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 #6 for 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.

Key Responsibilities:

• The candidate will work for the project to conduct the research on development of analysis framework on how to build up a generic framework to use learning-assisted approach to solve transportation related problems:
• Develop mathematical modeling framework to find the optimal operation strategy for public transport services with autonomous vehicles
• Conduct computer programming to verify the efficiency of the designed solution algorithms
• Conduct survey to better understand the travelers’ perception towards the new technology based public transport services
• Analyze data acquired from the field survey
• Develop mathematical models to predict passenger demand for public transport services with autonomous vehicles

Job Requirements:

• Preferably PhD in computer engineering, transportation engineering or related field.
• Expertise in computer programming
• Knowledge in urban transportation studies, traffic flow theory, operation research
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• Excellent teamwork and verbal, written communication skills
• Independent, highly analytical, proactive and a team player
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new experimental methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description

As a (Senior) Research Engineer in our Robotics & Automation R&D team, you will play a role in conceptualizing, designing, and implementing intelligent robotics solutions that solve challenges across various industries. Leveraging your expertise in robotics, computer vision, AI, and ROS, etc., you will contribute to the development of next-generation robotic platforms that exhibit advanced perception, cognition, and decision-making capabilities. As we continue to expand our horizons, we are seeking a talented Research Engineer to join our dynamic team.

Responsibilities:

• Algorithm Development: Design and implement algorithms for robot perception, 2D/3D scene understanding, localization and planning to improve the intelligence of robot for addressing the real-world tasks.
• AI and Learning: Develop, integrate, and deploy advance AI models for various robot tasks such as 2D/3D detection, self-learning, to enhance autonomy for robot tasks such as pick and place, assembly, etc.
• Robot Planning and Control: Develop robot motion/trajectory planning and control solution using tools such as ROS1/ROS2, MoveIt, Nvidia Issac, etc for robot simulation and control.
• Prototype Development: Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or Master’s degree holder in Engineering, Robotics, Automation, Computer or related fields.
• Strong programming skills in languages such as Python, C++, and familiarity with software development best practices.
• Experience in deep learning frameworks (e.g., TensorFlow, PyTorch) and experience with Robot Operation System (ROS).
• Enthusiasm for learning and adapting to new technologies and areas, with a proactive approach to skill development.

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

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 job is to conduct research on the evaluation of pre-trained vision-language models' video understanding capabilities and the utilization of these pre-trained models for video question answering.

Candidate's core responsibilities are:

• Collect data through web crawling and/or crowdsourcing
• Implement baseline methods based on previous research papers
• Implement new methods to improve the performance of large language models
• Conduct experiments to empirically evaluate different methods
• Contribute to the preparation of manuscripts for publication

• Minimum PhD degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 3 years of relevant research experience in video processing, analysis, and research
• Excellent knowledge in large-scale video processing and search
• Good knowledge and experience in system development and engineering
• Good skill in computer programming
• Good knowledge in dataset curation and preparation of dataset for deep learning
• Self-motivated individual who can work independently as well as collaboratively in a team to research and engineer challenging problems

#LI-JN2

A Research Associate (RA) position is available immediately. The successful applicant will join an expanding team to work on projects in the field of Chronic Disease Management and Psychosocial Rehabilitation. He/She will be working with an interdisciplinary research team based at the Lee Kong Chiang School of Medicine NTU, and the primary research involves an intervention study that develops and test the efficacy of a holistic health coaching programme to support individuals with high risk of cardiovascular disease. Successful candidate is expected to work closely with professionals in the field of medicine and psychological sciences, as well as with clinical population groups.

