TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

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

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

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

The main job directions include:

- Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.

- Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, improving TikTok service code performance and privacy compliance.

- Explore Code Agent capabilities suitable for actual business production environments, and improve TikTok R&D efficiency.

Qualifications

Minimum Qualification

- PhD degree required, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC and SigMOD, etc.) in machine learning (ML), computer vision (CV), natural language processing (NLP) and other fields.

- Programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.

- Research experience in the field of machine learning, especially in large language models (LLMs) and generative artificial intelligence.

Preferred Qualifications

- Excellent problem analysis and solving skills, and passionate about solving challenging problems.

- Passionate about technology, good communication skills and teamwork spirit.

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

Job Description:

• Design, implement and optimize algorithms (e.g. SLAM) for real-time, high-precision localization of autonomous vehicles using sensor fusion of GNSS/IMU/DR, LiDAR, cameras, HD Map, and other sensors.
• Develop and maintain high-definition (HD) maps for autonomous driving applications. Work on the creation, updating, and management of detailed maps that include lane information, road geometry, traffic lights/signs, and other relevant features.
• Improve perception models for feature detection and tracking. Use deep learning and computer vision techniques to detect key features such as road boundaries, obstacles, and dynamic objects to enhance mapping and localization accuracy.
• Develop test plans, perform validation, and run simulations and testing to ensure the accuracy, reliability, and safety of mapping and localization systems in both controlled and real-world environments.
• Stay up to date with the latest advancements in localization, mapping, and autonomous driving technologies. Lead efforts to continuously improve the performance and capabilities of our mapping and localization systems.
• Write professional design and technical documentation.

Job Requirements:

• Master’s or Ph.D. degree in Robotics, Computer Science, Electrical and Electronic Engineering, Computer Vision, Deep Learning and AI, or a related field.
• Working experience in localization, mapping, or autonomous driving systems is preferred.
• Expertise in key mapping and localization techniques including GNSS/IMU/INS, SLAM, and especially deep learning-based perception and sensor fusion.
• Strong analytical and problem-solving skills, strong programming skills in Linux C/C++, excellent communication skills, ability to work collaboratively with the team, etc.

The above information on this description has been designed to indicate the general nature, and level, of the work performed by this position. It is not designed to contain, or be interpreted, as a comprehensive inventory of all duties, responsibilities and qualifications required.

Interested candidates may also apply or write in to CS Chua, EA 12C6130/ R1548619 [email protected]. Shortlisted candidates will be contacted for a discussion.

At Temasek Laboratories@NTU, our mission is to undertake cutting-edge research in defence science and technology, driving new solutions and advancements across various research areas, including Microsystems Technology, Hardware Assurance, Signal Processing, Advanced Materials, Advanced Laser Technology, and Emerging Technologies.

Microsystems Technology Development Centre (MTDC) at TL@NTU is having ISO certified III-V Wafer Fabrication Line up to 100-mm diameter wafers with strong industrial/academic experienced Technical Specialists/ Engineers/ Scientists. We are a fast-paced research facility that designs, develops, and manufactures integrated chips, i.e. heterogeneous system in package modules, for defence and commercial applications.

We are looking for a hands-on Thin Film engineer who demonstrates a positive attitude, collaborates well in a team, and possesses strong technical abilities along with sound problem-solving skills.

Key Responsibilities:

• Work with the module leader and execute the design of experiment (DOE) using advanced techniques such as sputtering, evaporation, and chemical vapor deposition (e.g. SiO2, SiON, TaN, Au, Ti, Al, Ni, Pt and etc.).
• Develop and optimize deposition parameters to achieve precise film thickness, uniformity, and quality.
• Help to identify and troubleshoot process issues, working towards yield enhancement and performance improvement.
• Utilize a range of characterization techniques, including optical microscopes, surface profiler, SEM, Ellipsometer to analyze thin film properties.
• Maintain detailed documentation of processes such as standard operating procedure (SOP), experimental setups, and results for future reference and knowledge transfer and including training.
• Oversee the operation of laboratory equipment and ensure proper functioning. Work with the equipment vendor to conduct routine maintenance, troubleshooting, and calibration of equipment to minimize downtime.
• Work with the University’s procurement team to source and acquire necessary equipment. Evaluate and select vendors, ensuring equipment aligns with research requirements and budget constraints.
• Adhere to laboratory safety protocols and ensure compliance with University and regulatory standards.
• Collaborate with different modules and team members.
• Communicate effectively with team members, providing updates on processes and status of equipment.

