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

Why Join Us

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

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

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

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

Join us.

About The Team:

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

The main job directions include:

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

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

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

Qualifications

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

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

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

Preferred Qualifications

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

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

Qualifications

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

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

Brief Description

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

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

Responsibilities

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

Requirements

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

Selection Process

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

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

About Happiness Initiative

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

Website: https://happinessinitiative.sg

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Principal Investigator: Associate Professor Catherine ONG, Department of Medicine

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

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

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

Main Duties and Responsibilities

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

Qualifications

Applicants should have:

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

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

【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.

ISCE2 is seeking a talented Research Engineer to be part of a dynamic, multi-disciplinary team to develop next generation green and sustainable technology for the biomanufacturing of fine and specialty chemicals. This position offers an opportunity to work enzyme and bioengineering to develop new enzymes for more streamlined manufacturing of complex molecules. The ideal candidate is passionate about science and sustainability, self-motivated, organised, detail-oriented, enjoy laboratory work, and has excellent communication and teamwork skills. The successful candidate may be responsible for but not limited to:

• Conduct experiments related to molecular biology, including molecular design and cloning
• Perform protein expression in bacterial systems, including molecular cloning, fermentation in bioreactors/shake flasks, and protein separation and immunoassays
• Design, plan and execute experiments based on proposed project scope
• Be comfortable with the use of technology to aid experiments
• Support screening, biocatalysts characterization and hits validation efforts
• Analyze data, interpret results and troubleshoot
• Presentation at regular project meetings and summarize results in reports
• Presentation and review of relevant literature
• Assist in the preparation of scientific communications, publications, figures and posters
• Perform general lab housekeeping
• Other duties as assigned by the manager

Requirements:

• BSc or Masters degree with some laboratory experience, preferably in Microbiology, Biotechnology, Chemical Engineering or Biological Engineering.
• Preferred hands-on experience with microbial culture.
• Experience with bioreactors will be advantageous.
• Preferred hands-on experience with molecular cloning and bioanalytical techniques, such as PCR, SDS-PAGE, LC-MS, Western blot, ELISA or other immunoassays, etc.
• Team player who is self-motivated and enjoy applied research work in a multidisciplinary environment
• Adaptable to team-oriented goals and requirements
• Good problem-solving skills
• Rigorous data analysis and interpretation skills
• Meticulous, attention to details and organized
• Excellent oral/written communication, documentation and organization skills
• Ability to prioritize responsibilities and multi-task

ISCE2 offers a challenging and rewarding work environment with opportunities for career development. If you are passionate about science and sustainability, and want to make a difference in the world, we encourage you to apply.

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 NUS Centre for International Law (CIL) is accepting applications for Research Associate for its Energy Law and Policy Programme (ELP). The ideal candidate would be interested in working on globally-oriented energy governance issues with a regional focus, particularly topical issues of a cross-cutting nature. CIL encourages its research staff to develop independent and joint research within its areas of focus. Candidates with interdisciplinary research experience/perspectives are encouraged to apply.

In addition to conducting research, the Research Associate (RA) is expected to assist in planning and organising international and regional conferences, workshops and training courses for government officials; and to be involved in drafting background papers and/or reports for such events.

In the case of cross-cutting issues, the RA is expected to collaborate with other research teams within CIL to ensure efficient and effective research outcomes. He/ She is also expected to contribute to the development and maintenance of an internal knowledge base as well as efforts to keep the CIL website and other research-related social media platforms up to date.

The successful candidate can look forward to working at the forefront of governance issues as part of the global energy transition and contributing to shaping the future of energy governance at both the global and regional levels. CIL also provides opportunities for its research staff to attend regional and international conferences, workshops and symposiums. There would also be opportunities to work with leading international and regional experts in this field and gain valuable exposure to a range of energy governance issues and perspectives. The successful candidates can look forward to joining a small collegial team that values team work and excellence.

Qualifications

• A Juris Doctor (JD) or a Master of Laws (LLM) in international law with a demonstrable interest in energy and/or environmental governance issues and strong research, writing and analytical skills.
• Candidates with strong IT skills and experience creating and managing engaging social media content across various platforms will have an added advantage.
• Candidates with a particular interest in Southeast Asia and its regional institutions are strong encouraged to apply.

