Relocating to Norway, this is full time role .

Our client is a start-up developing solutions to bring small-scale hydropower plants into the future, turning them into flexibility resources for the energy market.

By creating intelligent control systems to coordinate hydro power production and utilise supercapacitors, it enabling these resources to operate in the frequency market and help stabilise the power grid.

You’ll join a team backed by industrial investors and public investment funds.

working along with a dynamic work environment with high skilled scientists from all over the world.

You will involve in building pioneering technology for energy optimization and stabilization of the power grid through advanced software.

Combining physics-based and data-driven modeling with state-of-the-art control and machine learning methods to build cutting edge autonomous solutions.

You’ll dive into complex R&D tasks like:

Modeling the dynamics of hydro power systems and power grid to serve as digital twins for simulation, estimation and control

Developing learning algorithms that fit models to real-world data.

Using models to develop advanced autonomous control solutions.

Creating predictive solutions to optimise operation and detect problems.

Qualifications

You have an engineering degree (M.Sc./Ph.D.) within cybernetics engineering, dynamical systems, optimization, estimation, or control.

You’re fluent in mathematical modeling, coding, automation, control systems, and/or machine learning.

Your expertise lies in fields like parameter estimation, machine learning/AI, nonlinear systems, Kalman filters, Bayesian methods, and adaptive control design.

Knowledge of hydro power, power grid or power electronics technologies are an avantage, but not a requirement.

If you specialise in one or more of these areas, you’ll be a great fit!

Personal Traits We Value:

Someone who are structured and good at planning.

You can break down complex problems into concrete, manageable tasks.

You combine theoretical knowledge with practical problem-solving.

You love team collaboration but also enjoy diving deep into technical challenges.

Motivated by solving the unsolvable, and thrive in a fast-paced, results-oriented environment.

Responsibilities:

• You will be exposed to different social research domains and streams of research methodologies
• Manage client-focused research projects, conduct analysis, and present insights in a visual and impactful manner. At the same time, you will be involved in scripting, sampling, and data processing of research studies.
• Assist in developing new methods of data collection using various software and other data related tools assigned to you at intervals.
• Account Management: Manage client queries, expectations and relationships to ensure client satisfaction
• Design, plan, execute, and manage research projects suitable for client needs
• Scripting of survey questionnaires with logic implementation
• Processing of research data using software with syntaxes and codes
• Monitor quantitative fieldwork and adhering to project schedules / deadlines
• Quality check and audit survey implementation to ensure accuracy of results
• Perform coding of open-ended (free text response) answers where required
• Create highly actionable and digestible reports in PowerPoint
• Present results of study confidently to external clients
• Drive the exploration of new research methodologies and data collection software
• Any other tasks as may be assigned by Head of Department

Requirements

• Minimum Bachelor’s degree (in Psychology / Social Sciences / Mathematics / Statistics / Business / Engineering / numerical fields)
• Strong interest in market research and willing to learn
• Versatile individual with a keen interest to pick up complimentary research skillsets
• Able to work with ambiguity and perform under pressure
• Strong quantitative and data analytical skills required
• Strong communication skills, both written and interpersonal
• Competent in MS Office, with some experience in data collection and/or statistical software e.g. SPSS (must), R, STATA etc. will be plus

Interested candidates, do submit your resume in MSWord to [email protected] or contact 62251232

• 2 year contract + perm benefit

• Nearest MRT: Tampines East

• Previous experience in research is more advantageous.

Job Description

1. Support the conceptualisation and management of studies related to correctional research and evaluation.
2. Conduct literature reviews and write reports.
3. Collect and analyze research data.
4. Provide publication-related support.
5. Coordinate with internal and external parties to facilitate research studies or related requests.
6. Maintain online knowledge management initiatives and miscellaneous management of e-resources.
7. Any other duties as assigned.

Job Requirement

1. Singaporean only.
2. Min Degree (Preferably Degree in Psychology/Social Sciences/ relevant qualification).
3. Strong writing, interpersonal, and communication skills.
4. Proficiency in statistical software (SPSS).
5. Previous experience in research is more advantageous.

*Salary offered depends on experience and qualification.

Interested candidates please click “Apply Now”.

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

Nicky Yew Soo Ee

Fulfillment Team

BGC Group Pte Ltd

EA: 05C3053

Registration No: R22109448

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 seek to appoint a postdoctoral Research Fellow (fixed term, 30 months) to work on uncertainty quantification in LLMs.

