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.

Job Description:

• Conduct desktop research, focused on Asia
• Conduct due diligence / compliance according to client's requirements
• Conduct mass screening and verification of records
• Thorough review of reports, news articles and library resources
• Verify information, provide business insights and generate reports according to client’s requirements
• Render general administrative support and operational work
• Help provide business insights and improve operational efficiency

Requirements:

• Candidates should possess a Diploma and above
• Strong command of English required
• Need to Bilingual in Chinese, as translation maybe required
• Interest in current affairs, business news, general knowledge
• Be Meticulous, attention to information/data
• Preferably have basic understanding of business finance/accounting
• Able to work independently, Work From Home option

Job Overview:

We are looking for a motivated Market Research Intern to assist in gathering and analysing data related to the interior design industry.

This role offers an excellent opportunity to gain hands-on experience in market research.

Key Responsibilities:

• Conduct market research on industry trends and customer

preferences.

• Assist in creating surveys and questionnaires.

• Analyse data and prepare reports.

• Stay updated on interior design trends in Singapore.

Qualifications:

• Currently pursuing or recently graduated with a degree in Marketing,

Business, or Interior Design.

• Strong analytical skills and attention to detail.

• Excellent written and verbal communication skills.

• Proficient in Microsoft Office.

URGENT

Location : Depot Road and Sembawang Road

Position : Temp Admin Staff

Contract period : 1 year

Mondays to Fridays : 8.15 am to 5.15 pm

Saturdays : Day Off

Lunch : 1 hour

Min GCE 'O' Level - S$1,733.33 per month

Job scope :

· Assist in packing, sorting, shifting of files/boxes for review and destruction.

· Document destruction – including shredding and documentation.

· Data-entry and record updating

· Digitisation and e-Filing of documents

· Ad-hoc administrative duties as assigned by supervisor

Please indicate your proficiency in Microsoft Excel categories as follows:

None: Not familiar with Microsoft Excel

Basic: Able to key in and copy data

Intermediate: Able to create formulas, perform summation, and reference cells across different tabs

Advanced: Able to work with pivot tables, macros, and scripts

Furthermore, please indicate on the form:

If you have a driving license

If you have experience in document scanning

If you meet the above, please email your resume to [email protected].

EA License No: 96C4864 Reg. No.: R1106922

Contract Period: From 1 Jan 2025 to 30 Nov 2025.

Working hours:
• Mondays to Fridays: 7.45 am to 2.00 pm, inclusive of 45 min lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

Scope of Services:

• Manage two laboratories and ensure that the equipment, tools and other materials are adequately stocked and kept in working condition.
• Carry out termly stock take
• Liaise with teachers to prepare, set up and clear up the experiments and practical demonstrations
• Assist in preparing resources for other Science related matters e.g. Science competition and eco-guardian activities
• Assist in germinating the seeds for the school’s hydroponics system
• Watering of plants on the racks near the Science laboratory
• Feeding of fish at the eco-pond and at the greenhouse at level 4

Qualification, Skill & Experience:

• Minimum Primary School qualifications
• Meticulous with good interpersonal and communication skills
• Able to work independently and troubleshoot problems
• At least 2 years of relevant work experience and familiar with safety requirements in science laboratories at Primary Schools

