Details

• Full time contract (1 year, extendable & convertible)
• Good employee welfare and benefits for long term staffs
• Monday - Friday Office Hours
• 18 days Annual Leave
• AWS confirmed
• 1 Month Completion Bonus

Job Scope

• Assist to support 3 VPs on their calendar, travel, expenses, claim, visa
• In charge of coordinating team events, on boarding of new hires
• Supporting the department of up to 20 Pax in all administrative support and coordination of work
• Plans team meetings, company events, and other organization activities—booking venues, hotels, travel, and coordinating agenda and materials as required.
• Coordinates internal and external logistics for high-level meetings and organizes participation in industry events.

Requirement

• At least 5 years of relevant working experience

Interested applicants may email the resume or following details to [email protected]

EA License No: 04C3537
EA Personnel No: R23117142
EA Personnel Name: Estele Chai

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 Global Asia Institute (GAI) seeks a full-time Research Assistant/Associate to support faculty and researchers in carrying out projects related to business resilience, economic adaptation, and corporate history. The role focuses on the study of firms navigating adverse environments, as outlined in our forthcoming research project on business resilience across diverse industries and geographies.

We are looking for someone with exceptional writing and research skills, an innovative mindset, and the ability to work independently. The candidate will collaborate closely with world-class faculty and post-doc researchers, contributing to the development of case studies and actionable frameworks. This position offers hands-on experience in academic research, project management, and business writing, providing valuable exposure to historical and contemporary corporate strategies.

Salary benefits will be commensurate with skillset, experience and qualifications.

Qualifications

• At least a Bachelor’s degree from a reputable institution.
• Academic background in the social sciences or business-related fields.
• Strong interest in business writing and case writing.
• Highly organized, meticulous and detail oriented.
• Ability to multi-task and handle multiple projects concurrently.
• Proficient in Microsoft Office.
• Fluency in programming languages (such as R and Stata) will be an advantage.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assistant Professor Andrea Phua’s lab on a range of projects, primarily “Investigating the cognitive functions of neuronal cilia in dorsomedial striatum- mediated goal-directed learning”.

The main responsibilities of the position include:

• Conducting mouse behavior experiments
• Conducting mouse brain stereotaxic surgeries
• Managing mouse breeding colonies
• Performing molecular biology experiments e.g. virus vector production

Qualifications

The candidate should hold a Bachelor’s Degree in Biological Science, Biomedical Science, Biotechnology or Veterinary Technology. Polytechnic diploma holders with relevant skills and experience are also encouraged to apply.

Skills:

• Strong interest in neuroscience research
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Experience in small animal care, surgery and husbandry
• Understands small rodent behavior
• Good knowledge of molecular biology e.g. genotyping, molecular cloning, virus vector production, mammalian cell culture

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 Life Sciences Institute is a research centre dedicated to the understanding of fundamental biological pathways in human health and disease, environmental science and industrial processes.

We promote scientific discovery through creative and multidisciplinary approaches in an environment that is highly collaborative. We also seek to integrate our pioneering basic research with the application and exploitation of new research discoveries. LSI brings together scientists and clinicians from five NUS faculties and supports advanced core facilities and cutting-edge research infrastructure.

We are looking for an individual trained in cell culture, transfection and standard molecular biology assays such as confocal microscopy, flow cytometry, western blot, immunohistochemistry.

The job would include performing:

1. In vitro experiments with cell culture
2. Standard molecular biology assays such as immunostaining, convocation microscopy, flow cytometry, cryosectioning
3. Performing in-vivo experiments with rodents - involves rodent anaesthesia, perfusion, dissection
4. Helping out with purchasing items and laboratory housekeeping

Qualifications

Applicant should:

• Successfully completed Bachelor's Degree in Life Sciences
• Preferably have prior knowledge in tissue cryo-sectioning, preparation of paraffin-embedded tissues and familiar with immunofluorescence staining of animal tissues.
• Be comfortable with animal handling. Prior experience is preferred but not required
• Preferably have prior experience in basic laboratory techniques such as cell culture, histology, and confocal microscopy is advantageous.
• Proficient in English.
• Preferably be proficient in lists of software eg. ImageJ, GraphPad Prism and BioRender.
• Be highly motivated, independent, detail-oriented