RA is expected to plan, organize, implement and manage research projects, in collaboration with principal investigators. The specific roles include project management and coordination, liaison with community collaborators, programme and curriculum development, programme delivery, professional training, literature review, supporting data collection and research implementation, data transcription and data analysis, compile findings and drafting of research reports, as well as co-author academic journal publications with project principal investigators. Specific requirement include:

• Possesses a Master’s Degree in psychology, counselling, social work, health science or related fields from a reputable university
• Possesses professional training in health and wellness coaching
• Must be fluent in Spoken and Written English and Mandarin
• Demonstrate excellent inter-personal communication skills
• Strong experience and proficiency in mixed methods research
• Competent in MS Office, SPSS, NVivo and Qualtrics
• A team player with the ability to work independently in a multi-cultural environment
• Two-Year contact with the possibility of renewal

Key Responsibilities:

Coordination and Implementation

• Manage a coordinate programme logistics, including scheduling coaching sessions, ensuring smooth and efficient operations, acting as key liaison with Community Partners
• Ad hoc support in recruitment and enrollment of eligible individuals into the programme
• Provide ongoing health coaching, support, and information to programme participants
• Support the design of a CVD-specific health coaching programme and training curriculum
• Delivery CVD-specific health coaching and training sessions

Documentation and Reporting

• Maintain accurate and detailed records of programme activities and progress towards program goals
• Prepare regular progress reports and presentations for stakeholders and funding partners
• Ad-hoc research project administrative support

Monitoring and Evaluation

• Support data collection to assess the impact and effectiveness of the programme
• Manage and oversee data analysis
• Engage in data transcription where appropriate
• Writing of research reports, inclusive of literature review and journal publications

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a full-time (42 hours per week) Research Fellow for 36 months appointment to commence in Feb/Mar 2025 or as soon as possible.

The project is to conduct research on how the acoustic environment of a room affects and facilitates teaching pedagogy. The focus will be on optimizing architectural design to improve speech intelligibility. The study will also investigate sound reinforcement systems to enhance the speech intelligibility.

The proposed research project includes several actual social science, architectural and engineering difficulties, from building design to the integration of technologies, human perception and material science. The research fellow is responsible for data analysis, laboratory-testing and field-testing within the project period

Qualifications

Professional requirements:

• PhD (or equivalent) in acoustics (preferred specialisation: Architectural acoustics) or related discipline.
• Essential are demonstrated knowledge related to acoustic modelling, signal processing, and speech Intelligibility.
• Essential are demonstrated excellent data analytic skills, ideally with machine learning.
• Essential is the ability to design and run listening experiments.

Other general requirements:

• Essential is a demonstrated ability to undertake high quality academic research with limited supervision.
• Essential are outstanding academic writing skills, as demonstrated by a strong track record of publications relative to opportunity.
• Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
• Evidence of highly developed interpersonal skills.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This postdoctoral position is focused on the development of a novel 3D-printed bone implant utilizing natural. The goal is to create a bone substitute that can be customized to patient-specific anatomy and effectively integrate with native bone tissue. The successful candidate will be responsible for leading research activities in material formulation, 3D printing process optimization, and in vitro/in vivo validation of the implant prototype. This is a 1-year Research Fellow position with the possibility of extension.

Qualifications

• Ph.D. in biomedical engineering, mechanical engineering, materials science, or a related field

• Expertise in biomaterial design, 3D printing technologies, and tissue engineering

• Demonstrated experience in material characterization and in vitro cell culture

• Strong publication record

• Excellent English written and oral communication skills

• Team player, able to work collaboratively in a team environment

Job Description:

• To lead, coordinate and work with cross functional teams such as tools suppliers, equipment engineers, process engineers, facility engineers, environment health and safety officer, contractors for tool placement plan.
• To participate in the evaluation, planning and supervision of projects including testing and commissioning.
• To provide support for new chemical and gas evaluations. Plan and execute specialty gas system release/unhooking up.
• To carry out overall cleanroom capacity modelling and planning, work with manufacturing, process and equipment engineering to ensure requirement is met.
• To review capacity model, understanding the constraints and re-lay the equipment layout in the cleanroom to maximise the cleanroom space usage.
• Management of contractor?s services to ensure fulfilment of contracts terms and agreements.
• Identify opportunities for innovation that are relevant and appropriate to the company business objectives
• To review capital and cashflow requirements, driving activities to improve capital efficiency and reduce cost.