Key Responsibilities:

• Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of the work to meet deadlines.
• Develop independent research questions, propose new methodologies to improve on existing methods and contribute ideas for collaborative research projects.
• Assist the PI in mentoring, supervising and coordinating the activities of junior researchers and students of the research project.
• Lead small teams of students, software engineers, research assistants and other junior researchers to formulate and address research questions within the purview of the project; and assist the PI in mentoring and supervising them.
• Act as a source of information and advice to other members of the research team.
• Publish and present papers at conferences or public meetings.
• Work with industry and government partners to understand their research needs and formulate solutions.
• Contribute to outreach, communications and reporting as required to funders and stakeholders. Represent the research group at external meetings/seminars, either with other members of the group or alone.
• Help organise and actively participate in regular meetings and seminars within the group.
• Assist in raising research funds through grant applications.
• Carry out some related teaching and other works for the College that takes into account their career aspirations and development goals.

Job Requirements:

Essential Criteria

• Close to completion or hold a relevant Ph.D. with post-qualification research experience in statistical machine learning, and deep learning or large language models.
• Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models.
• Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and contribute ideas and solutions.
• Ability to independently plan and manage a research project, including a research budget.
• Possess strong collaboration abilities in person, on paper and over electronic channels.
• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Desirable Criteria

• Possess strong technical knowledge and abilities of deep learning and large language modelling frameworks (pytorch, jax, huggingface) as well as popular open-source codebases and LLM APIs.
• Experience of supervising staff.
• Experience of managing a research budget.
• Ability to raise research funds through making grant applications.

We regret 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 seek to appoint a Research Engineer II (fixed term, 30 months) to work on uncertainty quantification in LLMs.

Key Responsibilities:

• Work with project team in setting up and maintaining the project’s compute infrastructure, ensuring that these meet the needs of the project.
• Maintaining the project’s internal communication infrastructure to ensure that researchers across all three universities are able to work effectively together.
• Collaborate with the project team on research pertinent to the project, by
  Contributing to and developing ideas for novel methodologies and understanding of the research questions,
  Acting as a source of information and advice to other members of the research team, especially on computational matters
  Enabling large scale research implementations and managing research experiments,
  Contributing to the writing of research papers and submissions to high profile venues,
  Leading on efforts at open sourcing research code, and
  Presenting outcomes at international conferences and workshops.

The postholder will carry out any other duties that are within the scope, spirit and purpose of the job, as requested by their Reporting Officer.

Job Requirements:

Essential criteria

• Close to completion or holds a MSc or above in a relevant technical subject (e.g. computer science, statistics, engineering).
• Possess strong publication track record in machine learning or related fields.
• Possess sufficient specialist knowledge, research skills and interests in deep learning and large language models to work within established research programmes and contribute ideas and solutions.
• Possess strong technical knowledge and abilities of deep learning and large language modelling frameworks (pytorch, jax, huggingface) as well as popular open source codebases and LLM APIs.
• Possess strong motivation and interests in developing computational infrastructure (including both software and cloud solutions) to enable large scale implementations and experimentations in large language models.
• Possess strong collaboration abilities in person, on paper and over electronic channels.
• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

We regret that only shortlisted candidates will be notified.

Research Officer positions are available soon in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, Java, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Basic knowledge of cell biology or pathology is an added advantage.
• Ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings.
• Capability to present research findings effectively at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated researcher with an bachelor or master degree, eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Independent thinker with a strong passion for advancing the field of AI and biological image processing in clinical diagnosis.
• Excellent team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Solid general knowledge and understanding of scientific and engineering principles.
• Exceptional scientific and technical writing skills, coupled with outstanding communication abilities.
• Previous experience in medical image analysis projects, whether in an industrial or academic setting, is a plus but not mandatory.

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.

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

A Corp Lab in NTU is looking for a motivated Research Engineer to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Develop and implement the data and model interface for the AI/Data Twin platform with IoT or BMS systems.
• Debug and deploy the AI/Data Twin platform in on-site or cloud environments.
• Collaborate with the team to develop automation tools to optimize integration and deployment processes.
• Regularly maintain deployed platforms and perform data analysis.
• Prepare system delivery documents and maintenance reports.
• Quickly identify issues and develop solutions.