Please include your cover letter, CV and names of 3 references (name, institution, email) upon application. Shortlisted candidates will be contacted.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The NUS Global Asia Institute (GAI) seeks a full-time Research Assistant/Associate to support faculty and researchers in carrying out projects related to business resilience, economic adaptation, and corporate history. The role focuses on the study of firms navigating adverse environments, as outlined in our forthcoming research project on business resilience across diverse industries and geographies.

We are looking for someone with exceptional writing and research skills, an innovative mindset, and the ability to work independently. The candidate will collaborate closely with world-class faculty and post-doc researchers, contributing to the development of case studies and actionable frameworks. This position offers hands-on experience in academic research, project management, and business writing, providing valuable exposure to historical and contemporary corporate strategies.

Salary benefits will be commensurate with skillset, experience and qualifications.

Qualifications

• At least a Bachelor’s degree from a reputable institution.
• Academic background in the social sciences or business-related fields.
• Strong interest in business writing and case writing.
• Highly organized, meticulous and detail oriented.
• Ability to multi-task and handle multiple projects concurrently.
• Proficient in Microsoft Office.
• Fluency in programming languages (such as R and Stata) will be an advantage.

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group. Wilmar International business activities include oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing and merchandising, specialty fats, oleochemicals, and biodiesel manufacturing, and grains processing and merchandising. It has over 1,000 manufacturing plants and an extensive distribution network covering China, India, Indonesia and some 50 other countries. The Group is backed by a multinational workforce of about 100,000 people.

Job Summary

We are currently recruiting a position for an assistant research officer to join Wilmar’s corporate lab (WIL@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres to predict quality parameters related to the product.

Main responsibilities of the incumbent (not limited to):

• Manage and pre-process data
• Ability to code and script based on specified tasks
• Statistical analysis and machine learning experience in the following area
• Forecasting using time series data
• Neural networks, in particular recurrent and long short term memory networks
• Versatile in applying computational techniques to solve open problems
• Participate in seminars and research-in-progress meetings within the team and collaborators

Job requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Machine learning and statistical background
• Positive learning attitude towards new ideas

Duke-NUS Medical School (Duke-NUS) was established through a landmark collaboration between two world-class institutions; Duke University and National University of Singapore, with the objective of providing innovative education and impactful research that enhance the practice of medicine in Singapore and beyond.

The Centre of Regulatory Excellence (CoRE) was established at Duke-NUS in 2014 with the mission of forming regional platforms and networks to grow competencies, build capacity and promote thought leadership in regulatory science and health policy in the Asia Pacific, with a focus on South-East Asia.

CoRE has established a strong and highly regarded education portfolio for industry professionals and regulators. The Centre also enables thought leadership and policy innovation in areas of health products regulation, and its expanded scope now includes issues related to global health, health policies and health system strengthening. Its key focus areas are digital health, vaccines & pandemic preparedness, advanced and innovative therapeutics, innovative clinical trials, and medical devices.

The roles and responsibilities of the successful candidate would include: -

• Contribute to the development and maintenance of training components including online courses, in collaboration with external technical experts.
• Engage network of experts locally and regionally, to ensure the accuracy and practical relevance of training courses.
• Ensure close alignment and consistency of training in support of the University’s pedagogy and maximising the learner’s engagement.

Qualifications

• Degree in Biomedical, Life Sciences or equivalent with minimum 2 years of knowledge, skills and expertise in the relevant field.
• Competent and experienced in developing and constructing training materials for tertiary education.
• Prior experience in regulatory affairs and knowledge of healthcare settings of the ASEAN region will be advantageous.

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

National University of Singapore

Yong Loo Lin School of Medicine

Alice Lee Centre for Nursing Studies (ALCNS)

Research Assistant

Appointment period: 1 year in the first instance, with a possibility of extension up to 1 year.