Requirements:

• Degree, Diploma in Engineering (Chemical, Mechanical, Electrical/Electronic, Building Management) or equivalent.
• Degree with 3 years and Diploma with 5 years related experience in
• Manufacturing of Semiconductor, Wafer Fab.
• Able to work in fast-paced environment, proactive and able to work independently with minimum supervision, self-driven and self-motivate to get job done.
• Able to work in a manufacturing, production, cleanroom environment.
• Technical knowledge in Facilities Support System such as ACMV, HVAC, Scrubber, Electrical, Compressed Dry Air, Nitrogen, Hydrogen, Process Cooling Water, Ultra-Pure Warter, Chilled Water, Wastewater Treatment etc.
• Possess Project Management skills.
• Strong understanding of building codes, HSE laws, regulations and best practices and the ability to interpret/translate these into compliance activities
• Proficient in utilizing Excel, Power Point, Project, Word & Visio, AutoCAD.

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

Job Description

As a (Senior) Research Engineer in our Robotics & Automation R&D team, you will play a role in conceptualizing, designing, and implementing intelligent robotics solutions that solve challenges across various industries. Leveraging your expertise in robotics, computer vision, AI, and ROS, etc., you will contribute to the development of next-generation robotic platforms that exhibit advanced perception, cognition, and decision-making capabilities. As we continue to expand our horizons, we are seeking a talented Research Engineer to join our dynamic team.

Responsibilities:

• Algorithm Development: Design and implement algorithms for robot perception, 2D/3D scene understanding, localization and planning to improve the intelligence of robot for addressing the real-world tasks.
• AI and Learning: Develop, integrate, and deploy advance AI models for various robot tasks such as 2D/3D detection, self-learning, to enhance autonomy for robot tasks such as pick and place, assembly, etc.
• Robot Planning and Control: Develop robot motion/trajectory planning and control solution using tools such as ROS1/ROS2, MoveIt, Nvidia Issac, etc for robot simulation and control.
• Prototype Development: Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or Master’s degree holder in Engineering, Robotics, Automation, Computer or related fields.
• Strong programming skills in languages such as Python, C++, and familiarity with software development best practices.
• Experience in deep learning frameworks (e.g., TensorFlow, PyTorch) and experience with Robot Operation System (ROS).
• Enthusiasm for learning and adapting to new technologies and areas, with a proactive approach to skill development.

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. Somin Park on next-generation optoelectronics under a project on start-up grant.

Our group is looking for candidates with a background in material synthesis (organic synthesis, polymer chemistry), photoelectron spectroscopy, photophysical characterization, or practical experience in optoelectronic applications. The ideal candidate will have the opportunity to develop and lead their own research projects while collaborating with interdisciplinary teams worldwide and providing mentorship to fellow team members.

The main responsibilities of the position include:

• Design and optimize materials for various optoelectronic applications
• Conduct electrical photophysical characterizations
• Mentor and supervise graduate students and research assistants working on related projects

Qualifications:

- A PhD in Chemistry, Physics, Materials Science and Engineering, Chemical Engineering, or related fields
- Strong publication record in peer-reviewed journals

Skills:
- Material design, characterizations
- Good communication skills, both written and verbal in English

Experience:
- Material synthesis, advanced characterizations, and practical experience in optoelectronic applications

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

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

Research Engineer position in the Department of Materials Science and Engineering at National University of Singapore (NUS).

With a strong focus on industrial projects, we are developing our exciting technologies beyond the lab scale. We are seeking a talented and experienced individual with expertise in material chemistry and chemical engineering to join us.

As a Research Engineer, you will contribute to industry project focusing on scaling up our electro-metallurgical battery recycling technology from lab to pilot scale. Your major focus will be developing a process to synthesize precursor materials (pCAM) with extracted metals from spent battery materials.

