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

Professor Rachel Zhang and Jean Zeng are seeking a qualified Research Assistant to support data-driven academic projects. Responsibilities include data collection, cleaning, aggregation, advanced econometric analysis, and assisting with research papers and reports. Candidates must have a master’s degree in Economics, Statistics, Data Science, or a related field, with strong coding skills (Python, R, or Stata) and expertise in econometric methods. Prior experience in research, statistical modeling, and data visualization is preferred. To apply, send a cover letter, CV, and a sample of your coding or analysis work.

The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of the research will be the early identification of new pathogens, out of which new diagnostic tests, treatments and control strategies will be developed.

We are looking for a talented Research Fellow to study the short and long term outcomes of the host transcriptional/epigenetic response to respiratory viral infection. The selected candidate will perform a variety of research activities, which include planning, organising and conducting research studies within the overall scope of a research project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following:

• Independently carry out the design and execution of innovative research aimed at understanding the host epigenome/transcriptome during Influenza A viral infection.
• Collaborate with team members on related projects in the laboratory.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for research that could have a considerable influence and impact on the relevant field.
• Provide support for external grant and protocol development, study design and management of research activities.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Molecular Biology, Virology, Genetics, Immunology, Stem Cell Biology or other related biomedical fields.
• Prior experience with bioinformatics, biostatistics, next generation sequencing technologies and/or stem cell biology would be advantageous.
• Experience with animal work (rodents) would also be an advantage.
• Demonstrate excellent quantitative, analytical and organisational skills.
• Possess interpersonal communications skills with excellent written and oral communications.
• A strong team player who is open-minded, independent, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

Salary and benefits will commensurate with educational qualifications and working experience.

We regret that only shortlisted candidates will be notified.

Research Associate - Aerosol (Equipment/ Laboratory)

Our client is a GLP-compliant and AAALAC accredited, preclinical CRO based in Singapore. They offer a range of preclinical services, from GLP toxicology safety assessments, aerosol generation and delivery to research support services to help achieve research goals. We are currently looking for a Research Associate – Aerosol to support the operations.

More information

• Location: Central
• 5 Days Work
• Up to $4000 depending on experience

Job Summary

• Develop aerosol systems and processes towards enabling business needs in accordance with stipulated requirements (e.g. GLP, ISO, EHS&S)

Responsibilities

• Support and execute the following activities in accordance with stipulated regulations:inhalation system setup
  test item management
  operation and maintenance
  system qualification
  aerosol generation and characterization
  data review and compilation
  
• Support the implementation of technical alternatives and improvements for aerosol characterization, aerosol systems and processes.
• Support the data analysis, troubleshooting, root cause determination, and implementation of changes to achieve aerosol quality and compliance with stipulated
• Conform to standard operating procedures in accordance with stipulated regulations.
• Support the execution of Capital Expenditure projects to achieve business continuity and advancement.
• Support the maintenance of equipment and to ensure the availability of laboratory supplies
• Ensure proper upkeep of the laboratory

Requirement

• Diploma in Science or Engineering fields
• At least Diploma in equipment, process, aerosol engineering or other relevant engineering/ science fields or 1 year of relevant experience.
• Proficient in MS word, Excel, PowerPoint.

Lim Pey Chyi (Apple) - [email protected]

Recruitment Consultant (R2090579)

Manpower Staffing Services (S) Pte Ltd

EA Licence: 02C3423

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Fellow will work closely with the Principal Investigator (PI) on theories and applications of learning-based control. The project will investigate and develop both deep reinforcement learning algorithms and conventional robust adaptive control methods, to develop safety-critical learning-based control algorithms that leverage the advantages of both model-based and model-free methods. In particular, the developed algorithms will be demonstrated through robust control of drones.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates will be responsible for conducting theoretical research and algorithm development. The candidates are expected to help the PI supervise junior PhD students as well.

The candidates should have a Ph.D. degree from a reputable university, with expertise in robust adaptive control, reinforcement learning theory, collision-avoidance trajectory optimization, etc.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, optimization, etc.). Strong publication records in leading journals and conferences are required.