Job Requirements:

• Diploma in Engineering (e.g. Microelectronics, Electrical & Electronics Engineering, Material Engineering) with 3 years of relevant working experience or Bachelor’s degree in any Engineering (e.g. Microelectronics, Electrical & Electronics Engineering, Material Engineering).
• Hands-on working experience in semiconductor fab/cleanroom environment in Thin Film area preferred (e.g. SiN, SiO2, TaN, Al, Au, Ti, Ni, Pt and etc.).
• Ability to create and analyze DOE for Thin Film process.
• Experience in wet bench processes, especially the lift-off technique, is essential.
• Basic knowledge in semiconductor fabrication process and device physics.
• Strong understanding of thin film materials and their properties, with expertise in process optimization and troubleshooting.
• Excellent problem-solving skills and ability to work effectively in a collaborative team environment.
• Strong communication skills, with the ability to convey complex technical concepts clearly and concisely.
• Commitment to maintaining high standards of safety, quality, and professionalism in all aspects of work.

We regret to inform that only shortlisted candidates will be notified.

Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

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

Welcome to the Multimodal Interaction & World Model team. Our mission is to solve the challenge of multimodal intelligence、virtual reality world interaction in AI. We conduct cutting-edge research on areas such as Foundations and applications of multimodal understanding models, Multimodal agent and inference, Unified models for generation and understanding, World Model. Our team is comprising experienced research scientists and engineers who are dedicated to developing models that boast human-level multimodal understanding and interaction capabilities. The team also aspires to advance the exploration and development of multimodal assistant products. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore and research multi-modal understanding, generative, machine learning, reinforcement learning, AIGC, computer vision, artificial intelligence and other cutting-edge technologies.

- Explore the basic model of large-scale/ultra-large-scale multi-modal understanding and generation interweaving, and carry out extreme system optimization; Data construction, instruction fine-tuning, preference alignment, model optimization; Improve the ability of data synthesis, scalable oversight, model reasoning and planning, build a comprehensive, objective and accurate evaluation system, and explore and improve the ability of large models.

- Explore and break through the advanced capabilities of multi-modal models and world models, including but not limited to multi-modal RAG, visual COT and Agent, and build a universal multi-modal Agent for GUI/ games and other virtual worlds.

- Use pre-training, simulation and other technologies to model various environments in the virtual/real world, provide the basic ability of multi-modal interactive exploration, promote application landing, and develop new technologies and new products with artificial intelligence technology as the core.

Qualifications

Minimum Qualifications:

- Bachelor degree or above, computer, electronics, mathematics and other related majors.

- Have in-depth research in one or more fields such as computer vision, multimodal, AIGC, machine learning, rendering generation, etc..

- Excellent analytical and problem solving skills; Ability to solve large model training and application problems; Ability to explore solutions independently.

- With good communication and collaboration skills, proactive work, able to harmoniously cooperate with the team to explore new technologies and promote technological progress.

Preferred Qualifications:

- With excellent basic algorithms, solid foundation of machine learning, familiar with CV, AIGC, NLP, RL, ML and other fields of technology, CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH or SIGGRAPH Asia and other top conferences/journals published papers are preferred.

- With excellent coding ability, proficient in C/C++ or Python programming language, ACM/ICPC, NOI/IOl, Top Coder, Kaggle and other competition winners preferred.

- In the fields of multimodal, large model, basic model, world model, RL, rendering generation, leading projects with too much influence is preferred.

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.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Associate.