Salary: $5,800 - $6,500

Working hours: Monday to Friday or Tuesday to Saturday

Working Hours: 9:00am to 6:30pm, 9:30am to 7pm, 10:30am to 8pm

Office location: Woodlands Industrial Park E5, Singapore 757500

Job Description

• Acted as the primary liaison between the laboratory and clients for routine daily sample analysis.
• Organized and participated in workflow management and execution.
• Prioritization of urgent and regulatory testing.
• Recruitment of suitably qualified staff.
• Preparing advance rosters, including supervisory and signatory staff.
• Coordinating staff to meet KPIs related to turnaround times (TATs) and customer needs.
• Ensuring qualified and trained staff are available to meet TAT.
• Keep management informed of operational or productivity issues as they arise.
• Provide management with information for annual budgeting and monthly reporting, including resource usage and productivity metrics.
• Review and update laboratory procedures as needed.
• Validate and release test reports to customers.
• Train staff on test procedures, equipment operations, and laboratory protocols.
• Troubleshoot technical issues related to testing methods or equipment.
• Write and execute method or equipment validation protocols.
• Initiate or revise procedures and forms, and conduct method validations.
• Attend regular team meetings and demonstrate leadership to motivate the team.
• Ensure clarity of roles and efficient deployment of staff resources.
• Foster a culture of continuous quality improvement and actively promote staff development.
• Participate in new projects and assist in implementing business improvements.
• Ensure compliance with systems in collaboration with the Quality & Compliance Department.
• Respond promptly to customer inquiries and complaints, keeping them informed of any delays.
• Complete all internal and external audits and corrective actions as required.
• Engage in workplace safety practices to promote a safe environment.
• Oversee and participate in equipment maintenance while troubleshooting any issues that arise.
• Manage risks associated with microbiological and biomolecular analyses of wastewater samples and water matrices.
• Oversee laboratory financial planning and execution.
• Lead strategic goal planning and laboratory operation management.
• Drive capability development and perform validation of results and report issuance.
• Review and write SOPs, plan method studies, and execute proficiency testing (PT).
• Lead by example while advocating for EHS, integrity, compliance, and ethics.
• Evaluate staff performance and manage manpower and resources.
• Escalate laboratory issues and serve as a liaison between the lab and management.
• Research and spearhead operational improvement initiatives.
• Execute additional tasks as directed by the business.

Qualifications

• Educational Background in Bio/Life Sciences & Microbiology, or Bio-Tech / Bio-Molecular Education, or equivalent with 12 years related laboratry experience (Masters & PhD preferred).
• Experienced with method-related tasks, including development, verification, validation, and enhancement.
• Experience in both Micro-Biology as well as PCR and Bio-Molecular Work will be a huge advantage.
• Possesses SAC Singlas signatory for Microbiology &/or Bio-Molecular and laboratory operation and management experience.
• Minimum 6 years as a laboratory manager, including proven technical knowledge and laboratory experience.
• Experienced in audit & CAPA management skills.

Low Jia Yi R22104302

The Supreme HR Advisory Pte Ltd 14C7279

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Salary: $5,800 - $6,500

Working hours: Monday to Friday or Tuesday to Saturday

Working Hours: 9:00am to 6:30pm, 9:30am to 7pm, 10:30am to 8pm

Office location: Woodlands Industrial Park E5, Singapore 757500

Job Description

• Acted as the primary liaison between the laboratory and clients for routine daily sample analysis.
• Organized and participated in workflow management and execution.
• Prioritization of urgent and regulatory testing.
• Recruitment of suitably qualified staff.
• Preparing advance rosters, including supervisory and signatory staff.
• Coordinating staff to meet KPIs related to turnaround times (TATs) and customer needs.
• Ensuring qualified and trained staff are available to meet TAT.
• Keep management informed of operational or productivity issues as they arise.
• Provide management with information for annual budgeting and monthly reporting, including resource usage and productivity metrics.
• Review and update laboratory procedures as needed.
• Validate and release test reports to customers.
• Train staff on test procedures, equipment operations, and laboratory protocols.
• Troubleshoot technical issues related to testing methods or equipment.
• Write and execute method or equipment validation protocols.
• Initiate or revise procedures and forms, and conduct method validations.
• Attend regular team meetings and demonstrate leadership to motivate the team.
• Ensure clarity of roles and efficient deployment of staff resources.
• Foster a culture of continuous quality improvement and actively promote staff development.
• Participate in new projects and assist in implementing business improvements.
• Ensure compliance with systems in collaboration with the Quality & Compliance Department.
• Respond promptly to customer inquiries and complaints, keeping them informed of any delays.
• Complete all internal and external audits and corrective actions as required.
• Engage in workplace safety practices to promote a safe environment.
• Oversee and participate in equipment maintenance while troubleshooting any issues that arise.
• Manage risks associated with microbiological and biomolecular analyses of wastewater samples and water matrices.
• Oversee laboratory financial planning and execution.
• Lead strategic goal planning and laboratory operation management.
• Drive capability development and perform validation of results and report issuance.
• Review and write SOPs, plan method studies, and execute proficiency testing (PT).
• Lead by example while advocating for EHS, integrity, compliance, and ethics.
• Evaluate staff performance and manage manpower and resources.
• Escalate laboratory issues and serve as a liaison between the lab and management.
• Research and spearhead operational improvement initiatives.
• Execute additional tasks as directed by the business.