Qualifications

• Possess a Ph.D. Degree in either Electrical Engineering or strictly related (e.g., Mathematics, Computer, Communication, Mechanical, or Information Engineering).
• Have substantial research experiences in robust adaptive control, reinforcement learning, learning-based control, model predictive control, etc.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and doctoral studies.
• Strong publication records in leading journals and conferences are highly valued
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of reinforcement learning and control for robotics applications.
• Activity performed in world-class research environments is highly valued.

Responsibilities:

• Conduct both quantitative and qualitative (e.g., focus group moderation) research to understand social trends and public opinion
• Oversee research projects from inception to delivery, and coordinate research activities (e.g., project management, data analysis, design questionnaires and discussion guides, respondent recruitment, managing respondents) amongst cross-functional teams to ensure timely and impactful insights
• Assist with managing client queries, expectations and relationships
• Manage accounts and contribute to sale pitch to potential clients
• Create highly actionable and digestible reports in PowerPoint
• Present results of study confidently to external clients across working levels
• Assist teammates in administrative tasks and operations, when required
• Any other tasks as may be assigned by Head of Department

Requirements

• Minimum Bachelor (in Social Sciences / Mathematics / Business / Engineering / numerical fields)
• Versatile individual with a keen interest to pick up complimentary research skillsets
• Strong qualitative and data analytical skills required
• 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. is preferred
• Prior experience from Market Research industry will be an advantage

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

Job Description

• Industry/ Organization Type: Chemical Manufacturing
• Position Title: Research Officer (R&D)
• Working Location: Central
• Working Hours: Monday to Friday (8.45 AM – 5.30 PM)
• Salary Package: Basic Salary up to $3,800 + AWS + Bonus + Transport Allowance + Flexible Benefits
• Duration: Contract (3 years – Renewable)

Key Responsibilities

• Develop new technologies for molecular and immunological assays.
• Integrate assays into prototype medical devices.
• Handle ordering and payment using the SAP system.
• Ensure that all assays and processes meet stringent quality standards and regulatory requirements.
• Analyze experimental data to draw meaningful conclusions and make recommendations for further research.
• Work closely with cross-functional teams, including R&D, production, and quality assurance, to ensure seamless integration of new technologies.
• Adhere to all safety protocols and guidelines to maintain a safe and compliant work environment.
• Identify areas for process improvement and implement changes to enhance efficiency and effectiveness.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Bachelor’s Degree in Life Sciences, Microbiology, Molecular Biology or relevant discipline
• At least 1 year of relevant research or laboratory R&D experience
• Experience in assay development is an added advantage

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #68611 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

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 a Research Assistant in the Department of Medicine, Yong Loo Lin School of Medicine.

Main duties and responsibilities

The Research Assistant will be responsible to, and work closely with, the Principal Investigator (PI) and his study team to successfully deliver research outcomes in the areas of ageing, stroke and cardiovascular diseases.

Familiarity and experience with molecular, cell biology, staining, advanced microscopy techniques, and computational analytical methods will be considered favorably.

Preference will be given to candidates who are able to analyse omics data and with familiarity with statistical softwares including SPSS or R.

Responsibilities also include the day to day management of laboratory operations such as procurement, preventive maintenance of equipment and laboratory safety.

Qualifications

The applicant should:

1. Have a good degree in life sciences, biomedical sciences, biochemistry, or equivalent from a well-recognized university, with a minimum of 2 years experience.
2. Able to work independently and in a team, and must have good interpersonal and communication skills
3. Possess good organizational skills
4. Have knowledge of common computer applications, e.g. MS office, PowerPoint, Excel, SPSS, “R”, Stata etc

Appointments will be made on a yearly contract basis with the possibility of extension.

Remuneration will be commensurate with the candidate’s qualifications and experience.