Key Responsibilities:

• Employing automated methods for gathering and pre-processing data on malware.
• Designing and developing new model that enhance automation for the extraction of more representative features.
• Building deployable systems based on the research results.
• Writing research papers of high quality based on research results.

Job Requirements:

• Master’s degree in Computer Science Or Software Engineering or other related areas.
• Experience on data analysis, design and implementation of neural models (e.g., LSTM, CNN, RNN).
• Research experience on deep learning-based applications.
• Proficient in programming for crawler and data processing tasks.
• Good communication and writing skills.

We regret that only shortlisted candidates will be notified.

Responsibilities

About Doubao (Seed) Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.

With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, we have developed a proprietary general-purpose model with multimodal capabilities. In the Chinese market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application in China.

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 Doubao Large Language Model (LLM) team is dedicated to aggressively advancing the next generation of LLMs, tackling fundamental challenges in LLM development head-on. Our areas of concentration include model self-learning, memory capabilities, long-text generation, and interpretability. We dive deep into the latest technologies and create comprehensive solutions from concept to completion. In our endeavor to adopt LLMs in real-life scenarios, we persistently seek out methods to enhance applications through technological innovation.

Responsibilities

1. Skilled in discovering simple and universal ideas for optimizing large models and applying them to models of various scales to improve performance;

2. Explore the boundaries of large-scale models and perform extreme system optimization to improve model performance and efficiency;

3. Promote the work of data establishment, instruction fine-tuning, preference alignment, and model optimization to improve the quality and adaptability of the model;

4. Relevant application landing, including generation creation, logical reasoning, code generation, etc;

5. Conduct in-depth research and explore more usage scenarios of the model in future life, and expand the application scope of the model.

Minimum Qualifications

1. At least hold a Master degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

2. Proficient in coding ability, familiar with data structure and basic algorithm foundation, skilled in C/C++ or Python; 3. Familiar with algorithms and technologies related to NLP and CV, with a good research record in the relevant field; 4. Excellent problem analysis and problem-solving skills, able to deeply solve problems existing in large-scale model training and application; 5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Preferred Qualifications

1. Familiar with large model training and RL algorithms;

2. In the field of large models, those who lead projects or papers with too much influence are preferred.

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.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

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

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

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

The main job directions include:

- Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.

- Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, improving TikTok service code performance and privacy compliance.

- Explore Code Agent capabilities suitable for actual business production environments, and improve TikTok R&D efficiency.

Qualifications

- PhD/Master's degree required, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC and SigMOD, etc.) in machine learning (ML), computer vision (CV), natural language processing (NLP) and other fields.

- Excellent programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.

- Research experience in the field of machine learning, especially in large language models (LLMs) and generative artificial intelligence.

Preferred Qualifications

- Excellent problem analysis and solving skills, and passionate about solving challenging problems.

- Passionate about technology, good communication skills and teamwork spirit.

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

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

In 2021 the Singapore Hybrid-Integrated Next-Generation micro-Electronics (SHINE) Center was established.

One of the projects in SHINE focuses on developing the technology and demonstrating Radio Frequency (RF) and microwave applications on flexible substrates.

As part of this project, we have a position for a research engineer with proven knowledge and experience in researching, designing, and testing of microwave circuits and subsystems.

Qualifications

• Possess a Bachelor or Master degree in Electrical Engineering
• Experience in the simulation and design of microwave circuits and subsystems.
• Experience with tools such as ADS and HFSS.
• Experience with measurement of microwave circuits using VNAs.
• Able to work independently and in a team.
• Open to fixed-term contract.

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view https://www.ntu.edu.sg/mae/research.

The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Fellow to support the research for the project titled: Collection of carbon dioxide on CO2-philic and phobic surfaces via cryogenic energy.

The scopes cover exploring the selected materials for designing the substrate surface for CO2 condensation, and surface treatment for the liquid wetting for the phase change process and heat exchanging process for the thermal management and decarbonization applications. The project covers material development, interfacial phenomena between gas and liquid, phase change of CO2, heat transfer effect, etc.