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Automation, or a related field.
• 2-3 years of experience in DevOps and IT systems maintenance (Linux).
• Proficient in operating systems, Docker, and Kubernetes.
• Skilled in Shell programming and fundamental Python programming.
• Familiar with cloud platforms such as AWS and Azure.
• Understanding of DevOps and automated testing tools, such as Ansible and Selenium.
• Excellent communication and problem-solving skills.
• Priority given to those with a background in power systems or cooling systems.
• Ability to quickly learn new technologies.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• Lead advanced research in the formulation and processing of functional materials for 3D printing, materials characterization and analysis.
• Collaborate with interdisciplinary teams to integrate materials into functional prototypes and applications.
• Prepare research findings for publication in high-impact scientific journals.
• Assist in the supervision and mentorship of graduate and undergraduate students.
• Participate in lab management, including equipment maintenance, supply management, and ensuring compliance with health and safety regulations.

Qualifications

• Ph.D. in Materials Science, Mechanical Engineering, or a related field.
• Strong background in materials characterization and 3D printing technologies.
• Proven track record of publishing high-quality research in peer-reviewed journals.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Strong written and oral communication 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

The candidate will study, via computational modeling and analytical techniques (reduced-order models) where appropriate, the flow of complex fluids through complex domains, subject to non-linear conditions such as, phase change, and temperature and pressure dependence of the fluid properties.

Qualifications

1. Substantial experience in computational techniques, molecular dynamics, complex flow simulations, advanced numerical methods and large-scale problems.
2. Strong programming and analytical skills are required. Experience in python, Fortran, C++ and parallel computing are a plus.
3. Good publication record in peer-reviewed journals for fluid mechanics.
4. A Ph.D. degree in relevant fields related to Mechanics, Applied Mathematics, Computer Science, and Mechanical Engineering.

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 Research Fellow (Postdoc) will conduct experimental and numerical studies in the field of coastal dynamics, including measurements and numerical modelling of turbulent processes in breaking waves, sediment transport, etc. The tasks involve particle image velocimetry (PIV) or particle tracking velocimetry (PTV) measurements of air-water interaction in a shallow water depth, turbulence in the presence of sediment concentrations, turbulence in wave-current interaction, etc. CFD model will be developed and validated with these experiments.

Qualifications

• Possess a PhD degree with research experience.
• Have with relevant background in coastal, ocean, and hydraulic engineering.
• Prior experience and knowledge of hydraulic laboratory experiments (e.g. with PIV/PTV) and numerical modelling (e.g. with DNS) of turbulent flow structures are preferred.
• Applicants must have a PhD degree and research experience.
• Strong written and spoken communications.
• Strong quantitative and analysis skills.
• Prior experience in publishing good publication record is advantageous.
• Open to fixed term contract

【About The Company】

Global Angle Pte. Ltd. is a rapidly growing market research start-up company that offers companies world-wide connection to build new knowledge and make informed decisions through a team of expertise. We are presently sourcing for a Japanese Speaking Junior Market Research professional to join us.

【Job Description】

• Conduct B to B marketing research/consulting
• Plan research strategies to fulfill the needs of the client's research projects.
• Find and collect data by studying reports, using online sources, taking surveys, and using a variety of other data-collection methods.
• Interpret and analyze research data, mining it for relevant information.
• Write research reports highlighting and summarizing essential information found through their data analysis.
• Present the findings verbally to summarize essential information learned through data collection and analysis.
• Manage the project team including our local researchers.
• Any other ad hoc duties assigned.

【Requirements】

• Bachelor Degree of (any major) or above.
• Proficiency in Japanese language is preferred(N2 and above) is necessary to manage stakeholders.
• Having qualitative marketing research skills (especially analyzing and planning skills) that is necessary for projects.
• 1-2 years of working experience in the market/industry research position is preferred(not a must).

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

We are looking for a Project Officer to take care of ERI@N IT related issues like setting up of computers, trouble shooting, planning for IT resources, capacity planning, operations supports, etc.