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 the position of Research Assistant in the Department of Computer Science, School of Computing. The School of Computing 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 one or more research projects. He/she should possess experience or interest in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research
• Excellent programming skills

Job Description & Requirements

Fulltime Senior Security Officer

Salary Offer: S$3,000.00 per calendar month

• Cairnhil Rice (Dayshift )
• Dunman(Day shift)
• Sentosa ( Day and Night shift)

Fulltime Security Officer

• Tampines Central (Day & Night Shift) Salary Offer: S$2,900.00 per calendar month

Fulltime Floater Security Officer

Salary Offer: S$3,000.00 per calendar month

Location: Islandwide

Job Description & Requirements

• Can work in Residential or Condo
• Can Perform Security Screening
• Patrolling and guarding
• Access and egress control
• Incident response
• Able to Respond to emergencies/incidents and accidents at the site
• Conduct security audits and risk assessment
• Familiar with PWM Job Function
• Must have RTT Certificate
• Able to work 12 hours per shift
• Able to speak in English (plus point if can speak Mandarin)
• must have one (1) Notification Available under PLRD
• must be Fully Vaccinated

For more information:

For Interested Applicant, you may call

6396-7371 / 8321-8096 / 8797-8615

You may also visit us at

200 Jalan Sultan #11-04 Textile Centre Singapore 199018

The Human Resources Officer/Senior Officer reports to the Manager, Human Resources Branch. Based at the DAS Head Office in Jurong Point, he/ she will provide operational and administrative support for the Human Resources Branch.

The Human Resources Officer/Senior Officer performs a variety of tasks related to Human Resources including but not limited to:

• Assisting the HR Manager in identifying and developing policy and procedure updates/amendments in conjunction with best practice and local legislation
• Analyzing trends in compensation and benefits; researches and proposes competitive base and incentive pay programs to ensure the organization attracts and retains talent
• Review monthly payroll computations and reconciliations
• Managing and coordinating end to end recruitment process
• Handling staff onboarding and off boarding process
• Following up on staff confirmation
• Monitoring and following up on staff contracts, including re-employment
• Monitoring work pass expiry and submitting work pass application and renewal
• Managing student internships and teacher attachments
• Maintain employee data, records, and reports for HR projects and initiatives
• Monitoring MOE Instructor Registration applications and renewals
• Performing other duties as assigned

Requirements:

• Polytechnic diploma / Degree holder
• Candidates with relevant experience in Human Resource will have an advantage
• Knowledge of Employment Act
• Knowledge of Human Resource system
• Interpersonal skills, able to interact with all levels of staff
• Communication skills
• Accountability, ability to meet tight deadlines
• Good team player
• Ability to multi-task and adapt to changing work environment
• Ability to accept last minute changes in task assignment and/or arrangement
• Have good documentation practice
• Microsoft Office (basic)
• Online meeting platforms such as Zoom, Google meet etc
• Human Resource system

Applications details

All interested applicants are to submit the following as part of their application

1. DAS Employment Application Form, duly completed (form can be downloaded from the Careers page of our website)
2. Resume

Email the above submissions to [email protected] by 13 December 2024.

Due to the high volume of applications, only shortlisted candidates will be contacted for the next stage of the selection process. If you do not hear from us within two weeks of the application closing date, unfortunately, your application has not been successful. We appreciate your interest in the position.

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 Assoc Prof Quek Su Ying on excitonic properties of layered materials under a project on Materials for Room Temperature Exciton Condensates: From Database to Laboratories.

The main responsibilities of the position include:

Using an electrostatic model combined with first principles calculations to compute the excitonic properties of selected layered materials with thicker layers.

Qualifications

• Qualifications / Discipline: Physics (PhD)
• Skills: First principles calculations, modelling
• Experience: Experience with first principles calculations in layered materials

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

• Support full spectrum finance duties, including but not limited to procurement, payments, accounts receivables in line with hosting institutions and grantor guidelines
• Provide grant management administration, such as grant claims, progress report’s financial reporting and other grant variation request.
• Provide administrative support, such as assets management, filing, phone enquiries, mails collections, stationery orders, etc
• Provide finance and administrative support for Annual Scientific Meeting and assist in pre and post event activities
• Assist in other finance or administrative functions as and when required by team

Qualifications

Degree in Administration, Accounting or Finance, and minimum 2 years of work experiences

• Positive working attitude, proactive and willing to learn
• Good organization and communication skills
• Experience in SAP HANA, Ariba
• Good knowledge of Microsoft Office application like Excel, Word, Teams, DocuSign and online communication application is an added advantage

As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software

Overview*

The candidate will support innovation and technology projects under ARCHIVE and Healthcare Redesign. He/She will be working on projects applying Artificial Intelligence and Machine Learning (AI/ML) to develop advanced tools for speech therapy. This role involves collaboration with a dynamic team of researchers from NUS School of Computing and clinical experts to design, develop, and evaluate AI-driven models and applications aimed at enhancing speech therapy delivery process.