Key Responsibilities:

The Research Fellow will conduct the research on development of materials and heat exchanging processes for energy harvesting systems and CO2 collection on the substrate with the different wettability degrees. The roles of this position include:

• Develop and maintain the system for CO2 condensation under the large pressure range.
• Prepare the substrates for CO2 condensation and treating the surfaces with the different degrees with liquid CO2.
• Upgrade the experimental visualization system to monitor the fluid dynamics and thermal performance.
• Develop the thermofluid test rig from the cryogenic temperature to 200°C.
• Develop the model and simulation for CO2 collection.

Job Requirements:

• PhD degree in Mechanical or Aerospace Engineering or the related fields.
• 3-year research experience in heat transfer, energy, or cryogenic fluid related area.
• Expertise in engineering design and experimental skill.
• Knowledge in interfacial phenomena and gas-liquid phase chance.
• Publication track record including journal paper publication is as one reference.
• Proficiency in basics of engineering design, mechanical analysis and thermofluid software.
• Proficiency in English and good communication capabilities for Research Project Purpose.

We regret to inform that only shortlisted candidates will be notified.

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Join the laboratory of Dr Alexander Ludwig at the School of Biological Sciences. We are seeking a Research Fellow to contribute to a project focused on the functions of cell polarity proteins in epithelial lumen formation.

Key Responsibilities

• Design, conduct, analyse, and critically interpret cell and molecular biology experiments at a high scientific standard.
• Present and discuss data in weekly group meetings and at local and international conferences.
• Provide guidance and supervision to PhD and undergraduate students, fostering their growth and development within the laboratory setting.
• Preparing detailed reports and manuscripts for publication in esteemed scientific journals.

Job Requirements

• A PhD degree in Molecular and Cell Biology or related areas, with a focus on epithelial cell polarity, cell-cell junctions, and imaging.
• Experience in epithelial cell cultures, 3D cell culture models, protein-protein interaction analysis (IPs, pulldowns), and confocal and electron microscopy
• Strong written and verbal communication skills in English - essential for data analysis and communication with stakeholders
• Entry level candidates are welcome to apply.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Interested applicants are invited to apply directly at our NTU Career Portal.

We regret that only shortlisted candidates will be notified.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view https://www.ntu.edu.sg/erian

To support the research project titled:

• Technology Development of Thermal Management, Lifetime Assessment and Prognostics for Li-ion Battery Energy Storage System in Next-Generation Grid
• Design and Development of Compact Energy Storage System
• Design and Development of ESS coupled with solid state transformers

This job position is required for recruiting a highly educated and experienced researcher with experience to develop battery management system for lithium-ion battery packs in energy storage system application. It will also fulfil the objective of NTU in developing energy storage system and novel renewable energy technologies.

Key Responsibilities:

• Develop overall battery management scheme according to system performance requirement
• Design and develop software of battery management system
• Design and develop hardware and PCB layout of battery management system
• Design and develop state estimation algorithm of battery management system
• Design and develop balancing control strategy of battery management system
• Conduct simulation test and debug of developed software of battery management system
• Conduct simulation test, layout design, PCB design, manufacturing, and testing
• Conduct simulation test of the designed algorithm, balancing strategy.
• Responsible to prepare design progress document and final project report

Job Requirements:

• Masters degree in electronics, control, electrical, or similar
• Research or working background in lithium-ion battery product development and production is a must.
• Experience in technology development for lithium-ion battery management system is required.
• Candidate must be familiar with design requirements on control, state estimation, balancing of battery packs
• Familiar with software like Matlab/Simulink, Keil, CodeWarrior, Altium Designer.
• Understand development progress of battery management system product
• Self-motivated and takes initiative
• Independent and can work well with a team
• Organized and detail oriented
• Excellent verbal and written communication skills

We regret to inform that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We are a speech and language technology research group situated under CCDS, NTU. The group was established since 2007 and has since focused on machine learning and deep learning approaches in speech and language technologies. Our research interests include but not limited to Automatic Speech Recognition (ASR), Classification and Speech Understanding. The College of Computing & Data Science (CCDS) invites applications for the position of Senior Research Scientist.