Key Responsibilities:

• Assist on IT related issues like setting up of computers, trouble shooting, planning for IT resources, monitor system resource utilization and etc
• Perform general maintenance on IT equipment, system upgrades, liaise with vendors and other IT personnel for problem resolution, such as: basic network troubleshooting in windows and linux using command prompt or Terminal troubleshooting of software or web browser compatibility issue for applications. Installation, and updating of window server 2012 and 2016, window 10, 8 and 7 OS. Including installation of linux OS
• Adding computer to domain, adding of network printers, and installation of server Roles and features.
• Identifies, diagnoses, and resolves network problems
• Deal with administrative matters which include purchases, related to IT equipments
• Assist with event on IT and AV matters - Audio Video and photography support
• Maintain network, CCTV system, workstation, servers, and notebooks within company
• Support Level 1 to level 2 IT support. Include software installation for user
• Familiar with Installation, and updating of window server 2012 and 2016, window 10, 8 and 7 OS. Including installation of linux OS. Adding computer to domain, adding of network printers, and installation of server Roles and features.
• Adding of local user for local system for common use workstation
• Able to deploy and update in house AV(Symantec EndPoint) software to all workstation, servers, and notebooks
• Able to support and administrate NAS file sharing access.
• Conduct Training and guidance to users.
• Manage IT Assets, keep track of new and existing IT assets, including loan items and reporting of damage IT assets return by staff.
• Manage software licenses
• Processing IT asset clearance for staff leaving the company.
• Operation support and other tasks as assigned by supervisor

Job Requirements:

• Bachelor’s / Diploma (for PO and Research Assistant equivalent) in IT operational support or related field
• At least 1-2 years of relevant experiences in similar role / technical hands-on experience in IT operational supports/ helpdesk
• Meticulous, organized, able to prioritize and multi-task
• Good written and oral communication skills
• Proficiency in MS office is preferred.
• 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.

Research Officer positions are available soon in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, Java, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Basic knowledge of cell biology or pathology is an added advantage.
• Ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings.
• Capability to present research findings effectively at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated researcher with an bachelor or master degree, eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Independent thinker with a strong passion for advancing the field of AI and biological image processing in clinical diagnosis.
• Excellent team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Solid general knowledge and understanding of scientific and engineering principles.
• Exceptional scientific and technical writing skills, coupled with outstanding communication abilities.
• Previous experience in medical image analysis projects, whether in an industrial or academic setting, is a plus but not mandatory.

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.

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)

We are looking for a Post-Doctoral/Research Fellow to join our research projects on novel semiconductor devices (memory/transistor).

Key Responsibilities:

• Develop baseline processes for novel memory/transistor test devices.
• Fabricate high quality memory/transistor test devices.
• Characterize test devices physically, analytically and electrically.
• Analyze, organize and present experimental data.
• Draft progress report/research proposal.

Job Requirements:

• PhD degree in electronics engineering or material science/engineering or applied physics or related field
• At least 4 years of relevant experience in semiconductor device fabrication and characterization.
• Familiarity with cleanroom fabrication tools and semiconductor device measurement instruments
• Good written and oral communication skills (mandatory).
• Proficient in cleanroom fabrication and test device characterization (physical/analytical/electrical), data analysis, organization and presentation.
• Self-motivated, responsible, able and willing to self-learn and adapt to changing priorities, possess sharp observational skills, able to work independently as well as in a team.
• Entry level candidates are welcome to apply.

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

Lead – Insights & Strategy Researchers at Quantum, work to answer the most challenging & strategic client questions

They reveal the human behind the product or brand by conducting primary research, exploring behaviours and motivations, and applying a collaborative and multidisciplinary approach that marries rigour of thick data analysis with strategic frame-working. They inspire clients by delivering deeper empathy for the user and bring alive the user’s experience through insights, case studies and storytelling.

ABOUT QUANTUM

Quantum is a specialised human & culture driven strategy consulting company with 9 offices spread across 7 countries in Asia & UK. We are proudly privately held and conduct about 300+ annual engagements across the globe. No one can ever accuse us of standing still in the 30 years since we began challenging the status quo.

We are a collective of anthropologists, semioticians, historians, behavioural economists, strategists, entrepreneurs, designers, and more. Our shared values & purpose influence the work that we do, with the aim of putting humans at the centre of business decision making.

Our thinking is informed by the field of human sciences, and businesses across the globe approach us to solve complex business, category and brand challenges that involve a deep understanding of human and social behaviour. We address client issues across the value chain – Future visioning and growth opportunity mapping, business purpose, building strong purpose-led brands and conceptualizing new products & services.