Application Procedures

Interested applicants are invited to apply online via the NUS Career Portal with the following documents:

• Detailed curriculum vita
• Cover letter that demonstrates why you should be considered for the relevant position
• Two samples of written work
• Names/contact information of two (2) referees

Applications are assessed on a rolling basis and only short-listed candidates will be contacted. For enquiries, please contact Ms Huong Tam at [email protected]

More Information

About Centre for International Law (CIL)

The Centre for International Law (CIL) was established in 2009 as a university‐level research institute at National University of Singapore (NUS). It is located on the Bukit Timah Campus of NUS, together with the Faculty of Law. As a university-level research institute, CIL is expected to engage in multi-disciplinary research as well as legal research. For more information on the Centre including its vision and mission please see www.cil.nus.edu.sg.

Energy Law and Policy Programme

The Energy Law & Policy Programme is a new programme area which CIL is developing, building on its existing Nuclear Law and Policy Programme which now forms part of the new ELP Programme. The Programme is headed by Denise Cheong, who was previously the head of CIL’s Nuclear Law & Policy Programme. For further information on the Energy Law and Policy team and their projects, events and publications, please visit https://cil.nus.edu.sg/

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

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.

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.

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

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course. A*STAR Institute for Human Development and Potential (IHDP) is currently looking for an ambitious Research Officer to work on projects investigating obesogenic behaviours in early childhood.

Job Responsibilities

The successful candidate will provide research and administrative support to new and ongoing studies and will:

• Analyse and present quantitative data from longitudinal cohorts
• Lead systematic and scoping reviews
• Lead data collection, management, analysis and day-to-day administration of new research projects
• Contribute to research publications, book chapters and reviews
• Contribute to the design of research materials
• Represent the research group at external meetings, either with other members of the group or alone

Job Requirements

• A bachelor’s degree in the relevant disciplines (e.g. Psychology, Behavioral Science, Nutrition)
• Keen interest in the area of child development
• Proficient in the use of statistic software such as SPSS, R or others
• Experience with systematic and/or scoping reviews
• Excellent command of spoken and written English
• Strong interpersonal skills with enthusiastic demeanor
• At least 2 years of relevant working experience within an academic or healthcare setting is advantageous
• Experience of contributing to research publications is advantageous

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.

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

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 the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on resolution of batch effects in antibody and microRNA profiling data for an esophageal squamous cell carcinoma (ESCC) project.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area
• Familiarity with analysing omics datasets
• Understand the interplay between batch effects and missing values
• Knowledge of methods for resolving batch effects
• Ability to make robust analysis in the presence of batch effects

Job Summary

· Provide perioperative nursing care

· Assist surgeon during operation

· Coordinate and collaborate with multi-disciplinary caregivers in providing safe efficient patient care

Roles and Responsibilities

Patient Care Management

· Ensure operating rooms are prepared for procedures, respect patient rights and confidentiality, conduct preoperative assessments, and ensure surgical equipment readiness.

· Assist in patient positioning, support surgeons during procedures, and participate in anesthesia and recovery tasks.

· Maintain sterility standards, intervene in emergencies, and accurately document patient records.

Patient Education

· Maintain effective communication and interpersonal relations with the patients and caregivers

Professional Development

· Participate in ongoing nursing education, mentor junior staff, provide feedback on clinical performances, conduct in-service education, and act as a resource for perioperative nurses.

Risk and Quality Management

· Deliver evidence-based care, report unsafe practices, ensure infection control compliance, implement fall prevention measures, and identify opportunities for clinical improvement.

Qualifications and Education Requirements

· Registered Nurse with Singapore Nursing Board

· BCLS & AED certified

· Advanced diploma or degree in nursing or equivalent

· At least 2 years' experience as a Staff Nurse in a clinical setting

Job Summary:

As a Market Research Analyst at A2000 Solutions, you will contribute to data-driven marketing strategies while supporting the marketing team with content creation and design-related tasks. This role involves gathering market data, preparing actionable insights, and creating compelling visuals and marketing materials to enhance our brand presence and drive customer engagement. The ideal candidate combines analytical expertise with creative skills to support ERP, POS, and inventory management solutions marketing efforts.

Key Responsibilities:

Market Analysis:

• Conduct market research to identify trends, customer needs, and competitive activities in the business solutions industry.
• Analyse market data to provide actionable insights for the marketing team.