Job Responsibilities*

You will be responsible for the following:

1. Organize existing relevant speech datasets as well as newly collected speech datasets

2. Write python scripts for data loading, training speech recognition models and inference

3. Develop a web interface for real-time access of the trained model

4. Participate in testing and validation of developed technologies in clinical settings to ensure efficacy and safety

5. Contribute to writing scientific papers, report and grant proposals.

6. Support project team in daily administrative tasks and project management and project management activities.

Requirements*

• Bachelor or Master’s degree in Computer Science or related field
• Proficient in neural networks frameworks such as pytorch
• Preferably experienced in automatic speech recognition topics
• Speech or Audio research experience, with publication submissions for relevant conferences such as ICASSP or Interspeech.
• Good verbal and written communication skills
• Ability to work collaboratively in a multidisciplinary team environment
• Prior exposure to or interest in healthcare and clinical applications is highly desirable

As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software

Our client is an asset management firm with an AUM of 1.5 bill equity fund. They provide good

employee benefits and company culture.

Location: Singapore

Department: Invest - Equity

Reporting to: Portfolio Manager - Equities

Reporting to the Portfolio Manager – Investments Equity. The incumbent is responsible for producing quality investment ideas and covering portfolio companies. Assisting the Portfolio Manager in managing portfolio in his absence. Overseeing all the trading activities for the Equity portfolio on a daily basis while assisting the fixed income trading when the Fixed Income PM is on Compliance leave.

Job Description

• Conduct research and suggest companies for investment from the allocated industries and any other investable company.
• Provide investment materials on companies and keeping track of companies and industries.
• Understand companies positioning, business potential, possible threats etc for recommendation for investment ideas and buy / sell decisions.
• Evaluate solid businesses / companies eligible for re-rating.
• Managing communication of investment philosophy, and match investor expectation by beating the market
• Oversee the portfolio under the guidance of Portfolio Manager where they deem necessary.
• Ensure compliance to investment rules
• Implementing the trades on a regular basis as per the requirements of the portfolio using the system
• Assist to reply to investor queries related to the portfolio/Macro
• Preparing investor reporting material wherever required for different funds Monthly, Quarterly and adhoc
• Preparing internal presentation for fund discussions

Role Competencies

• Mid Cap exposure or people with stock specific expertise.
• Able to grasp concepts readily
• Deep understanding of equity investment processes, capital markets, companies & sectors.
• Strong analytical and quantitative skills.
• Able to provide first class services that includes asset allocation, fund portfolio construction for investments, backed up with adequate research.
• A good and focused team player
• Able to prepare and organize research materials in the form of a report logically as well as in the form of a presentation that is readily understood by the reader.
• Knowledgeable with internet & high value information resources like Bloomberg, Thompson research etc. will be an added advantage.
• Some knowledge of trading and the systems used for the same
• Some knowledge of portfolio level allocation

Requirements

• CA / MBA or post-graduate degree in Finance/Economics, with 6-10 years of experience in Analysing Indian Equities
• Able to meet MAS licensing and Fit and Proper requirements in respect of regulated Fund Management activities
• Conceptual Clarity.
• Strong analytical and quantitative skills.
• Highly motivated, dynamic, hardworking and eager to succeed.

About Us:

Are you passionate about contributing to groundbreaking research projects that advance medical knowledge and improve patient care? Join our team as a Clinical Research Coordinator/Assistant and play a pivotal role in the development and execution of innovative research initiatives. We offer opportunities for individuals with a science-related background to be involved in various aspects of clinical research, from project development to data analysis and publication.

Job Scopes:

• Provide administrative and logistical support to the Principal Investigator in the development and execution of research projects, ensuring smooth project management and compliance with regulatory requirements.
• Conduct literature searches and synthesize research findings to inform the design and implementation of research studies.
• Perform data collation, cleaning, analysis, and presentation of findings to stakeholders, contributing to the generation of valuable insights and conclusions.
• Collaborate with the research team in developing publication and communication plans, preparing posters and slides for presentations, and drafting abstracts and manuscripts for publication in scientific journals.
• Handle other ad hoc duties as required to support the efficient operation of the research team and project success.