Key Responsibilities:

• Lead the research and development of algorithms for speech recognition, diarization and speech enhancement.
• Plan and ensure timely delivery of project milestones and deliverables.
• To lead in the development of far-field speaker diarization and enhancement.
• To organize, document and transfer developed software package(s) to other team members and/or funding bodies.

Job Requirements:

• PhD in computer science/engineering or related fields.
• Strong expertise in speech technologies such as speaker diarization, speech enhancement, speaker overlapping detection, automatic speech recognition, and natural language processing and deep learning applications.
• Have experience in leading teams for speech research.
• Strong in the following programming languages and frameworks: Python, PyTorch.
• Experience in project management, delivery and customer support in the relevant research fields.

We regret that only shortlisted candidates will be notified.

Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

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

Welcome to the Multimodal Interaction & World Model team. Our mission is to solve the challenge of multimodal intelligence、virtual reality world interaction in AI. We conduct cutting-edge research on areas such as Foundations and applications of multimodal understanding models, Multimodal agent and inference, Unified models for generation and understanding, World Model. Our team is comprising experienced research scientists and engineers who are dedicated to developing models that boast human-level multimodal understanding and interaction capabilities. The team also aspires to advance the exploration and development of multimodal assistant products. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore and research multi-modal understanding, generative, machine learning, reinforcement learning, AIGC, computer vision, artificial intelligence and other cutting-edge technologies.

- Explore the basic model of large-scale/ultra-large-scale multi-modal understanding and generation interweaving, and carry out extreme system optimization; Data construction, instruction fine-tuning, preference alignment, model optimization; Improve the ability of data synthesis, scalable oversight, model reasoning and planning, build a comprehensive, objective and accurate evaluation system, and explore and improve the ability of large models.

- Explore and break through the advanced capabilities of multi-modal models and world models, including but not limited to multi-modal RAG, visual COT and Agent, and build a universal multi-modal Agent for GUI/ games and other virtual worlds.

- Use pre-training, simulation and other technologies to model various environments in the virtual/real world, provide the basic ability of multi-modal interactive exploration, promote application landing, and develop new technologies and new products with artificial intelligence technology as the core.

Qualifications

Minimum Qualifications:

- Bachelor degree or above, computer, electronics, mathematics and other related majors.

- Have in-depth research in one or more fields such as computer vision, multimodal, AIGC, machine learning, rendering generation, etc..

- Excellent analytical and problem solving skills; Ability to solve large model training and application problems; Ability to explore solutions independently.

- With good communication and collaboration skills, proactive work, able to harmoniously cooperate with the team to explore new technologies and promote technological progress.

Preferred Qualifications:

- With excellent basic algorithms, solid foundation of machine learning, familiar with CV, AIGC, NLP, RL, ML and other fields of technology, CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH or SIGGRAPH Asia and other top conferences/journals published papers are preferred.

- With excellent coding ability, proficient in C/C++ or Python programming language, ACM/ICPC, NOI/IOl, Top Coder, Kaggle and other competition winners preferred.

- In the fields of multimodal, large model, basic model, world model, RL, rendering generation, leading projects with too much influence is preferred.

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.

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

Brief Description

The Research and Programmes Executive (School Well-Being) will play a crucial role in driving the design, implementation, and evaluation of school well-being programmes and projects.

This role requires a dynamic individual with a passion for well-being research application and the ability to manage multiple projects simultaneously. You will work closely with internal teams, trainers, and clients to ensure the successful delivery of impact-driven programmes and projects.

Responsibilities

• Design impact-driven school well-being programmes or projects
• Implement school well-being programmes or projects, which includes but not limited to managing and training our trainers to deliver impact-drivenschool well-being programmes
• Evaluate the impact of school well-being programmes and projects, including preparing and presenting Impact Reports
• Drive innovation to improve the design, implementation, and evaluation of programmes and projects.

