About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The Seed Foundation Machine Learning (ML) Systems team provides end-to-end (E2E) machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and LLM.

The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large scale language models. We have published papers at top tier conferences such as SIGCOMM, NSDI, EuroSys, OSDI, SOSP, MLSys, NeurIPS, etc.

Responsibilities:

- Optimizing large scale parallel training for state of the art deep learning algorithms such as large language models, multi-modality models, diffusion, reinforcement learning, etc

- Research and develop our machine learning systems, including accelerated computing architecture, management and monitoring

- Deploy the machine learning systems, distributed machine learning training and inference

- Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC)

Qualifications

Minimum Qualification:

- Bachelor or above degree in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies;

- At least 3 years or more working experiences;

- Familiar with machine learning algorithms, platforms and frameworks such as PyTorch and Jax.

- Have basic understanding of how GPU and/or ASIC works;

- Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python;

Preferred Qualifications:

The following experiences will be a big plus:

- GPU based high performance computing, RDMA high performance network (MPI, NCCL, ibverbs);

-Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD - AI compiler stacks such as torch.fx, XLA and MLIR;

- Large scale data processing and parallel computing;

- Experiences in designing and operating large scale systems in cloud computing or machine learning;

- Experiences in in-depth CUDA programming and performance tuning (cutlass, triton)

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Panasonic

Enriching Lives Through

INNOVATION & TECHNOLOGY

Going beyond just providing good products, we at Panasonic are firmly entrenched in the brief of delivering ideas that will provide a profound impact on people’s lives around the world. At the forefront of this endeavor is ensuring that our ideas are allied with the relentless pursuit of reaching new heights of excellence when it comes to pushing the boundaries of innovation. This allows us to focus on enriching the present and enhancing the future for societies throughout the globe.

We invite enthusiastic and dedicated individuals to join us as:

Research Engineer
5G Advanced / 6G Standardization Researcher

Responsibilities:

· Conduct research for 5G-Advanced/6G (3GPP Release 20 and beyond) with focus on Layer 1/Layer 2 technologies, study related technical issues, and work on novel features or relevant techniques to create patents for inclusion into future 5G/6G standards.

· Be part of Panasonic delegation team to attend 3GPP standardization conferences, submit and discuss technical contributions with other meeting delegates.

· Work closely with Panasonic team in monitoring standard development progress and technology trend for exploring future research directions.

· Conduct simulations to support and/or evaluate research work, if applicable.

Requirements:

· Bachelor/Master/PhD degree in Electronics/Electrical/Computer Engineering or related discipline, with wireless communication background.

· Familiarity with cellular communication system such as LTE and/or 5G, and its system architecture, Physical (PHY), and/or Medium Access Control (MAC) layers, will be a plus.

· Strong analytical and problem-solving skills, with the ability to understand complex technical issues and propose effective solutions.

· Passion and deep interest in 5G/6G technologies, with a desire to be at the forefront of research and development in this field.

· Excellent written and verbal communication skills, with the ability to convey technical information clearly and concisely.

· 1 to 5 years of experience

Please send e-mail indicating both the job title and job area, with a complete resume and academic transcripts by 3 November 2024, giving full details of your background, experience, career objectives, current and expected salaries, contact number(s) together with a recent non-returnable photograph to:

PANASONIC R&D CENTER SINGAPORE

202 Bedok South Avenue 1 #02-11 Singapore 469332

E-mail: [email protected]

Website: https://research.sg.panasonic.com/

(We regret that only shortlisted candidates will be notified.)

We are looking for one Research Fellow for research activities in the following areas:

1. Theory and computational modeling of electromagnetism in media, plasmonic systems, and metamaterials, including cavity quantum electrodynamics.
2. Inverse design in nanophotonics or quantum nanophotonics.
3. Application of plasma modeling tools like particle-in-cell and magnetohydrodynamics to plasmonic or excitonic systems.
4. Study novel optoelectronic effects in low-dimensional materials and time crystals.

The applicants should have a Ph.D. degree (for the Research Fellow position) in Physics, Applied Physics, Engineering, or Applied Mathematics. Preference will be given to those with a strong publication record, open-minded, independent, and able to collaborate with other team members and experimental partners. Ph.D. students (graduating within 6 months) with relevant expertise are also encouraged to apply.