Qualifications

• Educational Background in Bio/Life Sciences & Microbiology, or Bio-Tech / Bio-Molecular Education, or equivalent with 12 years related laboratry experience (Masters & PhD preferred).
• Experienced with method-related tasks, including development, verification, validation, and enhancement.
• Experience in both Micro-Biology as well as PCR and Bio-Molecular Work will be a huge advantage.
• Possesses SAC Singlas signatory for Microbiology &/or Bio-Molecular and laboratory operation and management experience.
• Minimum 6 years as a laboratory manager, including proven technical knowledge and laboratory experience.
• Experienced in audit & CAPA management skills.

WhatsApp: +65 9837 8400

Lim Jun Yao Reg No.: R1989028

The Supreme HR Advisory Pte Ltd EA No.: 14C7279

Position: Sales Administrator (ECS)

Location: Henderson Rd

Working Time: Mon -Thurs (in office), Friday (WFH) - 8.30am - 5.15pm

Salary: $3200 - $3900

REPORTING LINE: Sales Director of Electrical Connectors Division

PURPOSE OF THE POSITION: You work as part of an office-based admin support to the ECS team of 4 sales engineers/director; coordinating between the sales team with customer/prospect visits, calls and e-mail.

• Provide support to Outdoor Sales Team on quotations and proposals
• Manage and follow-up tele-enquiries, email-enquiries
• Handling of incoming calls and collections
• Process of sales orders and ensure orders fulfilment
• Coordinating all deliveries to ensure efficient and effective services to the customers
• Create and maintain both inventory and customer databases
• Conduct mass mailing and tele-marketing periodically
• Assist in organizing exhibitions and seminars as and when needed
• Manage samples, catalogues and flyers
• Any other ad-hoc duties which may be assigned to you from time to time

Skills & Qualifications

• Diploma or equivalent
• Minimum of 3 years experiences in sales admin support
• Proficient in computer knowledge (Microsoft Office)
• Experience in SAP System will be advantage, Training Provided for SAP

✅The Supreme HR Advisory Pte Ltd EA No: 14C7279

✅SAMUEL SIAW Reg No: R24124745

A Corp Lab in NTU is looking for a Research Engineer I or II to work on Large Language Models for Health. This role requires a passion for innovation, the ability to work effectively in a collaborative environment, and a commitment to contributing to groundbreaking discoveries in project-based research.

Key Responsibilities:

• Work closely with the Principal Investigator (PI) and team members/engineers to design and implement LLMs-based conversational agents.
• Assist in data and LLM analysis and conducting experiments for project-based research questions.
• Assist in developing algorithms and models based on existing LLMs to enhance multi-turn conversations, proactive inquiry, and knowledge-guided common-sense reasoning in conversational agents.

Job Requirements:

• Master’s degree or Bachelor’s Degree in computer science/engineering.
• Solid knowledge in Natural Language Processing, LLMs, or conversational AI.
• Proficient in programming languages and frameworks relevant to machine learning, specifically Python and PyTorch.
• Able to test, debug and optimize existing code base and other features.
• Excellent communication skills and good problem-solving skills.
• Relevant publication record in NLP and conversational AI is preferred.

We regret that only shortlisted candidates will be notified.

Position: Senior Audit Associate

Working Days: 5 days / 5.5 days(Saturday half day during peak period)
Working Hours: 0830am - 1730pm
Salary: Up to $4500
Location: Beach Road

Duties

• Is expected to lead various sizes of audit engagements which include planning, performing, reviewing of audit work performed by less experienced personnel and concluding the engagement.
• Works closely with team members to execute the audit plan and ensures the timely completion of the audit engagement.
• Works closely with clients and manages their expectations to further nurture on-going client relationships.
• Able to identify unethical behavior and react based on the applicable ethical principles.
• Operates in work contexts that are less standardization and unanticipated changes can be frequent due to changes in the external environment.
• Work with any of the assurance teams to obtain an understanding of our client’s business.
• Develop an audit plan/strategy for an audit of financial statements and document the planning procedures.
• Prepare/tailor audit programmes based on areas of audit emphasis determined at the planning stage.
• Perform audit tests of controls and substantive procedures based on planned audit approach to address the various assertions, eg: existence & completeness, rights and obligations, valuation, accuracy, presentation and disclosure.