• Lead pCAM synthesis processes at the R&D and pilot scale by working in collaboration with engineering team.
• Able to establish process design and synthesis rules to obtain precursors with optimal composition, interfacial properties, crystal structure, particle size, morphology, and electrochemical characteristics.

Qualifications

1. Bachelor or Master in Materials science and engineering, Chemical engineering, Material chemistry, or any relevant field.
2. Minimum of 2 yrs experience in MHP, pCAM synthesis (precipitation, crystallization).
3. Prior experience in process development and piloting new technologies is highly preferred.
4. Experience with material characterization techniques like SEM/EDS, ICP, XRD, FTIR.
5. Strong analytical skills and experience in data analysis and interpretation.
6. Highly motivated, detail-oriented, and able to work independently as well as part of a team in a fast-paced academic environment

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

One postdoc position is available at the Surface and Interface Lab in Prof. CHEN WEI’s group, National University of Singapore. The successful candidate will work with Prof CHEN Wei on Interface Engineering for artificial neuromorphic electronics under a project on “Interface Controlled 2D Devices and Solid-State Batteries".

This project aims to advance the field of photon-modulated organic electrochemical transistors (OECTs), with a particular focus on photon-modulated electrochemical doping systems for flexible OECTs. This research is critical for advancing OECT-based circuits in bioelectronics, wearable electronics, and artificial neuromorphic electronics (e.g., optoelectronic synapses). A postdoctoral researcher is sought to contribute to this cutting-edge research, which lies at the intersection of organic semiconductors, materials science, and electrochemistry. The successful candidate will engage in the synthesis of channel-layer materials, the investigation of photoresponsive mechanisms and interfacial electrochemical processes, as well as the development of flexible organic optoelectronic synapses for applications in physiological signal monitoring and related fields.

Qualifications / Discipline:

- The candidates shall obtain PhD or submit PhD thesis in Chemistry or Materials in a research intensive and renowned University or Research Institute. The candidate shall publish a few papers on top journals.

Skills:
- Excellent English writing and communication skill, team management skill (help PI to lead a small research team with 1-2 master students).
- Experience in synthesizing organic semiconductor materials and characterizing OECTs, complemented by a strong background in structural characterization techniques such as TEM, SEM, AFM, XRD, UV-Vis, and GC-MS.
- Proficiency in surface science techniques, including XPS, UPS, and NAP XPS, is required.
- Practical experience with electrochemical analysis techniques is necessary, along with the ability to proficiently operate a range of electrical testing equipment, including semiconductor parameter analyzers, cyclic voltammetry devices, and probe stations.
- Proficiency in EPR spectroscopy, with a focus on analyzing organic radicals involved in both electrochemical and photochemical processes. Additionally, experience in studying ions and their behavior in these reactions is required.
- A strong background in computational chemistry, including hands-on experience with density functional theory (DFT) calculations, and the capability to independently design and perform related tasks.

Experience:
- Proficiency in the fabrication processes of organic electrochemical transistors (OECTs) is essential, along with a comprehensive understanding of solid-state electrolytes, such as ionic liquid gels and hydrogels.
- Candidates should also have in-depth knowledge of organic radicals and their behavior in electrochemical environments, as well as extensive research experience in charge transfer mechanisms between organic molecules, with a focus on their roles in electrochemical and optoelectronic systems.

Job Description

-Contribute to high-quality research and development work in TCOMS laboratory through physical experiments including:

o design of scaled physical test models, such as maritime vessels, offshore rigs, marine renewable platforms, and aquaculture systems for testing in TCOMS Ocean Basin.

o generation of detailed design, production, assembly, and as-built drawings of test models.

o Work with a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.

o enhance the measurement of models? behaviour and response by use of appropriate sensors.

o document design processes, methodologies, and results.

o contribute to process enhancements for improved efficiency of research work.