At the workplace, we strive to create joy and nurture our people to be the best version of themselves. That over a third of our workforce has been here for over 10+ years is testament that we are a great place to work and grow!

ABOUT THE ROLE

In this role, you’ll work closely to build and drive a portfolio of projects for clients across sectors such CPG, Tech, F&B, Finance etc. This would involve but not be limited to covering consumer insights, cultural understanding, semiotics, trends, brand purpose and so on.

YOU’D BE A GREAT FIT IF YOU…

· Have previous experience in qualitative insight and analysis in a reputed firm (Preferably 5-6 years minimum)

· Have a curiosity for knowledge regarding people, behaviour, brands and business

· Get excited to discover new patterns, shifts & formations in people’s behaviour and how they make choices

· Are resourceful in seeking out information and thrive on solving big problems

· Are proactive and entrepreneurial

· Exhibit strategic thinking during all stages of a project

· Are able to lead client conversations confidently– leading proposal presentations, project scoping, project documentation and leading sensemaking & reporting

· Seek constant learning opportunities to be trained in aspects of qualitative/ ethnographic techniques, innovation funnels and value proposition frameworks

WHAT CAN YOU EXPECT FROM THIS ROLE…

· You will independently manage and oversee projects end-to-end, with key client-facing responsibilities (projects can range from 3-4 weeks to 3-4 months)

· You will oversee user-research fieldwork such as ethnographic immersions, diary analysis, consumer interviews across SEA and China.

· You will sense-make from a wide stream of data to uncover insights, JTBDs and opportunity spaces

· You will work with Hive leaders to grow existing business relationships and acquire new clients that are in the CPG, F&B sector

· You inspire clients through translating insights into actionable presentations that also look great.

· On “thinking days”, you will exhibit cutting edge analysis when writing debriefs and contributing to final outputs across several media (PowerPoint, Workshop Decks etc.)

· On “high energy days”, you will co-Lead workshops that resolve tensions around brand, business, service, product and planet related challenges

· As you grow, you will mentor the development of associates, and play a pivotal role in shaping a happy and motivated team

· And, when the day is done, you can kick up your feet and bond with your team mates over shots and word games!

EDUCATION BACKGROUND & REQUIREMENTS

· It would be great if you have a Bachelor’s or Master’s Degree in a liberal arts, social sciences, psychology, sociology, anthropology, philosophy, design management, with a strong inclination to understand culture & brands

· However, we are not hung up on this. Some of our most brilliant colleagues have backgrounds in chemistry, engineering, journalism and even the history of art. So if you don’t have an educational background that matches the above, but making sense of people, culture, brands and business excites you…write in!

· Have the ability to express exceptionally well, verbally and in writing, in English

· Fluency in Mandarin is a must as some of the work is China-based

· Are a Singaporean / PR and based in Singapore

· This is a full time hybrid position

WHAT YOU CAN EXPECT FROM US…

· Work with Fortune 500 firms and Leading CPG/FMCG Brands

· Variable performance bonus scheme for Leads and above

· Flexible time & Flexible Space: Shared Spaces, Hot desking etc.

· Collaborative ways of working across offices

· 21 days of leave, in addition to 15 days of public holidays

· Sick Leave in accordance with local laws

· Training Rotations across the company

· Cross-group away day with participants from all offices

· Monthly training and inspiration sessions

· Robust appraisal and reward systems

If you are interested, please contact Namrata at [email protected]

Would be great if you can add the subject line ‘Lead: Singapore (Your name)’

Submit your CV & a cover letter

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow in Chiba group. The Chiba group in CCEB is pursing development of new synthetic routes that allows for efficient synthesis of biologically active complex organic molecules of pharmaceutical interests.

The Research Fellow will take on a significant role in the development of new molecular transformations utilizing polysulfide anions as photocatalysts for the synthesis of complex molecules.

Key Responsibilities:

• Conduct daily experiments in synthetic chemistry and catalysis.
• Analyze data obtained from experiments
• Oversee the project team to ensure timely progress and achievement of research goals.
• Submit weekly reports summarizing experimental results and progress.
• Present research updates in group meetings through oral presentations.
• Assist in planning and preparing future funding proposals.
• Summarize research findings for paper publications.