Requirements

• Bachelor's Degree or equivalent
• 1-2 year of working experience as senior audit associate.

✅The Supreme HR Advisory Pte Ltd EA No: 14C7279

✅SAMUEL SIAW Reg No: R24124745

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• To apply machine learning techniques to improve the accuracy of the inferencing system
• To select and analyze specific Android brand/model on their compatibility with the side-channel inferencing system
• To evaluate the performance overhead and accuracy of the inferencing system prototype

• Bachelor or Master Degree in Computer Science, Information Technology, Information Systems, Computer Engineering, or related disciplines
• Project experience in machine learning or Android security is a plus
• Good communication skills in English
• Advanced level of programming and software implementation, especially in C/C++ and Java
• Good understanding of existing machine learning techniques
• Good understanding of Android architecture and Android executables
• Good analytical, technical, and problem-solving skills
• Self-motivated and willing to work in a term

#LI-JN2

Job Description

• Conduct statistical analysis and provide support for research projects
• Manage the organisation’s databases, perform data extraction, and compile statistical data for reporting purposes
• Assist in coordinating research projects for ethics approval and securing research funding as needed

Job Requirements

• Bachelor Degree level from recognised institute
• 1-2 years of relevant experience in statistical tasks related to the data collection, compilation, and interpretation will be advantageous
• Proficient in SPSS and STATA

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 solicit 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 for verification. We will not be liable for any loss arising from scams.**

JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel: Stephanie Toh

EA Personnel Reg No: R1217674

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 Fellow 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 Fellow should possess relevant experience and will be conducting research on Data Security for LLM systems and work on Formal Methods Agents based on LLM.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world.


In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.


As a Research Scientist at Meta, you will bring experience working on a range of recommendation, classification, and optimization problems. You will have the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

Responsibilities

• Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models
• Suggest, collect and synthesize requirements and create effective feature roadmap Build strong cross functional partnerships and code deliverables in tandem with the engineering team
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
• Perform specific responsibilities which vary by team

Minimum Qualifications

• Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Vision, Machine Learning or relevant technical field. Degree must be completed prior to joining Meta
• Programming experience in a relevant programming language
• Research and/or hands-on experience in one or more of the following areas: machine learning, NLP, recommendation systems, pattern recognition, data mining or artificial intelligence
• Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
• Proven experience to translate insights into business recommendations
• Experience with scripting languages such as Python, Javascript or Hack
• Experience building and shipping high quality work and achieving high reliability

Preferred Qualifications

• Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
• Interpersonal experience working and communicating cross functionally in a team environment
• Exposure to architectural patterns of large scale software applications
• PhD degree or research focused Master degree in ML areas

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Assistant to join our team, focusing on the development and characterization of advanced 2D materials. The successful candidate will play a key role in supporting projects related to the growth, optimization, and detailed analysis of thin films for next-generation electronic devices.

Key Responsibilities:

• Materials Growth and Synthesis: Conduct thin-film deposition using techniques like Chemical Vapor Deposition (CVD) to synthesize 2D materials like MoS2 and other materials. Optimize growth parameters to achieve desired thickness, crystallinity, and uniformity.
• Characterization and Analysis: Utilize Atomic Force Microscopy (AFM), Scanning Electron Microscopy (SEM), and Raman spectroscopy for in-depth material characterization, focusing on morphology, surface roughness, grain size, and crystallinity.
• Data Collection and Analysis: Systematically document experimental procedures, collect data, and analyze results. Interpret findings to drive improvements in synthesis protocols and optimize film properties.
• Research Documentation: Prepare comprehensive reports, summarize research findings, and present data to support ongoing projects and publications.
• Collaboration and Lab Support: Work closely with team members, provide support for collaborative experiments, and maintain laboratory equipment.

Qualifications

• Master’s degree in Materials Science, Chemistry, Physics, or a related field.
• Demonstrated experience with CVD, AFM, SEM, and other characterization tools for thin films and nanomaterials.
• Proficiency in handling 2D materials with a strong focus on growth and sulfurization processes.
• Ability to work independently and collaboratively, with excellent attention to detail and problem-solving skills.