Expected commencement of work: ASAP

Duties and Responsibilities

The appointee will assist the project leader with the following:

1. oversee the general management and assist in the administrative and secretarial support to project (e.g. organizing regular research meetings, meeting minutes recording);
2. assist in literature review and manuscript preparation;
3. conduct literature searches, using SPSS to enter data, analyze data and maintain trial databases, as well as assist in preparing both progress and final reports of the projects;
4. undertake the day to day running of the project at the study site (such as assist in ethical application and amendment, recruitment, provision of intervention, and data collection in study sites);
5. maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
6. work on other tasks as assigned.

Qualifications

The applicant should:

1. have a degree in nursing/psychology/public health or related disciplines;
2. experience working with research project management or having a honors degree will be preferred;
3. experience in conducting interventional research;
4. be able to work independently and with a team, have an investigative nature and attention to detail;
5. have knowledge of computer applications (such as SPSS and MS Office, PowerPoint); and
6. have good communication skills with patients and colleagues, and fluency in English.

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in project management and interventional research.

Formal application:

Please submit your application, indicating current/expected salary, supported by a CV and full contacts of 3 referees.

We regret that only shortlisted candidates will be notified.

Responsibilities:

• Support the head of research in formulating real estate strategy for the REIT’s balance sheet assets and fund vehicles
• Collect and prepare macroeconomic and real estate research materials as necessary
• Conduct research and analysis on Asian real estate markets, prepare presentations
• Provide analysis for pitchbooks, and support related capital raising for real estate funds
• Produce written papers on topical real estate related issues

Requirements:

• Bachelor degree with major in either economics, finance, statistics, mathematics, real estate, or business
• A keen interest in real estate markets is an advantage but not essential
• Strong analytical and numerical skills
• Excellent excel spreadsheet and PowerPoint skills
• Strong communication and writing skills in English
• Good presentation and interpersonal skills
• Able to multi-task, a fast learner with a positive attitude
• Dynamic, flexible and teamwork player

Responsibilities:

• Support the head of research in formulating real estate strategy for the REIT’s balance sheet assets and fund vehicles
• Collect and prepare macroeconomic and real estate research materials as necessary
• Conduct research and analysis on Asian real estate markets, prepare presentations
• Provide analysis for pitchbooks, and support related capital raising for real estate funds
• Produce written papers on topical real estate related issues

Requirements:

• Bachelor degree with major in either economics, finance, statistics, mathematics, real estate, or business
• A keen interest in real estate markets is an advantage but not essential
• Strong analytical and numerical skills
• Excellent excel spreadsheet and PowerPoint skills
• Strong communication and writing skills in English
• Good presentation and interpersonal skills
• Able to multi-task, a fast learner with a positive attitude
• Dynamic, flexible and teamwork player

【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).

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.

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 Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

The job is for automated high-throughput experimentation and robotic development, running AI-driven automated worklows for thin film development, electrical and opto-electronic characterization as well as device applications. The RF will be responsible for building a fully automated robotic platform to execute the scientific goals laid out in the project, with multi-layer perovskite film deposition and crystallization, followed by rapid characterization to create a database (primarily building upon the SpinBot system we have purchased from SciPrios: https://www.sciprios.de/lab-automation/spincoating-robots/ ). The RF is also expected to execute optimization algorithms developed by the team to identify relevant regions of interest in the input parameter space. Python programming, database management and robotic interfacing (both with robots and electrical and mechanical equipment) is necessary for this job.

The work is critical in the goal of materials-by-design, especially considering sparse, yet well-labelled materials science datasets. The work performed here will continue to maintain NTU’s leadership in the space of AI for materials science, especially with digital discovery and data-driven learning being pioneering areas of research.