Job Requirements:

• PhD in Synthetic Organic Chemistry with more than 5 years’ experience in the relevant areas as graduate and/or postdoctoral fellow level in advanced institutions
• Proficiency in using various analytical equipment such as NMR, Mass Spec, IR, UV-vis and Potentiostat.
• Ability to handle air-sensitive materials and work with transient species in synthetic chemistry

We regret that only shortlisted candidates will be notified.

The Air Traffic Management Research Institute (ATMRI) was jointly established by the Civil Aviation Authority of Singapore (CAAS) and Nanyang Technological University (NTU) in 2013. As a renowned research institute, ATMRI focuses on finding innovative solutions to advance air traffic management (ATM) and catalyze the transformation of ATM systems in the region. The institute is at the forefront of research, integrating advanced AI, data analytics, and human-centered approaches to enable next-generation ATM systems.

We are seeking a highly motivated and independent Research Fellow to conduct innovative research in air traffic management, especially on the application of human factor in interface design for air traffic management.

Key Responsibilities:

• Develop the assessment framework for controller workload, communication and coordination efficiency, and decision making effectiveness when operating under and transitioning from normal and multi-sector planner staffing levels.
• Analyzing and optimizing users' human factor performance to ensure smooth transition between staffing level and effective use of ATM tools.
• Conducting qualitative and quantitative research to collect user feedback by analyzing bio-signal data or questionnaires.
• Facilitating communication and collaboration among experts from diverse backgrounds to integrate knowledge, communication and collaboration among experts from diverse backgrounds to integrate knowledge
• Spearhead research initiatives, publish in leading journals and conferences, mentor students, and collaborate with academic and industry partners to drive the deployment of next-generation ATM systems.

Job Requirements:

• A PhD degree in human factors, aerospace engineering, operations research, or a related field.
• Proven research expertise demonstrated through publications in SCI Q1 journals and ATM-focused conferences.
• Strong theoretical background in human factors for air traffic management systems.
• Proficiency in programming (Python, C++, MATLAB).
• Excellent English communication and writing skills - for research purposes
• Ability to work independently and as a team leader, managing multiple tasks across research and project objectives.

Join us to contribute to cutting-edge research and help shape the future of air traffic management!

We regret that only shortlisted candidates will be notified.

The Air Traffic Management Research Institute (ATMRI) was jointly established by the Civil Aviation Authority of Singapore (CAAS) and Nanyang Technological University (NTU) in 2013. As a renowned research institute, ATMRI focuses on finding innovative solutions to advance air traffic management (ATM) and catalyze the transformation of ATM systems in the region. The institute is at the forefront of research, integrating advanced AI, data analytics, and human-centered approaches to enable next-generation ATM systems.

We are seeking a Research Associate to conduct innovative research in air traffic management, especially on the application of human factor in interface design for air traffic management.

Key Responsibilties:

• Assists in development of the assessment framework for controller workload, communication and coordination efficiency, and decision-making effectiveness when operating under and transitioning from normal and multi-sector planner staffing levels.
• Analyzing and optimizing users' human factor performance to ensure smooth transition between staffing level and effective use of ATM tools.
• Conducting qualitative and quantitative research to collect user feedback by analyzing bio-signal data or questionnaires.
• Facilitating communication and collaboration among experts from diverse backgrounds to integrate knowledge
• Publishing in top-tier journals and conferences, mentoring students, and collaborating with industry and academic partners to deliver impactful results.

Job Requirements:

• A Master’s degree in Human Factors, operations research, or a related field;
• Domain knowledge in ATM is highly advantageous.
• Strong research contributions, evidenced by publications in SCI Q1 journals and peer-reviewed conferences.
• Proficiency in programming (Python, C++, MATLAB).
• Excellent English communication and writing skills - for research purposes
• Capable of managing multiple tasks effectively, both independently and as part of a collaborative team.

Join us to contribute to cutting-edge research and help shape the future of air traffic management!

We regret that only shortlisted candidates will be notified.

Benefits

• AWS
• 2-3 months performance bonus
• Yearly salary review

Job Description

• Provide nursing care according to nursing policies and standard operating procedures of nursing practices
• Assist doctor in procedures
• Monitor patients' condition and treatment
• Provide effective patient and family education when required

Requirements

• Holds a Valid SNB License

Interested candidates kindly email your updated resume to [email protected]

Applicants who possess relevant experience for the above responsibilities are most welcome to apply.

If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities

By submitting your personal data and/or resume, you give consent to the collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by company relating to this job application.