Technical requirements:

1. Ability to formulate physical models and solve the formulated equations analytically or numerically.
2. Strong foundation in numerical simulation, including developing and modifying existing codes to include multiple physics.
3. Solid foundation in electromagnetism, quantum mechanics, solid-state physics, material sciences, and computational methods like finite-difference-time-domain, finite-element, particle-in-cell, etc.

Project Overview

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

Responsibilities

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

Requirements

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

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

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

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

Job Title: Heterogeneous Integration Laboratory Officer

Job Description:

Are you a recent graduate eager to dive into the world of cutting-edge electronics? Join us as a Heterogeneous Integration Laboratory Officer and become a key player in advancing next-generation technology. In this role, you’ll gain hands-on experience with state-of-the-art equipment and contribute to groundbreaking research in electronic module integration.

Key Responsibilities:

• Heterogeneous Integration: Engage in the complete process of module integration, including die preparation (dicing and back-grinding) and combining components into fully functional modules.
• Equipment Operation: Operate and maintain various high-tech instruments used in the heterogeneous integration process, ensuring they are in optimal condition and ready for use.
• Process Support: Manage equipment readiness, ensure the availability of processing materials, and perform critical tasks in the integration process.
• Inspection and Analysis: Conduct metrology inspections and analyse color-coded data to ensure the highest quality and precision in integrated modules.

What You’ll Gain:

• Cutting-Edge Experience: Work with the latest technology in heterogeneous integration and contribute to innovative research in advanced electronics.
• Professional Growth: Receive hands-on training and mentorship from experienced professionals, with opportunities for career development within a forward-thinking company.
• Collaborative Environment: Be part of a dynamic team that values your input and fosters a culture of learning and collaboration.

Qualifications:

• Diploma or ITE graduate in Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Electrical Engineering, or Electronics.
• We value enthusiasm and a willingness to learn over extensive experience.
• Experience in semiconductors device fabrication or packaging and assembly equipment operations or processes will be added advantage.
• Strong communication skills, industry awareness, and problem-solving abilities.
• Highly motivated and a proactive self-starter with the ability to work effectively in a team.

Why Join Us?:

At "Institute of Microelectronics", we are dedicated to developing talent and providing our team members with the tools and support they need to succeed. We offer a vibrant and inclusive work environment where innovation thrives. Enjoy a range of benefits including ongoing training, career progression opportunities, and the chance to work on pioneering projects.

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

Job Description:

· Digital IC Design and system-level exploration:

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

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

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

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

o RTL implementation for custom circuit design using Verilog/SystemVerilog

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

· Simulation, Verification, and Implementation:

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

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

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

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

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

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

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

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

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

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

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

Job Description:

· Digital IC Design and system-level exploration:

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

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

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

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

o RTL implementation for custom circuit design using Verilog/SystemVerilog

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

· Simulation, Verification, and Implementation:

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

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

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

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

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

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

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

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

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

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

Job Title: Heterogeneous Integration Laboratory Officer

Job Description:

Are you a recent graduate eager to dive into the world of cutting-edge electronics? Join us as a Heterogeneous Integration Laboratory Officer and become a key player in advancing next-generation technology. In this role, you’ll gain hands-on experience with state-of-the-art equipment and contribute to groundbreaking research in electronic module integration.

Key Responsibilities:

• Heterogeneous Integration: Engage in the complete process of module integration, including die preparation (dicing and back-grinding) and combining components into fully functional modules.
• Equipment Operation: Operate and maintain various high-tech instruments used in the heterogeneous integration process, ensuring they are in optimal condition and ready for use.
• Process Support: Manage equipment readiness, ensure the availability of processing materials, and perform critical tasks in the integration process.
• Inspection and Analysis: Conduct metrology inspections and analyse color-coded data to ensure the highest quality and precision in integrated modules.

What You’ll Gain:

• Cutting-Edge Experience: Work with the latest technology in heterogeneous integration and contribute to innovative research in advanced electronics.
• Professional Growth: Receive hands-on training and mentorship from experienced professionals, with opportunities for career development within a forward-thinking company.
• Collaborative Environment: Be part of a dynamic team that values your input and fosters a culture of learning and collaboration.