Job Requirements:

• Minimum
• Degree in Science or related fields from a recognized institution.

Join Our Team:

If you're looking for an opportunity to be part of cutting-edge research projects and make a meaningful impact on healthcare, we invite you to join our team as a Clinical Research Coordinator/Assistant. Be part of a dynamic team dedicated to advancing scientific knowledge and improving patient outcomes.

How to Apply:

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button

** We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

“ JOBSTUDIO WILL NOT SOLICT ANY MONEY , REQUEST TO USE YOUR BANK ACCOUNT FOR BUSINESS OR REQUEST YOU TO TRANSFER ANY MONIES TO ANY PARTIES , PLEASE BE AWARE OF SCAMS IMPERSONATING JOBSTUDIO AND OUR EMPLOYEES , YOU MAY CALL OUR OFFICE DIRECTLY AT 64221390 FOR VERIFICATION. WE WILL NOT BE LIABLE FOR LOSS ARISING FROM SCAMS.”

JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel: Hoh Mei Ling

EA Personnel Reg No: R21103150

Responsibilities

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

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

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

Why Join Us

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

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore large-scale/ultra-large-scale visual models and perform system optimization. Data construction, instruction fine-tuning, preference alignment, model optimization.

- Conduct cutting-edge research and development in computer vision, natural language processing, machine learning and general artificial intelligence, especially in the areas of multi-modality, vision and language, etc.

- Publish our latest research results, and help to build our brand in the research community.

- Explore vision/multi-modality application models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Possess research and practical experience in one or more areas of computer vision, encompassing multi-modal understanding, vision-language models (e.g., video captioning, VQA, Text-to-video retrieval, and other related topics), large-scale training, RLHF, multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks.

- At least 3 years of working experience in research or with relevant working experiences;

- Experience with vision-language models and apply them in various downstream tasks.

- Possess coding skills in C/C++ and Python.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Work with large-scale datasets, and build large-scale datasets to scale up foundation models.

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow in Carbon-Negative Synthetic Biology and Engineering of Cyanobacterial Cell Factories

We are seeking one or more highly motivated and creative postdoctoral researchers to join our dynamic team at the Synthetic Biology for Clinical and Technological Innovation (SynCTI), Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS) and the National Centre for Engineering Biology (NCEB).

The selected candidate(s) will be part of an interdisciplinary collaboration across various research groups. Appointments will be initially made on a 1-year contract, with the possibility of extension. We welcome applications from PhD holders, including those without prior experience.

Ideal candidates will possess expertise in cyanobacteria engineering and the development of cell factories for bioproduction. We particularly encourage applicants with a background in carbon-negative synthetic biology and biochemical production from CO2. The successful candidate(s) will closely collaborate with Prof. Jee Loon Foo, Prof. Julius Fredens, and our research team to advance the frontier of synthetic biology in addressing real-world challenges.

Join us in shaping the future of innovative biotechnology and making significant progress towards sustainability and technological advancement!

Main Duties and Responsibilities

The Research Fellow is expected to:

1. Manage and drive one or more research projects, design and execute experiments, assimilate and interpret results;
2. Solve scientific problems, think independently, and suggest creative solutions;
3. Write papers together with the PI for publication in high-impact journals;
4. Mentor graduate and undergraduate students.

Qualifications

The applicant should:

• Hold a PhD degree in molecular biology, bioengineering, or a related field;
• Have experience conducting research with cyanobacteria and extensive knowledge and hands-on experience with general molecular biology. Experience with genome engineering, general microbiology, and metabolite analysis is favourable;
• Have a strong record of publications in international journals;
• Be able to work independently and in a team, have an investigative nature, and be attentive to details;
• Be passionate about science, self-motivated, naturally take ownership of assignments, and proactively propose solutions to arising obstacles.

Application

Formal application: Please submit your application of (1) letter of motivation describing the applicant's research interests and relevant experience; and (2) full CV (up to two pages) including personal particulars, academic and employment history, complete list of publications, and contact of 2 referees by 30 May 2024.