-Perform research in the following areas:

o Offshore hydrodynamics

o Coastal Protection

o Loads, motions and response analysis of Marine & Offshore platforms and floating structures

o Fluid-structure interactions

· Collaborate with internal teams, affiliated research institutes and other relevant stakeholders in proposal preparation and submission.

-Any other duties as assigned by supervisor.

Job Requirements

-Bachelor's/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Offshore Engineering, or other related disciplines.

-Preferably 3 years of relevant research/industry experience with competent knowledge in some of the following areas:

o Offshore engineering, marine engineering, hydrodynamics, naval architecture.

-Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

o Programming codes such as Python, MATLAB, or equivalent.

o StarCCM+, OpenFOAM

-Model experiments in wave flumes, wave tank or ocean basin.

-Good interpersonal and communications skills.

-Ability to adapt and work effectively as members of a team.

-Good command of written and spoken language.

-Resourceful and self-driven with a high degree of professional integrity.

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.

Responsibilities:

• Conduct cutting-edge research and development in speech/audio foundation models.
• Research, design, develop, and evaluate generative models.
• Conduct research to integrate Large Language Modeling into speech and audio generation (Neural Tokenizers, Large Language Modeling, etc.).
• Identify key research areas and contribute to innovative speech/audio models.
• Design and curate large-scale, high-quality datasets with multi-team efforts.

Qualifications:

• Major in computer science, mathematics, engineering, a related field, or equivalent professional experience.
• 2+ years of internship or full-time experience in one or more areas of machine learning and deep learning, including but not limited to:Speech/Vocal generation (including text-to-speech, singing-voice-synthesis, prosody transfer, etc.)
  Audio generation (including text-to-music, etc.)
  Large scale speech/audio self-supervised representation learning and foundation models
  Large Language Model pre-training and fine-tuning
• Deep knowledge of deep learning and generative models (Diffusion, Flow Matching, AR Transformer, Mamba, VAE, GAN, etc.).
• Self-driven, innovative, collaborative, with strong communication and presentation skills.

Preferred Qualifications:

• Ability to work collaboratively in fast-paced, startup environment.
• Strong publications in top-tier ML/Speech conferences/journals (e.g., NeurIPS, ICML, ICLR, ICASSP, INTERSPEECH).
• Deep understanding of Large Language Models.
• Familiarity with different variants of diffusion models, such as Flow matching, DDIM, etc.
• Familiarity with large-scale distributed training.
• Knowledge of engineering principles and best practices.
• High proficiency in algorithms and programming; strong coding skills in Python.

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 motivated and skilled Research Fellow to contribute to cutting-edge research in the field of phage biology, focusing on bacteria from the human microbiome under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE). The candidate will lead experimental phage projects, design and execute research strategies, and play a pivotal role in advancing the understanding of bacteriophage dynamics in human and environmental microbiomes.

Key Responsibilities:

• Lead research projects focusing on phages targeting bacteria within the human microbiome.
• Develop, implement, and manage experimental plans under the guidance of the Principal Investigator.
• Conduct molecular microbiology experiments, analyze data, and troubleshoot experimental issues.
• Prepare progress reports, present findings in lab meetings, and contribute to research discussions.
• Write, edit, and submit high-quality manuscripts for peer-reviewed publication.

Qualifications

Education: Ph.D. in Molecular Microbiology, Microbial Ecology, or a closely related field, with a strong emphasis on phage research.

Technical Expertise:

• Hands-on experience in phage research, including phenotypic analysis, sequencing, and genomic studies.
• Proficiency in molecular microbiology techniques, such as DNA/RNA extraction, PCR, cloning, and bacterial culture.

Research Skills:

• Familiarity with experimental evolution studies and genomic taxonomy.
• Experience with bioinformatics tools for sequencing data analysis is an advantage.

Professional Attributes:

• Highly organized, detail-oriented, and capable of managing multiple projects.
• Demonstrates independent judgment, strong problem-solving skills, and the ability to deliver quality work within tight deadlines.
• Excellent teamwork and interpersonal skills, with the ability to collaborate effectively in a multidisciplinary research environment.