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

Megan Chan Xin Yi

Registration Number: R24123277

EA License No: 06C2859 (MCI Career Services Pte Ltd)

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

To conduct research in area of functional polymers and hydrogels

Qualifications

1. A Ph.D. degree in areas of chemistry, Polymer Science, or Physical Chemistry of materials.
2. Equipped with skills in polymer design and synthesis
3. Good at materials characterization using TEM, SEM, SAXS/WAXS.
4. Self-motivated and demonstrated a good track record in quality publication.
5. 1-2 years postdoc experience is an advantage while Ph.D. graduates with no prior experience are also welcome to apply.

Position Overview:

Black Sesame Technologies is seeking a talented and innovative Machine Learning Research Scientist with expertise in software/hardware co-design to drive advancements in autonomous driving technologies. This role offers a unique opportunity to bridge the gap between machine learning algorithms and hardware design, contributing to high-performance, efficient, and scalable solutions for AI-driven systems.

Responsibilities:

• Conduct in-depth research and analysis of cutting-edge machine learning algorithms, with a primary focus on applications in autonomous driving.
• Monitor and forecast industry trends in AI technologies to identify opportunities for innovation and improvement.
• Evaluate the computational and memory requirements of various AI models and operators, identifying optimization opportunities.
• Collaborate closely with chip architects and engineers to design and implement software/hardware co-designed solutions that enhance chip performance, efficiency, and scalability.
• Develop comprehensive technical documentation and presentations to effectively communicate complex concepts to both technical and non-technical audiences.
• Stay connected with academic and industry research communities to remain at the forefront of AI and machine learning advancements.

Qualification/ Requirements:

• Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related technical field with a strong focus on machine learning.
• Experience: Proven experience in developing and analyzing machine learning algorithms.
• Programming Skills: Proficiency in programming languages such as Python and C++.
• ML Frameworks:Hands-on experience with machine learning frameworks like TensorFlow and PyTorch, and deploying them on hardware accelerators.
• Collaboration: Demonstrated ability to work effectively in a team-oriented, cross-disciplinary environment.
• Co-Design Expertise: Strong understanding of software/hardware co-design principles and their impact on system performance is highly preferred.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant (MACC) – SINGER Study Operation in the Department of Pharmacology, Yong Loo Lin School of Medicine.

Our academic and research staff have outstanding research publication and grant funding track records in research areas such as cancer pharmacology, neuropharmacology, immunopharmacology, pharmacokinetics, and drug discovery and development. Pharmacology is the anchoring department for the Drug Discovery and Optimisation Platform (DDOP), Memory Aging Cognitive Centre (MACC) at NUHS, and the NUS Neuroscience Phenotyping Core (NPC). The Department also has a strong presence in University-level research institutes including the Cancer Science Institute (CSI), and the Life Sciences Institute (LSI) Neuroscience and Immunology Programs.

More information on the department is available at www.macc.sg

Appointments will be made on a 1 year- contract basis with option to renew.

Purpose of the post

To assist investigators in conducting a large-scale lifestyle intervention study according to study protocol, Singapore Guideline for Good Clinical Practice (SGGCP) and other applicable regulatory and ethical requirements as well as institutional policies.

Main Duties and Responsibilities

Research patient/Subjects Management

1. Gate keeping of the recruitment progress. Assist investigators in the screening and recruitment of potential patients/healthy volunteers as according to trial protocol.
2. Assist investigators in obtaining informed consent
3. Maintain and update screening log & enrolment logs
4. Schedule appointments for patients/subjects
5. Perform delegated procedures as required according to trial/study protocol
6. Ensure patients’/subjects’ compliance to trial medication / intervention
7. Label and dispatch specimens to the relevant laboratory as per condition specified in the trial protocol

Research Patient/Subjects Management

1. Label and store specimens in the condition as specified in the trial protocol
2. Trace laboratory and diagnostic reports (if any)
3. Assist the investigator(s) in adverse events / serious adverse events reporting
4. Perform high quality data collection through data collection forms or tools; Handle data entry and validation of study data
5. Maintain confidentiality on subjects and study data

Clinical Trial Administration

1. Plan, organise and co-ordinate routine trial study activities workflow (i.e setting up recruitment strategies and material & etc)
2. Provide effective updates to the stakeholder on the work done
3. Liaise with the relevant departments for logistic and finances related matters
4. Document and tabulate financial payments received and / or made to support the study
5. Up keeping study materials including procurement and inventory tracking.
6. Maintain Investigator Site File, tracking logs and ensure that all study documents are complete and up to date
7. Attend trial-related initiation, close-up and other trial related meetings

Secondary Responsibilities and Duties (20%)

1. Perform administrative duties and ad-hoc project as assigned by the Director/Manager

Qualifications

Degree in life sciences, nursing, or equivalent; candidate with medicine background will be of advantage.