Application

Remuneration will be commensurate with the candidate's qualifications and experience. Appointments will be on a 1-year contract in the first instance, with the possibility of extension. Those with no experience are encouraged to apply.

Informal enquiries are welcome and should be made to Asst. Prof. Julius Fredens ([email protected]). Website: https://syncti.org/

Job Description

Chronic unresolved inflammation is a key pathogenic feature of prevalent inflammatory disorders and related syndromes that together are predicted to affect close to 60 million people with an annual cost of $90B. As such, the global anti-inflammatory therapeutic market is in urgent need for new targets for therapeutic intervention.

The Ho lab at Duke-NUS is building a platform to mine the human genome for novel determinants of the inflammatory response. We are seeking an experienced researcher who will participate and drive the execution of this platform in collaboration with other senior members of the team. The selected candidate will be expected to work at the bench as well as manage some aspects of the project such as administration of documentation required for smooth operations. Successful completion of the project will lead to opportunities for transition to industry roles. Candidates with strong technical ability and expertise in inflammation biology, and who are interested in taking discoveries from the lab through to commercialization are strongly encouraged to apply.

• Perform tasks and support all aspects of the research project.
• Cell culture and basic molecular biology (western blotting, PCR).
• Preparation of samples for NGS and proteomics analyses.
• Liaise with stakeholders including investors and grantors through regular meetings.
• Responsible for procurement related to the project such as vendor management, purchasing of laboratory supplies.
• Regulatory paperwork pertaining to the project (IRBs).
• Perform other related duties incidental to the work described therein.

Job Requirements

• Master’s Degree in Biology or related discipline. Candidates with PhD will be considered for Research Fellow appointment.
• At least 5 years of work experience in lab-based research.
• Track record of scientific output in inflammation biology (research publications).
• Demonstrated experience in molecular biology and cell culture.
• Experienced in project management and stakeholder management, and able to undertake independent research progressively.

We regret that only shortlisted candidates will be notified.

Responsibilities

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

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

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

Why Join Us

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

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore large-scale/ultra-large-scale visual models and perform system optimization. Data construction, instruction fine-tuning, preference alignment, model optimization.

- Conduct cutting-edge research and development in computer vision, natural language processing, machine learning and general artificial intelligence, especially in the areas of multi-modality, vision and language, etc.

- Publish our latest research results, and help to build our brand in the research community.

- Explore vision/multi-modality application models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Possess research and practical experience in one or more areas of computer vision, encompassing multi-modal understanding, vision-language models (e.g., video captioning, VQA, Text-to-video retrieval, and other related topics), large-scale training, RLHF, multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks.

- Experience with vision-language models and apply them in various downstream tasks.

- Possess coding skills in C/C++ and Python.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Work with large-scale datasets, and build large-scale datasets to scale up foundation models.

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

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.

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Signature Research Programme in Health Services and Systems Research (HSSR) at Duke-NUS is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’ s focus is on public health and clinical service innovation in an increasingly complex and connected world.

The selected candidate will work with a health economics team providing qualitative research method support to various research activities. They will be required to conduct interviews, focus groups and relevant qualitative analysis, mainly with patient groups, clinicians and healthcare stakeholders. The activities will be relevant to the evaluation of healthcare interventions and care models, including but not limited to:

• Interview clinicians and patient groups
• Manage protocols development for research projects and IRB applications.
• Develop interview guides, plan and conduct all relevant qualitative data collection activities.
• Use appropriate software to collect, manage and analyse qualitative data.
• Manage transcribing activities.
• Conduct literature reviews to find information for new research ideas.
• Assist in the preparation of evaluation reports for the health economics team.
• Extract data from existing databases and published literature.
• Manage projects from start to end with guidance (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform analysis and engage and collaborate with various stakeholders).
• Assist in drafting research abstracts and manuscripts.
• Assist in the preparation of PowerPoint presentations to various stakeholders.
• Support the secretariat and administrative functions of the health economics team.