Role Overview

Kapronasia, an Atlas Technologies Group company, is seeking a Junior Research Analyst to join our Singapore team. This is a full-time, on-site role that offers the opportunity to contribute to content development within the finance and FinTech sectors.

The successful candidate will play a pivotal role in shaping thought leadership initiatives and delivering comprehensive insights across various topics, including banking, payments, and capital markets. The role involves collaboration with a wide network of industry leaders and clients spanning Asia Pacific.

This position is ideal for a driven individual looking to influence key decision-makers and provide actionable insights in a fast-evolving industry.

Responsibilities

• Suggest relevant and impactful topics for white papers, blogs, and research briefs that align with client messaging and strategic needs. Develop detailed outlines and coordinate kickoff discussions with clients to scope project requirements.
• Conduct advanced quantitative and qualitative research to analyze trends in the financial services sector, delivering data-driven insights and actionable recommendations.
• Author well-structured, analytically rich reports and content that provide strategic insights, ensuring alignment with client goals and messaging.
• Manage client interactions and reviews to ensure project success.

Job Qualifications

• University degree in Business, Finance, Economics, or other relevant disciplines.
• 1-2 years of content marketing/thought leadership experience, with a proven track record of delivering high-impact research projects.
• Knowledge of the FinTech and financial services industry
• Highly analytical mindset
• Strong writing skills in English
• Proficiency in Microsoft Office, including Word and Excel

About You

You are an ambitious Junior Research Analyst with 1-2 years of experience in the FinTech and financial services sector or a related field. You have demonstrated the ability to conduct thorough research and produce well-written content, including blogs, research briefs, and other client-facing materials.

As a proactive team member, you excel in collaborative environments where you can contribute to projects and learn from experienced colleagues. Your strong analytical skills allow you to uncover meaningful insights and support the development of actionable recommendations that align with client needs and objectives.

You are eager to build your expertise by engaging with clients and contributing to the success of project deliverables. Your excellent writing and communication skills enable you to clearly present findings and ideas. Committed to continuous learning and professional growth, you are excited to be a part of Kapronasia's team, developing your skills and advancing your career in a dynamic and innovative setting.

Background on Kapronasia and Atlas Technologies

Kapronasia is a company of the Atlas Technologies Group, headquartered in Tokyo and listed on the Tokyo Stock Exchange. Led by CEO Koji Yamamoto, Atlas Technologies is a leading provider of consulting and project execution support services in the FinTech sector in Japan and overseas. As the strategy consulting arm of Atlas Technologies based in Singapore, Kapronasia is a leading boutique consultancy that supports clients through a combination of strategy advisory, market research and sales enablement. Kapronasia’s clients include recognized brands across financial services, FinTech and the broader technology sector.

Application Process

To apply, please send an updated copy of your CV to [email protected], along with a cover letter detailing your background and interest in this role with Kapronasia. Selected applicants will be contacted for interviews, where they will be asked to prepare a short writing sample.

Role Overview

Kapronasia, an Atlas Technologies Group company, is seeking a Senior Research Analyst to join our Singapore team. This is a full-time, on-site role that offers the opportunity to contribute to content development within the finance and FinTech sectors.

The successful candidate will play a pivotal role in shaping thought leadership initiatives and delivering comprehensive insights across various topics, including banking, payments, and capital markets. The role involves collaboration with a wide network of industry leaders and clients spanning Asia Pacific.

This position is ideal for a driven individual looking to influence key decision-makers and provide actionable insights in a fast-evolving industry.

Responsibilities

• Suggest relevant and impactful topics for white papers, blogs, and research briefs that align with client messaging and strategic needs. Develop detailed outlines and coordinate kickoff discussions with clients to scope project requirements.
• Conduct advanced quantitative and qualitative research to analyze trends in the financial services sector, delivering data-driven insights and actionable recommendations.
• Author well-structured, analytically rich reports and content that provide strategic insights, ensuring alignment with client goals and messaging.
• Manage client interactions and reviews to ensure project success.
• Mentor junior research analysts, fostering a culture of collaboration and innovation while ensuring high-quality deliverables that meet or exceed client expectations.