Qualifications:

• Diploma or ITE graduate in Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Electrical Engineering, or Electronics.
• We value enthusiasm and a willingness to learn over extensive experience.
• Experience in semiconductors device fabrication or packaging and assembly equipment operations or processes will be added advantage.
• Strong communication skills, industry awareness, and problem-solving abilities.
• Highly motivated and a proactive self-starter with the ability to work effectively in a team.

Why Join Us?:

At "Institute of Microelectronics", we are dedicated to developing talent and providing our team members with the tools and support they need to succeed. We offer a vibrant and inclusive work environment where innovation thrives. Enjoy a range of benefits including ongoing training, career progression opportunities, and the chance to work on pioneering projects.

Laboratory Technician (Electrical/Electronics/Mechatronics)

Responsibilities

• Support teaching and learning in the following areas:

- Preparation of laboratory materials, hand tools, and components for lessons and examinations

- Troubleshoot and maintenance of laboratory tools and instruments

- Management of laboratory space for student projects, project equipment, materials, and storage

- Assist in managing activities in the laboratories and ensure safety procedures are observed

• Perform daily housekeeping and maintenance to ensure the safety, cleanliness, and tidiness of laboratories.
• Liaise with vendors and evaluate quotations from suppliers for laboratory equipment and electronics components.
• Track and maintain laboratory documentation (i.e., Risk Assessments and Components Data Sheets) and inventory of laboratory equipment, hand tools, and components

Requirements

• Diploma in Electronics & Electrical Engineering or equivalent
• Knowledge in Electronics/Mechatronics
• Knowledge and hands-on experience in operating Electronics measuring instruments such as Digital Oscilloscope, Digital Power Supplies, Digital Function Generator and Digital Multimeter
• Able to understand PCB schematics, PCB/circuit layouts
• Possesses good soldering skills
• Proficiency in Microsoft Office and Circuit Simulation
• Must be able to lift relatively heavy objects
• Must be able to differentiate different colours for work purposes
• Team player and able to work independently

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Qualifications

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Qualifications

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

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the team

Machine Learning systems team provides E2E machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and LLM. The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large scale language models. We have published papers at top tier conferences such as SIGCOMM, NSDI, EuroSys, OSDI, SOSP, MLSys, NeurIPS, etc.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Research and develop our machine learning systems, including heterogeneous computing architecture, management, scheduling, and monitoring;

- Manage cross-layer optimisation of system and AI algorithms and hardware for machine learning (GPU, ASIC);

- Implement both general purpose training framework features and model specific optimisations (e.g. LLM, diffusions);

- Improve efficiency and stability for extremely large scale distributed training jobs;

Qualifications

Minimum Qualifications:

1. Currently pursuing a PhD in Computer Science, engineering quantitative field with a background in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies

2. Familiar with machine learning algorithms and platforms;

3. Have basic understanding of how GPU and/or ASIC works;

4. Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python;

Preferred Qualifications

1. GPU based high performance computing, RDMA high performance network (NCCL, ibverbs); Tensorflow, Jax, PyTorch or other deep learning frameworks;

2. Large scale data processing and parallel computing;

3. Experiences in designing and operating large scale systems in cloud computing or machine learning;

4. Experiences in in-depth CUDA programming and performance tuning

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.

If you have any questions, please reach out to us at [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 East Asian Institute at the National University of Singapore is looking for a Research Fellow with an excellent university degree, preferably with working experience in research on China and East Asia, with focus on sociology, public health, education and international development, and geopolitical analysis.

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

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

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

Job Description:

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

Requirements:

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

Requirements

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

About us

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

Qualifications

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

Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Assistant Professor (Health Promotion/Implementation Science), Saw Swee Hock School of Public Health

...

Job Description

The National University of Singapore – which is the top-ranked university in Asia – is recruiting full-time Assistant Professors for the Saw Swee Hock School of Public Health (SSHSPH) on the tenure/research/practice track appointments. For tenure-track appointments, appointees are given fixed contracts for up to 7 years, with the goal of obtaining tenured appointments at the end of this period. In addition to an attractive salary and benefits package, new faculty members may be eligible for a start-up grant to initiate their independent stream of research and subsidised university accommodation.