This position offers a unique opportunity to contribute to cutting-edge research in materials science, focusing on 2D materials for advanced electronics. If you have a strong foundation in materials synthesis and characterization and are eager to develop innovative solutions, we encourage you to apply.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer 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 Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

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 should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

SIMTech is looking for a highly motivated, independent, and innovative Software / DevOps engineer to join Sustainability Informatics & Strategy (SIS) Group. The successful candidate is expected to be creative and team-oriented, finding innovative solutions to new challenges and managing the software development life-cycle using Scrum / agile approaches. The candidate will work closely with other developers, UX designers, data scientists and engineers to deliver quality systems in a timely fashion.

JOB DESCRIPTION

The successful candidate is expected to contribute to Software Development and DevOps activities in the research area of sustainability, where they will be working alongside a team of full-stack developers, and with scientists and engineers, to perform tasks including:

• Design and develop backend web applications and database schemas
• Deploy, scale and configure cloud applications
• Manage source codes and maintain workflows for version control
• Fix and troubleshoot code issues and technical issues
• Perform program coding & testing in compliance with approved life cycle methodologies
• Resolve application-based issues through debugging, research, and investigation

JOB REQUIREMENT

• Degree in Computer Science/Engineering (or equivalent experience).
• Proficiency in at least two of the following:
• Frontend technologies and frameworks (i.e. React, Angular)
  Python web frameworks (e.g. FastAPI)
  SQL Databases, and ORMs (e.g. SQLAlchemy)
  
• Prior experience using source control systems, specifically Git. While in-depth knowledge of advanced features is not required, candidates should understand the basic functions such as committing changes, pushing to repositories, and pulling updates.
• Preference for candidates with working knowledge of DevOps (AWS Cloudformation/ IAM) and AWS Cloud Services (Cognito, Amplify, API Gateway, S3, RDS, Lambda)
• Preference for candidates with a basic understanding of Tableau for creating data visualizations. Training or coursework involving Tableau or similar data visualization tools is preferred, though hands-on professional experience is not required
• Ability and willingness to learn new technologies quickly
• Ability to communicate complex procedures to other colleagues
• Strong hands-on capabilities
• Diligent and possess a positive work attitude
• Good communication, writing and presentation skills

PREFERRED SKILLSETS AND EXPERIENCES

• Prior experience in performing Life Cycle Assessment
• Familiarity with LCA-associated standards (ISO 14025/40/44/64/67 and BS EN 15804 standards)
• Knowledge of ESG reporting framework (for e.g. GHG Protocol Corporate Standard, GRI, TCFD, etc.)
• Familiarity with ISO 15663/86 standards
• Experience with commercial LCA tools and Databases (for e.g. OpenLCA, Brightway2, ecoinvent, etc.)
• Knowledge and understanding of green finances and voluntary carbon market

SIMTech is looking for a highly motivated, independent, and innovative Software / DevOps engineer to join Sustainability Informatics & Strategy (SIS) Group. The successful candidate is expected to be creative and team-oriented, finding innovative solutions to new challenges and managing the software development life-cycle using Scrum / agile approaches. The candidate will work closely with other developers, UX designers, data scientists and engineers to deliver quality systems in a timely fashion.

JOB DESCRIPTION

The successful candidate is expected to contribute to Software Development and DevOps activities in the research area of sustainability, where they will be working alongside a team of full-stack developers, and with scientists and engineers, to perform tasks including:

• Design and develop backend web applications and database schemas
• Deploy, scale and configure cloud applications
• Manage source codes and maintain workflows for version control
• Fix and troubleshoot code issues and technical issues
• Perform program coding & testing in compliance with approved life cycle methodologies
• Resolve application-based issues through debugging, research, and investigation

JOB REQUIREMENT

• Degree in Computer Science/Engineering (or equivalent experience).
• Proficiency in at least two of the following:
• Frontend technologies and frameworks (i.e. React, Angular)
  Python web frameworks (e.g. FastAPI)
  SQL Databases, and ORMs (e.g. SQLAlchemy)
  