Key Responsibilities:

The Research Fellow is expected to work in the space of High-Throughput experimentation and automated robotics for synthesis, thin film deposition and electrical and opto-electronic characterization. Specifically, the RF is expected to work on the following areas of research:

• Building a self-driving lab with robots, spin-coater and/or doctor blade coating systems, integrated with sample transfer and electrical and opto-electronic characterization.
• Operating and maintaining the robotic systems and working with protocols, interfacing with characterization equipment, environmental chambers, and a data management system.
• Execute optimization algorithms that allow for fully automated experimentation, working closely with other members of the team.
• To assist in the creation and maintenance as well as performance of experiments in a self-driving thin film lab along with driving the scientific goals of the project, hypothesis generation and working closely with a 4-member PhD team.

Job Requirements:

• PhD degree in materials science, physics, chemistry, electrical engineering and/or related field
• Strong previous experience in building and assembling robotic systems, especially in materials research is critical.
• Experience in solution-based materials deposition is necessary, especially in halide-perovskite based systems.
• Skills and experience in quantitative research, robotics and electrical characterization and interfacing.
• Expertise in materials characterization techniques is necessary.
• Good analytical and academic writing skills
• Must also be informed in data management
• A good team player with effective communication skills and the ability to work closely with faculty, staff and external collaborators
• Good project management skills
• Entry level candidates are welcome to apply

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

10 years to 15 years

Responsibilities:

• You will be working with survey data, public datasets (e.g., census data), or experimental data.

• Responsible for cleaning data, handling missing values, filtering data, and dealing with outliers, which is essential in any research context.

• You may need to merge or join different datasets, and KNIME has nodes for combining data from multiple sources like Excel, CSV, databases, or APIs.

• Use KNIME compute basic descriptive statistics like means, medians, standard deviations, and percentiles.

• Visualize distributions, histograms, boxplots, and scatter plots to help you identify trends or anomalies in the data using Knime.

• You should correlation matrices or pair plots to examine the relationships between variables in your social research dataset.

• T-tests, ANOVA, Chi-square Tests For hypothesis testing, you can run statistical tests to compare groups or associations

• Use KNIME for linear regression, logistic regression, or multivariate analysis to study relationships between variables.

• Analyze complex survey data with many variables, factor analysis or PCA can reduce dimensionality and identify key underlying factors.

• Use KNIME for structural equation modeling (SEM), which is commonly used in social research for understanding relationships between observed and latent variables.

• Integrate geospatial data processing to visualize and analyze spatial patterns.

• Connect KNIME with GIS tools (like QGIS) to map trends and perform geospatial analysis.

• Using KNIME drag-and-drop interface for training and testing machine learning models.

• Leverage KNIME’s integration with tools like Tableau or Power BI for storytelling and sharing insights with stakeholders or a non-technical audience.

• Import survey data from CSV files or a database.

Key Skills Required:

• Building workflows using KNIME Analytics Platform

• Use KNIME Nodes For various tasks, such as data input/output, data cleaning, statistics, machine learning, etc.

• Integrates KNIME with Python and R for further analysis.

• Use KNIME’s reporting tools or integrate it with external tools for advanced reporting and dashboards.

• Additional Knowledge Areas:

• Survey Design & Sampling: Understanding how to design surveys, sample populations, and handle biases in data.

• Social Science Theories: Knowledge of theoretical frameworks that guide quantitative research in the social sciences, like social stratification, political behavior, or economics.

• Data Ethics & Privacy: Awareness of ethical considerations in social research, especially regarding sensitive data.

• Familiarity with scripting and data collection platforms WinCATI, Sensus and Forsta is must.

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

EVO Outsourcing Solutions Pte. Ltd

• RCB No. 202233837K

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) invites applications for the position of Research Scientist.

Key Responsibilities:

• Take charge of research & developments on project in sustainability standards and metrics
• Statistical analysis and modelling for survey data and behavioural experiments/recordings
• Reports, posters, conference papers and manuscripts preparations
• Communicating with the research team and liaising with the collaborators of the project

Job Requirements:

• PhD degree in Management, Behavioural Sciences, Statistics, Computer Science, or equivalent fields
• Prior research experience in environment and metrics, experimental designs, surveys, and behavioural studies
• Abilities in database, statistical analysis and modelling and programming, good at MySQL, Matlab, Python, R, or SPSS, etc

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.