1. Able to work independently and meticulously
2. Good written and communication skills. Besides English, well-verse in Mandarin is a must as our study subjects are elderlies and a big portion of them can only speak Mandarin. Other common Chinese dialects will be an added advantage.
3. Possess strong interpersonal skills
4. Flexibility to work on weekends (if needed. i.e for outreach event)
5. Team player

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yap Kwong Hsia at [email protected]

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees.

We regret that only shortlisted candidates will be notified.

The Research Assistant will be responsible to, and work closely with, the Principal Investigator, study team members and Family Medicine Development team to ensure the successful timely completion of the research on time. The RA’s principal role will be to work in general practices such as project management, recruitment, data collection, data entry and analysis. The RA may be required to liaise with personnel from partnering institutions in the course of his/her work.

You will be responsible for the followings:

• Assist PI with ethics application and amendments,
• Patient recruitment, informed consent taking and data collection
• Conduct focus group interviews, where required
• Manage research data, data entry, data cleaning and ethics/legal compliance
• Process patient reimbursement, where necessary
• Assist PI in preparation of study related presentations/materials
• Provide administrative and secretarial support to the project, such as organising regular meetings for the research team and collaborators from study sites
• Assist with any other duties of a similar nature that are delegated by the PI
• Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures

Requirements

• Bachelor’s degree in health sciences or nursing, preferably with some experience in healthcare setting
• Possess strong interpersonal skills
• Able to converse in English, Mandarin, Malay or major local dialects
• Proficient in MS Office applications (Word, Excel & Powerpoint)
• A team player with excellent interpersonal and communication skills, with the ability to work compassionately with geriatric participants
• Prior experience working in a research setting or with elderly will be advantageous
• Strong administrative and project management skills
• Willing to travel between study sites

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Key Responsibilities:

• To prepare and process perovskite nanomaterials.
• To operate, optimize, troubleshoot and maintain femtosecond laser systems.
• To setup and align optical beamlines/setups for transient optical spectroscopy experiments.
• To conduct ultrafast optical spectroscopy studies and nonlinear spectroscopy of novel semiconductors and emergent semiconductor nanostructures.
• To perform data analysis and data interpretation of transient optical spectroscopy experiments independently
• To assist the principal investigator with the writing of research papers.
• To assist the principal investigator with the writing of research grants.
• To assist the principal investigator in the supervision and mentoring of a small research team comprising of post-graduate students and undergraduate students.

Job Requirements:

• Candidate must possess at least a PhD Degree in Physics or Chemistry or Chemical Sciences. PhD candidates who are about to submit their thesis for examination or have submitted their thesis for defence are also welcome to apply.
• In addition, candidate must possess at least a BSc 1st Class/2nd Class Upper Honours Degree in Physics or Chemistry or Chemical Sciences.
• Critical Requirement: Candidate must have a Minimum 3 Years of Research Experience in Ultrafast Lasers and Ultrafast Laser Spectroscopy of semiconductor materials.
• Critical Requirement: Candidate must also have a Minimum 3 Years of Research Experience in the study of photophysics in semiconductor systems.
• Excellent knowledge in chemical synthesis, optics, photophysics of semiconductors, charge and quasi-particle dynamics, charge transfer mechanisms, femtosecond lasers, and femtosecond laser spectroscopy is essential. A written and oral test of the candidate’s technical competency of femtosecond lasers, photophysics concepts, and ultrafast optical spectroscopy basics will be conducted during the interview.
• Excellent knowledge in the optical characterization of semiconductor materials (including nanostructures) which includes transient spectroscopy (pump-probe, time-resolved PL), and nonlinear spectroscopy (z-scan and multiphoton spectroscopy).
• Evidence of prior experience with Physics modeling of charge trapping and phonon energy losses in semiconductor systems (i.e., the candidate’s previous works must be published in journals with an impact factor > 10).

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.

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