• Prior experience using source control systems, specifically Git. While in-depth knowledge of advanced features is not required, candidates should understand the basic functions such as committing changes, pushing to repositories, and pulling updates.
• Preference for candidates with working knowledge of DevOps (AWS Cloudformation/ IAM) and AWS Cloud Services (Cognito, Amplify, API Gateway, S3, RDS, Lambda)
• Preference for candidates with a basic understanding of Tableau for creating data visualizations. Training or coursework involving Tableau or similar data visualization tools is preferred, though hands-on professional experience is not required
• Ability and willingness to learn new technologies quickly
• Ability to communicate complex procedures to other colleagues
• Strong hands-on capabilities
• Diligent and possess a positive work attitude
• Good communication, writing and presentation skills

PREFERRED SKILLSETS AND EXPERIENCES

• Prior experience in performing Life Cycle Assessment
• Familiarity with LCA-associated standards (ISO 14025/40/44/64/67 and BS EN 15804 standards)
• Knowledge of ESG reporting framework (for e.g. GHG Protocol Corporate Standard, GRI, TCFD, etc.)
• Familiarity with ISO 15663/86 standards
• Experience with commercial LCA tools and Databases (for e.g. OpenLCA, Brightway2, ecoinvent, etc.)
• Knowledge and understanding of green finances and voluntary carbon market

Clinical Research Coordinator / Research Assistant

Job Description & Requirements

Reporting to the Project Manager, you will be involved in a multi-site cohort Human Biomedical Research study. You will be primarily responsible for subject recruitment and other research deliverables for the studies. You will work closely with the research team and the Principal Investigator of the study.

Job Responsibilities*

You will be responsible for the following:

1) Subject Recruitment and follow up

• Be involved in subject recruitment, scheduling and data entry. Screen patients based on study eligibility, and communicate the study aims to potential subjects in layman terms.
• Obtain consent taking, administer study questionnaires and follow-up on study participants.
• Work closely with research team, clinicians, clinic staff and other relevant internal departments to ensure research study needs are met.
• Able to work on tight timelines, set sensible targets and achieve research deliverables.

2) Research Documentation / Administrative duties

• Conduct research study activities like patient recruitment, data collection and data management.
• Assist in data collection from electronic health records.
• Set up and maintain study investigator files, including records of consent taken and blood collection.
• Maintain study records in databases such as Redcap and in electronic health record systems.
• Responsible for maintaining strict adherence to research protocols i.e., HBRA.
• Liaise with investigators, clinicians and laboratory team to set up clinical workflows at multiple clinical departments for research recruitment.
• Prepare necessary documentation for audit purposes.
• Coordinate the submission of new IRB applications, study amendments and annual reports.
• Maintain the highest standard of professional conduct and record keeping in accordance with hospital policies, ethics requirements and local regulations.
• Assist with any other duties of a similar nature that are delegated by the PI.

Requirements*

• A diploma or equivalent in qualifications in Science/ Public Health/ Social Science with minmium of 2 years relevant experience.
• Bachelor Degree in Science/ Public Health/ Social Science with minimum of 2 years relevant experience
• Fresh graduates are welcome to apply.
• Independent and mature. Able to work independently, as well as in a team.
• Bilingual preferred (fluent in Mandarin/Malay/Tamil).
• Willing to travel between the Hospitals and external study sites as part of his / her work.
• Work Hours: Monday to Friday, 8:00AM to 4:30PM, and Saturday, 8:00AM to 12:30PM, are required.
• Knowledge of Good Clinical Practice (GCP) guidelines and the Human Biomedical Research Act (HBRA)
• 1 year contract role

Only shortlisted candidates will be notified

EnviroDynamics Solutions Pte Ltd I EA License No.: 12C6285

Anna Toh I Reg. No: R23118739

Email CV to : [email protected]

Responsibilities:

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

Requirements

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

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

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 Coastal Protection and Flood Resilience Institute (CFI) Singapore at the National University of Singapore is hiring a Research Fellow (RF). The successful candidate will conduct research and technology scan on current and future trends in coastal protection and flood management solutions, including increasing use of AI in computational fluid dynamics, extreme event prediction and condition monitoring. He/she will also conduct research in some of the abovementioned topics and write research proposals to secure grants for CFI.

Job Requirements

• Possess a recognised PhD degree in civil engineering, mechanical engineering, computer science, or a related discipline
• R&D experience in coastal/offshore/structural engineering and/or AI and machine learning.
• Strong writing and communication skills.
• Ability to work independently and in a team .
• Open to fixed-term contract.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer 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 Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

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 should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.