Requirements

• Bachelor’s degree in psychology
• Possess interest and knowledge in the science of well-being or positive psychology
• At least 1 year of experience in school programme design

Selection Process

Please take note that there will be at least 3 interviews if selected:

• 1st interview (Virtual) (30 mins) – A chat to get to know each other better
• 2nd interview (Physical) (3 hours) – A pre-interview task will be required to be completed before the interview. You will be proposing programmes and experiencing programme implementation
• 3rd interview (Physical) (1 hour) – You will explore your person-organisation fit

About Happiness Initiative

Happiness Initiative is a social enterprise dedicated to making well-being skills accessible to all. We focus on well-being research and translating it into practical applications through our programmes and products.

Website: https://happinessinitiative.sg

Instagram: https://instagram.com/happinessinitiative.sg/

The National Heart Research Institute Singapore, based at the National Heart Centre Singapore, is currently offering a job opportunity to work with our Clinician Scientist in the area of cardiac imaging. The applicant needs to have experience in computer programming and be comfortable working with large imaging datasets coupled with multi-omics. There will also be opportunities to work with magnetic resonance physicist in sequence programming.

Requirements

· Doctorate degree (MD or PhD) or Masters (MSc) in computer science or related

· Experience in image processing and analysis in cardiac MRI is preferred

· A team player and also able to work independently, demonstrating effective collaboration skills

Senior Research Associate, Analytics Services

Location: Science Park
Working Hours: Monday to Friday, 8 AM - 5 PM
Employment Type: Permanent / Contract
Salary Range: $3,660 to $4,600

Key Responsibilities:

• Perform analytical testing using advanced techniques such as HPLC, GC, MS, LC-MS/MS, and GC-MS/MS.
• Ensure accurate and precise data generation, adhering to established protocols and quality standards.
• Analyze and interpret data, preparing detailed reports and documentation.
• Maintain, calibrate, and troubleshoot analytical instruments.
• Collaborate with cross-functional teams to support research and development projects.
• Stay updated on advancements in analytical methods and technologies.

How to Apply: send your resume to: [email protected] or telegram @jocelynchan ASAP!

Jocelyn Chan| Consultant | Recruit Express Pte Ltd (Healthcare & Lifescience) Company EA Licence number : 99C4599 Personnel EA License: R1331820

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view https://www.ntu.edu.sg/mae/research.

The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Fellow to support the works in the Seatrium New Energy Laboratory. The work scope of the manpower is to maintain the safe operation with different engine fuels; design and conduct the fuel and engine tests; manage the ongoing projects in the lab; make the energy and emission analysis with numerical simulation; collaborate the details among NTU, Seatrium Ltd, and other partners; etc.

Key Responsibilities:

The Research Fellow will be in charge of operation and analysis for the project in Seatrium New Energy Laboratory under the School of Mechanical and Aerospace Engineering. The roles of this position include:

• Facilitate the fuel supply system update in the lab
• Monitor and operate the engine fuels including diesel, biodiesel, LNG, hydrogen, ammonia, etc.
• Design the fuel test in the marine engine and perform engine testing
• Measure engine emission and conducted the species analysis
• Model the engine performance and emission
• Support the operation of the ongoing projects
• Collaborate the work between NTU and industrial partners

Job Requirements:

• PhD degree in Mechanical or Aerospace Engineering or related field
• 3-year research experience in mechanical system and fuel system
• Expertise in engineering design and experimental scale
• Experience in numerical simulation for engine performance and emission
• Publication track record is as one reference.
• Proficiency in basics of engineering design, mechanical analysis and thermofluid software
• Proficiency in English and good communication capabilities for Research Project Purpose

We regret to inform that only shortlisted candidates will be notified.

• To perform activities during the in life and/or necropsy phase of experimental studies, in accordance with pertinent guidelines and standards.
• Full-time involvement in the practical conduct of studies, including in life operations and necropsy procedures (where applicable)
• To perform the planned daily work activities (e.g. animal husbandry, scientific procedures and necropsy).
• To check the plausibility and quality of generated raw data.
• To be familiar with and to uphold animal welfare standards in compliance with the NACLAR guidelines and other relevant standards, with regards to the use of animals in scientific research. To be responsible for the wellbeing of all animals in their care.
• To perform the scheduled endpoint measurements for studies, such as urine collection, blood collection & organ collection.