The positions are specifically for faculty to work in the Health Systems & Behavioural Sciences Domain of SSHPH. Researchers active in one or more of the following areas of Health Promotion/Implementation Science are particularly encouraged to apply:

Health Promotion
• Research on:
o Behavioural and communication theories/models,
o Social, environmental, and behavioural change interventions, and
o Evidence-based strategies and their impact on socio-behavioural, environmental and health outcomes for various populations.

• Analyses of:
o Population health needs using mixed methods and appropriate statistical procedures, e.g., structural equation modelling, and
o Healthcare systems and policies to design health promotion interventions for the general public as well as at-risk populations.
• Planning, implementation, evaluation, and communication of sustainable and effective programmes targeted at health promotion and/or disease prevention for the public.
• Development and advocacy of practices, policies, and laws that will provide supportive and enabling environments for the promotion and improvement of public health.
• Leveraging on structures and mobilisation of organisational, governmental and community resources to create health-promoting environments.

Implementation Science
• Research on attenuating implementation bottlenecks and roadblocks.
• Development and optimisation of implementation strategies and methods to generate sustainable improvements in healthcare and delivery systems.
• Promoting the systemic uptake of research findings to advance positive outcomes in clinical, organisational or policy contexts.

Job Requirements

Requirements:
a) Recognised Doctoral degree in a relevant discipline with strong post-doctoral research records,
b) Track record of publishing in high-impact international peer-reviewed journals,
c) Experienced in leading independent research studies or a component within larger research programmes,
d) Ability to generate and maintain an independent stream of research funding,
e) Ability to teach public health courses at both undergraduate and graduate levels,
f) Ability to work in multidisciplinary teams, and
g) Ability to work with culturally diverse populations.

Responsibilities include:
• Establishing an independent research agenda through extramural funding,
• Developing collaborative, multidisciplinary research,
• Curricula design and teaching,
• Supervision of postgraduate students advising, and
• Contributing to policy/community development in the field of public health.

Application Procedure

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

Please note that only shortlisted candidates will be contacted.

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.

Associate Professor (Health Promotion/Implementation Science), Saw Swee Hock School of Public Health

Job Description

The National University of Singapore – which is the top-ranked university in Asia – is recruiting full-time Associate Professors for the Saw Swee Hock School of Public Health (SSHSPH) on the tenure/research/practice track appointments. In addition to an attractive salary and benefits package, new faculty members may be eligible for a start-up grant to initiate their independent stream of research and subsidised university accommodation.

The positions are specifically for faculty to work in the Health Systems & Behavioural Sciences Domain of SSHPH. Researchers active in one or more of the following areas of Health Promotion/Implementation Science are particularly encouraged to apply:

Health Promotion
• Research on:
o Behavioural and communication theories/models,
o Social, environmental, and behavioural change interventions, and
o Evidence-based strategies and their impact on socio-behavioural, environmental and health outcomes for various populations.
• Analyses of:
o Population health needs using mixed methods and appropriate statistical procedures, e.g., structural equation modelling, and
o Healthcare systems and policies to design health promotion interventions for the general public as well as at-risk populations.
• Planning, implementation, evaluation, and communication of sustainable and effective programmes targeted at health promotion and/or disease prevention for the public.
• Development and advocacy of practices, policies, and laws that will provide supportive and enabling environments for the promotion and improvement of public health.
• Leveraging on structures and mobilisation of organisational, governmental and community resources to create health-promoting environments.

Implementation Science
• Research on attenuating implementation bottlenecks and roadblocks.
• Development and optimisation of implementation strategies and methods to generate sustainable improvements in healthcare and delivery systems.
• Promoting the systemic uptake of research findings to advance positive outcomes in clinical, organisational or policy contexts.

Job Requirements

Requirements:
a) Recognised Doctoral degree in a relevant discipline with strong post-doctoral research records,
b) Track record of publishing in high-impact international peer-reviewed journals,
c) Experienced in leading independent research studies or a component within larger research programmes,
d) Ability to generate and maintain an independent stream of research funding,
e) Ability to teach public health courses at both undergraduate and graduate levels,
f) Ability to work in multidisciplinary teams, and
g) Ability to work with culturally diverse populations.

Responsibilities include:
• Establishing an independent research agenda through extramural funding,
• Developing collaborative, multidisciplinary research,
• Curricula design and teaching,
• Supervision of postgraduate students advising, and
• Contributing to policy/community development in the field of public health.