Job Qualifications

• University degree in Business, Finance, Economics, or other relevant disciplines.
• Minimum 5 years of content marketing/thought leadership experience, with a proven track record of delivering high-impact research projects.
• Deep knowledge of the FinTech and financial services industry
• Highly analytical mindset
• Strong writing skills in English
• Proficiency in Microsoft Office, including Word and Excel

About you

You are an accomplished Senior Research Analyst with 6-8 years of experience in the FinTech and financial services sector. You have a strong track record of delivering high-quality research and producing insightful, well-written content, including white papers, blogs, and industry reports.

With a proven ability to work independently, you excel in small team environments where you can take the initiative, drive projects forward, and manage complex assignments from inception to completion. Your exceptional research and analytical skills enable you to uncover meaningful insights and develop actionable recommendations that address client needs and objectives.

You thrive on building and maintaining client relationships, ensuring effective collaboration throughout the project lifecycle. As a skilled mentor, you enjoy guiding junior team members and fostering a supportive, innovative team environment. Your excellent writing skills allow you to communicate complex ideas with clarity, both in written content and during client discussions. Dedicated to continuous learning and professional development, you are eager to contribute to Kapronasia's success while advancing your career in a fast-paced and innovative setting.

Background on Kapronasia and Atlas Technologies

Kapronasia is a company of the Atlas Technologies Group, headquartered in Tokyo and listed on the Tokyo Stock Exchange. Led by CEO Koji Yamamoto, Atlas Technologies is a leading provider of consulting and project execution support services in the FinTech sector in Japan and overseas. As the strategy consulting arm of Atlas Technologies based in Singapore, Kapronasia is a leading boutique consultancy that supports clients through a combination of strategy advisory, market research and sales enablement. Kapronasia’s clients include recognized brands across financial services, FinTech and the broader technology sector.

Application Process

To apply, please send an updated copy of your CV to [email protected], along with a cover letter detailing your background and interest in this role with Kapronasia. Selected applicants will be contacted for interviews, where they will be asked to prepare a short writing sample.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.

With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

LUMINOUS! Centre of Excellence for Semiconductor Lighting and Displays at NTU Singapore’s School of Electrical and Electronic Engineering (EEE) is a leading research hub advancing semiconductor lighting and display technologies. The center focuses on high-efficiency LED lighting, flexible displays, and advanced optoelectronic devices, while pioneering materials science and nanotechnology. Equipped with state-of-the-art facilities, it collaborates with industry, academia, and government to translate research into practical innovations, emphasizing energy-efficient lighting and materials. LUMINOUS! excels in fabricating devices using high-quality semiconductor nanocrystals, including II-VI, III-V, and perovskites, driving progress in the field.

This Research Fellow position is dedicated to advancing innovative research in the development of extreme ultraviolet (EUV) light sources, with a primary focus on the growth, characterization, and optimization of advanced multilayer thin films. The Research Fellow will oversee all cleanroom activities associated with the project and ensure the successful delivery of project objectives. This role directly supports NTU's mission to drive technological innovation and uphold academic excellence.

Key Responsibilities:

• Lead research on the growth and characterization of advanced multilayer thin films using techniques like sputtering, e-beam, CVD, and ALD.
• Fabricate various nanostructures and conduct field emission experiments.
• Perform comprehensive characterizations using SEM, EDS, TEM, AFM, XPS, and other advanced tools.
• Analyze experimental results and publish findings in top-tier scientific journals.
• Manage project deliverables, timelines, and reports.
• Mentor PhD students and junior researchers, supporting their development in research methodologies and project execution.