Customer Insights:

• Design and conduct surveys, focus groups, and questionnaires to gather customer feedback.
• Translate customer data into strategies to improve product positioning and marketing effectiveness.

Competitor Analysis:

• Research competitor strategies, pricing, and customer engagement tactics.
• Prepare detailed competitor analysis reports and recommend strategies for A2000's competitive advantage.

Content Preparation:

• Create and refine marketing materials such as brochures, social media posts, email campaigns, and infographics.
• Collaborate with the design team to develop visually appealing content that aligns with A2000’s branding.

Design Support:

• Assist in designing promotional materials, including posters, banners, and digital ads.
• Ensure all designs are consistent with A2000’s corporate identity and marketing goals.

Campaign Optimization:

• Support marketing campaigns by providing data-driven insights to improve targeting and engagement.
• Evaluate and report campaign performance metrics, suggesting areas for improvement.

Trend Monitoring:

• Stay updated with industry trends, market demands, and technological advancements affecting the ERP and business solutions landscape.
• Recommend innovations to align marketing strategies with current trends.

Collaborative Efforts:

• Work closely with sales, product development, and marketing teams to ensure cohesive messaging and strategy.
• Contribute to the preparation of reports, case studies, and presentations for internal and external use.

Content and Presentation:

• Prepare professional, data-backed reports and presentations for stakeholder engagement.
• Assist in drafting scripts, storyboards, and layouts for marketing videos or webinars.

Process Improvement:

• Identify inefficiencies in marketing processes and suggest improvements.
• Propose new tools and technologies to streamline research, content creation, and campaign execution.

Ad-Hoc Tasks:

• Perform any additional duties as and when assigned by the reporting head to support the marketing department’s goals.

Key Requirements:

Education: Bachelor’s degree in Marketing, Business Administration, Communications, Design, or a related field.

Experience: 1-2 years of experience in market research, content creation, or a similar role. Fresh graduates with relevant internships are encouraged to apply.

Skills:

• Proficiency in data analysis tools (e.g., Excel, Power BI) and design software (e.g., Adobe Photoshop, Canva).
• Strong communication and content writing skills.
• Knowledge of digital marketing metrics and platforms (e.g., Google Analytics, SEO tools).
• Creative mindset with an eye for design and branding consistency.
• Excellent organizational and project management skills.

What We Offer:

• An opportunity to shape marketing strategies for leading ERP and business solutions.
• A collaborative and innovative work environment.
• Training and development in market research, design, and digital marketing tools.
• Competitive salary and performance-based incentives.

About A2000 Solutions:

A2000 Solutions is a leading provider of ERP, POS, and inventory management solutions. Our innovative tools are designed to help businesses thrive by improving efficiency and scalability. Join us in creating impactful marketing strategies that drive growth and customer satisfaction.

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.

Evaluating the errors associated with Machine Learning (ML) predictions is an active area of research crucial for the safe and effective deployment of ML techniques. These errors have two components. The epistemic error refers to the degree of similarity between the analysed data and the ones the uses to train the machine. The uncertainty error refers to the noise in the training and test data.

The Pica Ciamarra groups is looking for a highly motivated and qualified Research Fellow with the ambition of producing high quality research to develop physics-inspired model for error estimation in ML. The Research Fellow will be involved in research design, data analysis, model development, numerical simulations, and report/paper writing, in strict collaborations of partners of the CNRS@Descartes.

The Research Fellow is expected to perform state of the art numerical simulations using computing resources from National Supercomputing Centre (NSCC) Singapore. The incumbent has freedom to design the nature and type of deep learning simulations.

Key Responsibilities:

• Devise physics-inspired ML approaches to estimate epistemic and uncertainty errors.
• Construct synthetic dataset suitable to the designed models.
• Implement models for error estimation in classification and regression tasks.
• Interact with partners of the CNRS@Descartes project to foster the application of the developed models to use cases.
• Validate models via large scale simulations on National Supercomputing Centre (NSCC) Singapore.

Job Requirements:

• Ph.D in physics or related disciplines
• 2 years of relevant experience is preferred
• Experience in Machine Learning and modeling
• Knowledge of Python and C++
• Able to multitask and work in a multidisciplinary team, demonstrate initiative and work independently with strong interpersonal skills.
• Good publication record in international journals

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.

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