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

Job Responsibilities:

• Develop and maintain codebases
• Do experiments to measure and evaluate performance of cloud systems
• Read and write related academic papers
• Engage in and facilitate teamwork
• Co-supervise UG and PG students and research staff
• Assist with administrative work, teaching, and research event arrangements

Job Requirements:

• A PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.
• Strong interest in systems research
• Strong programming skills in C++, Golang, or Rust and Python

We regret that only shortlisted candidates will be notified.

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Research Officer to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

The laboratory headed by Dr. Marco Vignuzzi is leading cutting-edge virology and antiviral and vaccine therapies. We are seeking a motivated and fast learner to participate in projects involving the development of RNA therapeutics.

Job Description:

• Produce and assay RNA using techniques such as in vitro transcription, qPCR, and next generation sequencing
• Perform molecular biology assays such as molecular cloning and Western blots
• Perform irological assays in cell culture for a wide variety of RNA pathogens, including chikungunya virus, Zika virus, dengue viruses, enteroviruses
• Perform meticulous recordkeeping and draft reports and presentations to collaborators
• Oversee daily laboratory activities and help manage the lab’s routine admin duties
• Help new students and postdocs settle into the lab, transfer techniques to them, and participate in their research
• Ensure safe technical practices and procedures

Job Requirements

• Bachelor Degree in Biomedical Sciences, Biochemistry, Life Sciences, Biological Sciences, Infectious Diseases, Microbiology, Immunology, or related field
• At least 3 years wet lab experience and relevant experience in molecular biology and in cell culture
• Experience with RNA techniques (RNA extraction, qPCR, next generation sequencing, northern blotting) is preferred
• General lab skills in molecular biology (cloning, PCR)
• Highly motivated and able to work independently and multitask
• Team player with good interpersonal skills
• Good spoken and written communication skills
• A strong desire to constantly learn and acquire new skills

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.

Amethyst Partners is a specialised recruitment organisation in the asset management industry and due to a team expansion, we are currently looking for Junior Researchers to perform the following:

• Assist Recruitment Consultants with effective and timely assignment delivery.
  
• To undertake executive research, and candidate management activities, and keep candidate and client information updated.
  
• Conduct researches to identify suitable candidates for each candidates including targeted market mapping, talent pooling, database searching, networking and headhunting
• Building relationships with candidates and keeping track of their career goals and progress
• Approach suitable candidates and screen against agreed competencies and criteria for each project.
  
• Capture and maintain accurate market, client and candidate information on the company’s database
• Maintain database and other ad-hoc assignments

Business Registration Number: 201824722D. Licence Number: 20C0180. EA Personnel Registration Number: R1762339

We are seeking a Research Associate to join a university-level research centre. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop advanced cryptographic protocols for privacy protection of machine learning models in AI accelerators. Candidates are expected to have a strong background in relevant areas.

Key Responsibilities:

• Conduct research on the design and implementation of applied cryptographic protocols for privacy-preserving of AI models and data.
• Conduct research on the development of security and privacy enhanced solutions for AI accelerators.

Job Requirements:

• Master’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Strong background in cyber security, machine learning, computer hardware, and related areas.
• Strong publication records in top-tier artificial intelligence or computer security conferences/journals, such as ICLR, ICML, NeurIPS.
• Expertise in developing efficient and practical solutions for AI model protection.
• Good command of English, both oral and written along with the ability to communicate effectively with a wide range of individual and professional groups

We regret that only shortlisted candidates will be notified.

Responsibilities

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance sponsorship of a visa.

About Doubao (Seed)

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

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

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

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About The Team

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

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

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

Responsibilities

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

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

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

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

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

Qualifications

Minimum Qualifications

1. Hold a Ph.D. degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

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

5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Preferred Qualifications

1. Familiar with large model training and RL algorithms;

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

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

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

If you have any questions, please reach out to us at [email protected]

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• The Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

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 Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

10 years to 15 years

Responsibilities:

• You will be working with survey data, public datasets (e.g., census data), or experimental data.

