested to explore new research directions in neuro-symbolic methods, specifically on the interplay between deep learning and symbolic reasoning. The successful candidate can expect to help with the implementation of algebraic machine reasoning frameworks and will work closely with other team members.

The goal of this project is to develop a general neuro-symbolic reasoning framework for solving various reasoning tasks. The symbolic reasoning part of this framework shall be based on algebraic machine reasoning, a new reasoning paradigm built upon commutative algebra and computational algebra. The non-symbolic part of the framework shall primarily be based on deep learning, and could include vision models, language models, and multi-modal models.

Qualification & Experience:

• Bachelor's in computer science.
• Strong programming experience and must be open to learning new things.
• Strong mathematical background, and is excited by the possibility of applying algebraic methods (e.g. in computational algebra) to problems in machine reasoning.
• Candidates with strong algebraic backgrounds or strong machine reasoning backgrounds are prioritized.

Interested candidates should submit a current CV and copies of academic transcripts directly to Ernest Chong ([email protected]) with the email subject header "AI Research Assistant position for project on algebraic machine reasoning". Only shortlisted candidates will be notified.

The Edge AI Acceleration Lab (https://sites.google.com/view/bowang/home) in Singapore University of Technology and Design, Singapore is leading a project on Energy Efficient, Distributed Green Streaming Machine Learning for Edges with Prof. Zehui Xiong (https://sites.google.com/view/zehuixiong), who is a Clarivate Highly Cited Researcher. The team is looking for a highly motivated Senior Research Assistant / Research Fellow. The ideal candidate is expected to hold a Master's / Ph.D. degree with expertise in one of the following domains:

1. Streaming Machine Learning with performance/energy modeling, parallelization framework, or hybrid-model learning
2. Load shedding techniques, efficient workload offloading, or fault-tolerant mechanisms
3. Streaming compression algorithm implementation, or AI-guided automatic system tuning

The team provides first-class facilities. Please email [email protected] with your CV if you're interested in the position.

At NUS Singapore, our people are the driving force behind our success. We pride ourselves on fostering a vibrant and inclusive community of talented individuals from diverse backgrounds.When you join NUS, you become part of a community of passionate individuals who are dedicated to driving innovation and change in education, research, and service. Our culture of inclusivity and entrepreneurship means that you’ll have the freedom to explore your ideas and make a meaningful impact. Your career at NUS is more than just a job - it’s a transformative experience that will shape your personal and professional growth.Explore the link provided to learn additional details about the available job opportunity:

https://career44.sapsf.com/sfcareer/jobreqcareer?jobId=24432&company=nationalunP2

Researchers must be willing to work on multi-disciplinary research projects at the intersection of computational neuroscience and AI. This includes designing human behavioral experiments and collecting human responses, alongside developing computational models of cognitive functions.

Job Requirements:

• Ph.D degree in computer science/engineering, electrical and electronics engineering, or related fields with specialization in NLP, machine learning, deep learning, multimodal processing, or related fields.Have at least 3 publications (1st authors) in ICLR, CVPR, ICCV, AAAI, ICML, NeurIPS, TPAMI, IJCV, IJCAI, ECCV, EMNLP.
• Strong knowledge and expertise in computer vision and/or machine learning.
• Good communication skills.

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.

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

The Centre for Quantum Technologies (CQT) in Singapore, and MajuLab, the French-Singaporean international laboratory, are seeking a talented postdoctoral research fellow to conduct theoretical and numerical investigations on random quantum circuits and their connection with Kardar-Parisi-Zhang (KPZ) physics in quantum systems.

The KPZ equation, introduced in 1986 to describe the growth of rough surfaces, has since become a captivating area of research due to its remarkable universality. A recent article by Nahum et al. [PRX 7, 031016 (2017)] observation an interesting connection between the entanglement growth in random quantum Clifford circuits and KPZ phenomena. This project aims at exploring this connection more broadly, and to discover links with two other quantum platforms studied within the same project that also manifest KPZ physics – systems with Anderson localization and exciton-polariton condensates.

The Research Fellow’s primary focus will be on the random circuit aspects, but they can expect to have close interactions with team members from the other two platforms.