Requirements

• Min Diploma in any science or engineering courses
• Min 1 to 2 years of animal husbandry experience
• Exp in AAALAC or NACLAR guidelines.

1 year contract x 1

Perm x 1

Up to $3.5K

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

Brief Description

The Research and Programmes Executive (Workplace Well-Being) will play a crucial role in driving the design, implementation, and evaluation of workplace well-being programmes and projects.

This role requires a dynamic individual with a passion for well-being research application and the ability to manage multiple projects simultaneously. You will work closely with internal teams, trainers, and clients to ensure the successful delivery of impact-driven programmes and projects.

Responsibilities

• Design impact-driven workplace well-being programmes or projects
• Implement workplace well-being programmes or projects, which includes but not limited to managing and training our trainers to deliver impact-driven workplace well-being programmes
• Evaluate the impact of workplace well-being programmes and projects, including preparing and presenting Impact Reports
• Drive innovation to improve the design, implementation, and evaluation of programmes and projects

Requirements

• Bachelor’s degree in psychology
• Possess interest and knowledge in the science of well-being or positive psychology
• At least 1 year of experience in workplace well-being design, implementation, and evaluation

Selection Process

Please take note that there will be at least 3 interviews if selected:

• 1st interview (Virtual) (30 mins) – A chat to get to know each other better
• 2nd interview (Physical) (3 hours) – A pre-interview task will be required to be completed before the interview. You will be proposing programmes and experiencing programme implementation
• 3rd interview (Physical) (1 hour) – You will explore your person-organisation fit

About Happiness Initiative

Happiness Initiative is a social enterprise dedicated to making well-being skills accessible to all. We focus on well-being research and translating it into practical applications through our programmes and products.

Website: https://happinessinitiative.sg

Instagram: https://instagram.com/happinessinitiative.sg/

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

Principal Investigator: Associate Professor Catherine ONG, Department of Medicine

The Infectious Diseases Research Laboratory at the Department of Medicine, Yong Loo Lin School of Medicine is looking for highly motivated and well-qualified candidates for the post of Research Fellow to work on Murine models of Tuberculosis. The lab works on translational research i.e. spanning cellular, murine and human TB research. This position provides an excellent opportunity for persons looking to further experience in translational research including robust interactions with clinicians.

https://medicine.nus.edu.sg/medi/catonglab/index.html

https://discovery.nus.edu.sg/5460-catherine-w-m-ong

Main Duties and Responsibilities

The Research Fellow will design and execute experiments in M. tuberculosis infection of mice, processing of samples, and associated readouts including flow cytometry, immunohistochemistry, molecular biology including immunofluorescence. State-of-the art techniques include spatial transcriptomics and bioinformatics can be learnt and applied. Spatial transcriptomic work is also expected from human tissues. The person will lead in the day-to day running of experiments in the Biosafety Level 2 (BSL2) and BSL3 setting, and is expected to work independently, in coordination with other junior and senior team members in the laboratory and clinicians. Supervision of junior lab members such as undergraduates and postgraduate PhD students is expected. Work with live M. tuberculosis is expected in a BSL3 setting. BSL3 experience would be advantageous but not a requirement.

Qualifications

Applicants should have:

• A PhD degree in life science and skilled in handling murine models
• A minimum of 2 years of BSL2 experience with skills in molecular biology and immunohistochemistry/immunofluorescence
• Ability to help mentor and train junior staff members and students
• A proven track record of outstanding written, oral presentation and communication skills
• Excellent skills in project management
• Ability to work on grant proposals including writing, meeting with collaborators, and reviewing proposal opportunities

All interested applicants should send their job application interest, full CV with the cover letter and the reference letters of three referees with the referees’ contact details to the NUS Career Portal.