Application Procedure

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

Please note that only shortlisted candidates will be contacted.

(Hybrid WFH) Search Engine Specialist (SEO)

• Basic Salary range: (Junior: S$3,600 - 4,200 | Senior: S$4,200 - 4,500)
• 5 days, 10am - 6pm (3 days in office, 2 days WFH)
• Location: Eunos

Job scopes:

• Research and content planning.
• On-page optimization.
• Content creation and review.
• YouTube optimization.
• Link-building.
• Performance monitoring.
• Technical SEO.
• Algorithm updates.

Requirements:

• Bachelor’s degree
• Minimum 2 years of SEO work experience
• Page 1 keyword ranking expertise
• Semrush, HubSpot, WordPress, Google Analytics
• Stock market knowledge (a plus)

Chew Xing Shan Reg No: R22107044

The Supreme HR Advisory Pte Ltd EA No: 14C7279

WhatsApp: +65 83592812 [Shannon]

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

Key Responsibilities:

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

Requirements:

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

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

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

Qualifications

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

Responsibilities

Responsibilities include:

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

More Information

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

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

Please note that only shortlisted candidates will be contacted.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated and talented Research Fellow to join our team in the development of rechargeable batteries using computational design. As part of this project, you will play a key role in designing rechargeable battery materials using phase field simulation and machine learning.

Qualifications

• Ph.D. in Materials Science, Chemistry, Physics, or a related field.
• A deep understanding of solid-state physics/chemistry and general physical chemistry.
• Knowledge of rechargeable battery and electrochemistry.
• Experience with phase field simulation for rechargeable battery materials.
• Experience and skills in scientific programming (e.g. Python or C/C++) and data analysis, including experience with UNIX/Linux operating systems and command-line environments (e.g. Bash).
• Experience in machine learning & deep learning, database, and good understanding of high-performance computing hardware is a plus.
• A track record of publishing papers in decent scientific journals and excellent writing & presentation skills.
• Able to collaborate with experimentalist and work with other team members.

Tuition Teacher (Math, Science & English subject)

Working Days & Hours: Discuss During Interview
Working Location: Alexandra Village
Salary Range: $3000-$3500

Job Responsibilities:

• Teaching students according to the MOE syllabus and curriculum
• Guiding and motivating students to succeed in their academics
• Curriculum development when necessary
• Monitoring of student work
• Following up with and updating parents on their child’s progress

Job Requirement:

• Relevant Experience

Tan Jia Jun | REG No: R23112681

The Supreme HR Advisory Pte Ltd| EA No: 14C7279

Tuition Teacher (Math, Science & English subject)

Working Days & Hours: Discuss During Interview
Working Location: Alexandra Village
Salary Range: $3000-$3500

Job Responsibilities:

• Teaching students according to the MOE syllabus and curriculum
• Guiding and motivating students to succeed in their academics
• Curriculum development when necessary
• Monitoring of student work
• Following up with and updating parents on their child’s progress

Job Requirement:

• Relevant Experience

Tan Jia Jun | REG No: R23112681

The Supreme HR Advisory Pte Ltd| EA No: 14C7279

Main Responsibilities

• Being part of a team of data scientists to build, deploy and monitor AI/ML models to generate values for the business.
• Manage key stakeholders’ expectations, set project directions, timeline, and deliverables.
• Ideate and design solutions for process re-engineering to embed the AI/ML model into business processes.
• Experimental design to attribute value contribution of data science models.
• Research and development on new tools and evaluate bringing it into client’s tech stack.
• Create a high-performing team culture and keep up to date with latest developments in data science.

Qualifications & Experience

• Bachelor’s degree or above in Statistics, Computer Science, Mathematics, Business Analytics, Economics, or relevant fields.
• Masters in Statistics or any quantitative analytics or equivalent professional qualification.
• At least 2 – 5 years of relevant experience in financial services industry, understand drivers of business and able to apply data solution to deliver desirable outcomes.
• Individual should have experience in dealing with large customers’ data set, able to generate insights from complex analysis and models and communicate effectively to stakeholders.
• Individual should have a track record of building and deploying data science models that have a measured value contribution to the business.
• Individual should have insurance domain knowledge.
• Individual should have experience in leading a small team.
• Proficient in AWS, Snowflake, Airflows, SageMeta (AWS ML).