Job Requirements

The candidate should possess a solid academic track record and strong numerical simulation skills. Prior experience in quantum information and computation topics, especially in stabilizer simulations, would be preferred.

The appointee will join CQT at the National University of Singapore under the supervision of a group of researchers including Profs. Kwek Leong-Chuan, Hui Khoon Ng, Jiangbin Gong, Gabriel Lemarié, Maxime Richard, and Christian Miniatura. The candidate will actively contribute to all aspects of the group's operations, including co-supervising interns and PhD candidates. Salary will be competitive and commensurate with the candidate's work experience.

Applicants are required to submit a detailed CV. Positions will initially be offered for 12 months with possible extension by another 12 months. The position is available from June 2024 and will remain open until filled. Shortlisted applicants should also arrange for two letters of reference to be sent directly to Hui Khoon Ng.

Contact list for further enquiries

Centre for Quantum Technologies, and

Majulab, Fr-CNRS, Sorbonne Uni., Côte d’Azur Uni., Nanyang Tech. Uni., and Nat. Uni Singapore,

National University of Singapore, 3 Science Drive 2, 117543, Singapore.

Write to Hui Khoon Ng [email protected]

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.

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

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

Our firm is seeking a talented quantitative analyst to join our dynamic Macro team and work directly under a Portfolio Manager. In this role, you will play a crucial role in assisting the Portfolio Manager with daily tasks, building quantitative models to identify market opportunities, and supporting the development and evaluation of trading strategies.

Responsibilities

• Collaborate closely with the Portfolio Manager, providing comprehensive support in their day-to-day activities.
• Construct and maintain complex financial models in Excel to identify potential trading opportunities in the Asian Macro (FX/Rates) markets.
• Develop and code backtests using Python to rigorously evaluate the performance of trading strategies.
• Meticulously track portfolio positions and monitor relevant market developments to ensure informed decision-making.
• Prepare insightful reports and presentations to effectively communicate research findings to the Portfolio Manager and senior team.

Qualifications

• Strong quantitative skills with a proficiency in mathematical analysis and financial modeling.
• Solid coding skills, preferably in Python, with experience in building quantitative models for financial markets.
• 1-2 years of experience in a financial services environment, with a focus on quantitative analysis, is highly desirable.
• Prior experience related to Asian Macro (FX/Rates) markets is a strong plus.
• A degree in an analytical discipline such as Quantitative Finance, Computer Science, Mathematics, Economics, Engineering, or a related field.
• Excellent communication, collaboration, and time management skills.
• A meticulous and detail-oriented approach to work.

We offer a competitive compensation and benefits package, along with the opportunity to learn from experienced professionals and contribute to the success of our growing team. If you are a highly motivated and quantitative analyst seeking a dynamic and intellectually stimulating environment, we encourage you to apply!

Benefits Summary:

• Up to $10 / hr
• 5 Days work week, 8.30am to 6pm
• Working Location: Penjuru Close , Clementi

Responsibilities:

• Assist in loading & unloading cargo
• Pack, weigh and label completed items for shipment or storage
• Keep complete records of all materials that go through the warehouse
• Performing a cycle count
• Any ad-hoc duties as required

Interested candidates, please submit your updated resume in MS format by using the Apply Now Button.

Text us on for more details:

https://wa.me/6582693981

Our dedicated and approachable E&C consultants will get back to you soon for a confidential discussion.

By submitting your application or resume to us, you will be deemed to have agreed and consented us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

**We regret to inform that only shortlisted candidates would 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.

Head of Department in the following subject: Math & Statistics

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

Requirements:

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

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

· Driven and able 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.

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.

The NUS High School is a specialized 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.

Head of Department in the following subject: Mother Tongue & Foreign Languages

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

Requirements:

· A good Bachelor’s or higher degree in Chinese

· Competent in teaching Higher Chinese, Chinese and Basic Chinese Language at GCE O-Level and GCE A-Level standard

· Driven and able to lead the department in implementing and enriching Mother Tongue curriculum

· Able to collaborate with key personnel, stakeholders and external partners in curriculum development and strategic planning

· 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.

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.