• Responsible for cleaning data, handling missing values, filtering data, and dealing with outliers, which is essential in any research context.

• You may need to merge or join different datasets, and KNIME has nodes for combining data from multiple sources like Excel, CSV, databases, or APIs.

• Use KNIME compute basic descriptive statistics like means, medians, standard deviations, and percentiles.

• Visualize distributions, histograms, boxplots, and scatter plots to help you identify trends or anomalies in the data using Knime.

• You should correlation matrices or pair plots to examine the relationships between variables in your social research dataset.

• T-tests, ANOVA, Chi-square Tests For hypothesis testing, you can run statistical tests to compare groups or associations

• Use KNIME for linear regression, logistic regression, or multivariate analysis to study relationships between variables.

• Analyze complex survey data with many variables, factor analysis or PCA can reduce dimensionality and identify key underlying factors.

• Use KNIME for structural equation modeling (SEM), which is commonly used in social research for understanding relationships between observed and latent variables.

• Integrate geospatial data processing to visualize and analyze spatial patterns.

• Connect KNIME with GIS tools (like QGIS) to map trends and perform geospatial analysis.

• Using KNIME drag-and-drop interface for training and testing machine learning models.

• Leverage KNIME’s integration with tools like Tableau or Power BI for storytelling and sharing insights with stakeholders or a non-technical audience.

• Import survey data from CSV files or a database.

Key Skills Required:

• Building workflows using KNIME Analytics Platform

• Use KNIME Nodes For various tasks, such as data input/output, data cleaning, statistics, machine learning, etc.

• Integrates KNIME with Python and R for further analysis.

• Use KNIME’s reporting tools or integrate it with external tools for advanced reporting and dashboards.

• Additional Knowledge Areas:

• Survey Design & Sampling: Understanding how to design surveys, sample populations, and handle biases in data.

• Social Science Theories: Knowledge of theoretical frameworks that guide quantitative research in the social sciences, like social stratification, political behavior, or economics.

• Data Ethics & Privacy: Awareness of ethical considerations in social research, especially regarding sensitive data.

• Familiarity with scripting and data collection platforms WinCATI, Sensus and Forsta is must.

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

EVO Outsourcing Solutions Pte. Ltd

• RCB No. 202233837K

• The Senior Research Associate will coordinate, plan, and perform routine and non-routine activities in the cell bioassay department in accordance with pertinent guidelines and highest scientific standards. The activities include the development of cell based assays and methods, the maintenance of in vitro test systems, resource monitoring, and the execution of experiments in accordance with Good Laboratory Practices.
• This role will be part of a team where he will have to work jointly with operators having different levels of expertise. Communication, proactiveness, and self-management will be essential in order to deliver functional execution of in vitro studies on time and on budget whilst ensuring compliance with pertinent guidelines and scientific standards.
• The senior research associate will also support the in vivo department by performing clinical pathology analysis.

Responsibilities

• Implement, perform and develop experimental methods and techniques based on company needs. Ensure the established methods/techniques meet the company scientific standards, act as the primary subject matter expert in these techniques. Ensure the developed method are maintained to date by tracking advances in the field. Supervise/train staff in experimental techniques/technology systems related to the lab.
• Plan and coordinate activities on clearly defined programs, track progress in relation to timelines/ timetable. Coordinate daily work planning within Cell Bioassays team and to organize the practical aspects of additional measurements in the study. Being point of contact for study-related matters, to coordinate and participate in several study-based activities within own team and participate in resource monitoring and scheduling.
• Produce quality results within the required time frame, as well as analyze study related data/reports by applying scientific and technical principles and draw basic conclusions. Review routine data, monitor and escalate deviations. To lead in determining root cause of unusual findings and provide CAPA (Corrective and Preventive Actions).
• ·Support the in vivo department by performing clinical pathology analysis. It includes the testing of sample chemistry, hematological assessment, and various other assays.

Requirement

• Min Diploma with > 2 years' experience (eg, experience with cell biology and molecular biology methods like flow cytometry, ELISA

Up to $4.6K

office hours

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

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)