Job Requirements:

• Bachelor’s or Master’s Degree in Public Health or other related fields.
• Minimum 1 year of working experience in Singapore’s healthcare setting
• Have experience with Singapore’s IRB applications
• Adept at collecting and working with qualitative data.
• Prior experience in various qualitative research methods and health services-related research will be advantageous.
• Proficiency with NVivo would also be an advantage.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work independently with limited supervision and in a team, with dynamic reporting lines and multiple stakeholders.
• Action-oriented, highly motivated, and target-focused.

We regret that only shortlisted candidates will be notified.

Job Description

The Duke-NUS Laboratory for Translational and Molecular Imaging (LTMI), Duke-NUS Medical School, is recruiting a Research Fellow/Senior Research Fellow specialising in Nuclear Imaging within the Immuno-Oncology domain.

The successful candidate will lead pre-clinical imaging efforts to validate novel imaging probes that target immune cell biomarkers. He/She will be responsible for the strategic planning, execution and communication of research. Candidates with strong records of scientific accomplishment in radiopharmaceutical sciences, immunology or related disciplines are encouraged to apply.

• Lead development of nude, syngeneic, and humanised mouse tumour models, with characterisation of immunophenotype with treatment response
• Collaborate on in vivo imaging strategies for pre-clinical characterisation of targeting probe specificity and sensitivity with PET/CT, SPECT/CT and/or optical imaging
• Monitor immune response to immunotherapies with longitudinal imaging assessments, supported with IHC, FACS
• Ensure regulatory compliance of research, including legal and ethical requirements
• Ensure timely reporting and presentation of study results to the team, and making appropriate decisions on data obtained from imaging studies
• Write and review research papers, and present at local and international conferences
• Provide guidance and mentorship to junior researchers, graduate and/or undergraduate students
• Demonstrate effective organisation/project management abilities to efficiently manage time and work activities

Job Requirements

• PhD in Immunology/Radiopharmaceutical Sciences or related disciplines
• Experience in multimodality imaging and image analysis (including PET, SPECT, CT and fluorescence) within the immuno-oncology domain is preferred
• Background in molecular biology, cell biology and oncology
• Experience in mouse studies (injection, anatomy, necropsy, pathology) is an advantage
• Proven track record of academic publications, including writing/drafting first author papers
• Self-motivated individual, enthusiastic to take initiatives, as well as able to work independently and collaboratively in a team
• Demonstrate excellent communication, technical independence, analytical and problem solving skills
• Enjoy team-work and collaboration

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

The Institute of Operations Research and Analytics (IORA) is seeking a dedicated and skilled Research Engineer to support our research projects focused on the implementation and analysis of machine learning (ML) algorithms. The successful candidate will be instrumental in providing coding expertise, data management, and analytical support to a range of projects in operations research and analytics.

This is an excellent opportunity for recent graduates passionate about applying their technical skills to real-world problems, particularly in the field of machine learning and data analytics.

Key Responsibilities

• Coding and Implementation: Develop and implement machine learning algorithms and models to support IORA’s ongoing and new research projects.
• Data Analysis: Conduct data processing, exploration, and visualization, delivering insights that guide research conclusions.
• Model Evaluation: Collaborate with researchers to evaluate model performance, optimizing algorithms for robustness and efficiency.
• Documentation: Ensure thorough documentation of code, data pipelines, and research findings to facilitate reproducibility and project continuity.
• Collaboration: Work closely with research teams to understand project objectives, gather requirements, and provide technical support in the form of coding and data analysis.
• Maintenance and Troubleshooting: Manage and troubleshoot issues in codebases and data pipelines as they arise, ensuring smooth and efficient project progress.

Requirements

• Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or related field.
• Programming Skills: Proficiency in Python (preferred) or R, with experience in relevant libraries for ML and data processing (e.g., Scikit-Learn, Pandas, TensorFlow, PyTorch).
• Data Management: Familiarity with data extraction, cleaning, and preprocessing methods; experience with SQL or other database management tools is a plus.
• Machine Learning Knowledge: Understanding of machine learning fundamentals, including supervised and unsupervised learning, model selection, and evaluation techniques.
• Analytical Mindset: Strong analytical and problem-solving skills with attention to detail in data analysis and algorithm implementation.
• Team Collaboration: Ability to work collaboratively within a research environment, with effective communication skills to convey technical information clearly.