The Climate Transformation Programme – Cross Cutting Theme 1: Sustainable Societies is seeking to hire a Research Fellow at the School of Art, Design and Media for a one-year duration. The Research Fellow will work in an interdisciplinary and collaborative research environment, aiming to cultivate a critical multiplicity of voices, perspectives, knowledges, and skills from both within and outside academic realms in the formation of ‘Sustainable Societies’ that engage with questions of climate change.

Under the supervision of Professor Ute Meta Bauer, the successful candidate will be embedded within the research framework of Climates.Habitats.Environments., developed by Bauer, which bridges arts and cultural production, local and indigenous knowledge, and science to develop transdisciplinary solutions addressing and mitigating the climate crisis. The Research Fellow will be based at the NTU Centre for Contemporary Art Singapore.

Key Responsibilities

• Responsible for the managerial oversight of the project’s publishing and editorial aspects.
• Author research publications and contribute to the development of public or scholarly presentations related to the research project.
• Identify and author grants to further research projects and related programming, publications, workshops and conferences.
• Support the development of a transdisciplinary MA programme in cultural and environmental conservation and preservation.

Job Requirements

• PhD in humanities, cultural anthropology, art, architecture or design.
• Academic track record in transdisciplinary climate research, as well as in local and indigenous cultural practices, or in cultural and environmental conservation and preservation.
• Strong academic writing skills, preferably in English, with high literacy of cultural and environmental vocabularies for text submissions to peer-reviewed academic journals.
• Strong project management skills and experience with transdisciplinary academic publishing and presentation.

We regret to inform 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), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor based on Yb-Ba ions. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration with leading academic and industrial groups within and outside the country.

The team members will work to build hardware for the next generation of the ion trap quantum processor. This includes design and implementation of the modular and compact optical system for the laser beam modulation using acousto-optical and electro-optical modulators, delivery of the beams to the inside the vacuum chamber, and implementation of the diffraction limited optical system for ion imaging and addressing of the individual ions with the laser beams.

The successful candidate will be involved in all stages of the development cycle: collaborate with team members to define technical requirements, design, test and integrate the optical systems in the final product.

Job Requirements

We are looking for several optical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Ph.D. in optical engineering, physics or related areas;
• At least 1-2 years of experience in optical design, implementation and testing of the optical or laser systems is preferred.
• Experience in optical design, familiar with optical (for example, Zemax or OSLO) and mechanical (Autodesk or Solidwork) CAD software, able to assemble and test complex optical systems.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on optimizing the processing of multi-modal input (especially a combination of event (neuromorphic) vision sensors and RGB camera sensors) for visual grounding tasks, and for also embedding such optimizations in early prototypes of AI-based systems for text+vision tutoring support (e.g., for geometry learning).

Successful candidate will be part of an active research team led by Prof Archan Misra from School of Computing and Information Systems, Singapore Management University.

The candidate will have the following key duties:

• Develop and implement new algorithms for efficient processing of hybrid RGB & event vision streams to extract semantically relevant sensory data for visual grounding tasks.
• Develop and implement optimizations to DNN inferencing pipelines, including the integration of Spiking Neural Network (SNN) models, to reduce latency of visual grounding AI models without adversely affecting accuracy.
• Conduct experimental studies (including generation of training data) to quantify the resulting system performance and generate appropriate analytical artifacts (e.g., graphs, reports) to document such performance
• Support the research team to produce high-quality research publications

• Minimum Bachelor degree in Computer Science, Computer Engineering, or closely related disciplines from a reputable institution of higher learning
• 2+ years of relevant research experience in developing and implementing AI models for advanced visual perception tasks
• Coding experience with DNN and vision AI frameworks, such as pyTorch, TensorFlow and/or OpenCV, is essential.
• Project-level experience with vision DNNs and SNNs (Spiking Neural Networks), especially involving data generated by event-based vision (aka neuromorphic) sensors, is essential
• Ability to work cooperatively as part of a small, agile academic research team is essential
• High quality publications in academic venues related to AI for vision and low-power embedded systems is strongly desired

#LI-JN2