Job Requirements:

• PhD in Electrical and Electronic Engineering, Physics, Materials Science or a closely related field.
• Extensive cleanroom experience is essential.
• Strong expertise in thin-film growth, semiconductor fabrication, and advanced thin-film characterization, with proficiency in techniques such as SEM, EDS, TEM, AFM, XPS, surface profiling, etc.
• Strong understanding of high vacuum systems and high-voltage operations and cavity development.
• A robust publication record in high-impact journals is highly desirable.
• Excellent written and verbal communication skills.

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

http://www.eee.ntu.edu.sg is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With more than 130 faculty members and an enrolment of more than 4,000, of which close to 1,000 are graduate students, it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

For more details, please view http://www.eee.ntu.edu.sg.

We are looking for a research fellow to work on development of silicon composite anode for lithium-ion batteries. The role will focus on deposition of a-Si and characterization of pristine and lithiated Si anode as well as the numerical analysis of its mechanical behavior.

Key Responsibilities:

• Deposition and synthesis of nanomaterials
• Characterization of materials
• Electrochemical cell fabrication and its evaluation
• Writing report to meet requirement of the project
• Communication with funding agency including regular meeting

Job Requirements:

• Minimum PhD degree in Electrical Engineering or related field.
• At least 4 years of relevant experiences in similar role / technical hands-on experience in specific scope
• Familiarity with required scope
• Good written and oral communication skills
• Proficiency in hard skills / job-specific abilities acquired through training e.g. specific programming languages, numeric and analytical skill
• Competent in soft skills / general personality traits e.g. information visualization, interaction design
• Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)

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

GEMS Research Programme Manager (2 years' Contract role)

The SGX Research Team is looking for a Programme Manager who will champion efforts and provide overall support to run an industry-wide research programme grant scheme – Research Grant under the Grant for Equity Market Singapore Scheme (GEMS). This is aimed at scaling up research coverage of mid/small caps listed on SGX.

In addition to running the administration of the grant scheme, the individual is also expected to drive distribution of content output generated from the scheme and support in activities and projects of the broader SGX Research & FinLit Team. The Research & FinLit team in the Equities unit is responsible for research content generation on the Singapore equities market, investor education and outreach initiatives/activities.

Key Responsibilities

• Admission and Monitoring of Programme

o Maintain a registry of applicants/participating FIs/research platforms who have signed up for the programme. Ongoing monitoring of produced output and verifying against respective programme KPI requirements

o Manage documentation and contractual agreements for participating FIs, research platforms and candidates on the programme mechanics/KPIs

o Applicant on-boarding, establish mentorship scheme with senior analysts

o General administration and paperwork

• Content

o Curate and engage a list of mid/small cap stocks to be covered as part of programme KPI/output and allocations to the FIs/analysts

o Throughput monitoring (programme KPI requirements)

o Collaborate with independent research platforms on administration matters and content quality management

o Co-ordinate and commission industry/sector reports with third-party research firms

• Distribution

o Source and establish new distribution networks/channels for distribution of research reports

o Manage a dedicated central depository and distribute research reports from the programme and SGX Research (via website portals, institutional and retail distribution channels, etc.)

o Organise targeted research seminars, conferences, events for investors

o Develop ideas and run publicity and marketing of programme (e.g. tie-ups with tertiary institutes, media etc.)

o Conceptualize and drive campaigns to promote the programme by working with both internal and external stakeholders

Requirements

• Previous experience of programme management, driving promotional campaigns and event organizing/management, ideation/marketing and content distribution, with prior exposure to the financial industry
• Strong written/spoken English communication skills and the ability to build and establish relationships quickly
• Strong sense of commitment, ability to show initiative, resourcefulness and work independently; willingness to take on a variety of roles and responsibilities and learn new skills
• Detailed and solutions oriented - pragmatic and innovative; thorough with acute attention to detail
• Outgoing personality and comfortable in engaging a diverse cross section of stakeholders
• Team player, goal and outcome orientated. Comfortable working with people at all levels – internal and external