Preferred Experience

• Experience with version control systems, such as Git.
• Prior research experience or involvement in machine learning or data science projects is advantageous.
• Exposure to cloud computing platforms like AWS or GCP for ML model deployment (optional but a plus).

How to Apply

Interested applicants should submit their resume, a cover letter detailing their interest in the role, and any relevant project portfolios or coding samples that demonstrate their experience with ML and data analysis.

About VIAVI Solutions

VIAVI (NASDAQ: VIAV) is a global provider of network test, monitoring and assurance solutions for telecommunications, cloud, enterprises, first responders, military, aerospace, and railway. VIAVI is also a leader in light management technologies for 3D sensing, anti-counterfeiting, consumer electronics, industrial, automotive, government and aerospace applications.

We are the people behind the products that help keep the world connected at home, school, work, at play, and everywhere in between. VIAVI employees are passionate about supporting customer success and we welcome people who bring their best every day to the company - to question, to collaborate and to push for solutions that will delight our customers.

Role: PQC Research Engineer

Location: Singapore

Summary

We are looking for a highly skilled and motivated Research Engineer specializing in Post-Quantum Cryptography and AI technologies to join our advanced research team. The ideal candidate will have a strong foundation in mathematics, software development, and communication systems. The candidate will focus on designing, analyzing, and validating cryptographic solutions that remain secure against quantum computing threats, contributing to the future of secure digital communication.

Major Responsibilities

· Research and Development:

-Conduct cutting-edge research on post-quantum cryptographic algorithms.

-Investigate potential weaknesses in current cryptographic standards and help develop quantum-resistant algorithms.

-Design cryptographic protocols that ensure security and efficiency in a post-quantum world.

-Investigate and design adoption of AI technology.

· Mathematical Modeling:

- Develop mathematical models and theoretical frameworks for post-quantum cryptosystems.

-Conduct performance analysis and benchmark new cryptographic algorithms for robustness and scalability.

· Software Development:

-Implement and optimize post-quantum cryptographic algorithms in software, using programming languages such as Python, C, C++, or Rust.

-Work with existing cryptographic libraries and frameworks (e.g., OpenSSL, Liboqs) to integrate quantum-safe algorithms.

-Collaborate with software development teams to ensure secure integration of quantum- resistant cryptosystems into applications.

· Security Protocols & Systems:

-Design and test quantum-resistant security protocols for networks, cloud services, and distributed systems.

-Develop key exchange and digital signature algorithms that are secure in the quantum era.

-Explore hybrid cryptography solutions that combine classical and post-quantum techniques for immediate use.

· Collaboration andPublication:

-Work closely with interdisciplinary teams of researchers, cryptographers, and engineers to tackle the challenges of post-quantum cryptography.

-Publish research results in top-tier journals and conferences, and present findings to both technical and non-technical audiences.

· Prototyping andTesting:

-Design and implement proof-of-concept cryptographic systems for practical applications.

-Perform experimental testing to evaluate the performance, security, and efficiency of post- quantum cryptographic methods.

· Stay Updated:

-Keep abreast of the latest developments in quantum computing, cryptography, and related fields.

-Contribute to the company's post-quantum cryptography roadmap and long-term strategy.

Required Qualifications:

· Master’s Degree or above in Computer Science, Mathematics, Electrical Engineering, Information Security, or a related field.

· Proficiency in mathematics, particularly in number theory, algebra, and complexity theory.

· Hands-on experience in software development using languages such as Python, C/C++, Rust, or Go.

· Familiarity with communication protocols and security architectures.

Preferred Qualifications:

· Good understanding of cryptography, including symmetric and asymmetric encryption techniques.

· Good understanding of AI technology

· Experience with post-quantum cryptographic frameworks and algorithms (e.g., NIST PQC candidates).

Skills and Competencies:

· Strong analytical and problem-solving skills.

· Ability to collaborate in a multidisciplinary research environment.

· Excellent communication skills, both written and verbal, to effectively share research insights.

· High level of attention to detail and a proactive approach to emerging security threats.

If you have what it takes to push boundaries and seize opportunities, apply to join our team today.

VIAVI Solutions is an equal opportunity and affirmative action employer - minorities / females / veterans / persons with disabilities.