The Trustworthy LLM/AI project is looking to hire Research Assistants / Senior Research Assistants. Each researcher will contribute in at least one of the following:

1. Research on automated vulnerability discovery (e.g., via Fuzzing) in IoT (Wireless) networked systems;
2. Research on IoT honeypot and threat intelligence.

Qualification & Experience:

• Bachelor's / Master's degree in Computer Science, Computer Engineering, or related field.
• Demonstrated expertise in software testing and/or software security and/or applied machine learning.
• Track record of strong R&D capability, with publications at leading cybersecurity conferences and/or journals.
• Working knowledge of the C/C++ or Python programming language.
• Working knowledge in binary analysis and code reverse engineering is advantageous.
• Familiarity with 5G and Wireless Networking is advantageous.

Job Purpose:

Assess students’ functional physical development level; planning and implementing appropriate intervention treatment to meet individual student objectives; provide recommendations for accessibility, program development and student placement.

Key Responsibilities:

Evaluation & Assessment

• Assess and identify individual needs of students related to occupational therapy issues and concerns to develop intervention procedures.
• Provide re-assessment, review of goals and progress regularly to track students’ progress
• Evaluate, prescribe and provide provision of adaptive equipment / assistive devices as required by the student(s) to improve function.
• Monitor and evaluate student’s functional abilities and make recommendations regarding student’s suitability to prepare students for work/attachment.
• Collaborate with other disciplines to provide team understanding of student occupational performance strengths and needs.
• Evaluate the student’s ability and formulate the student’s occupational profile through a variety of functional, behavioral, and standardized assessments, skilled observation, checklists, histories, and interviews to gather informative data
• Synthesize evaluation results into a comprehensive written report to facilitate student participation in the educational environment, for program development and evidence-based intervention.
• Develop occupationally based intervention plans based on student needs and evaluation results to support student needs and development.
• Participate in multidisciplinary meetings to review evaluation results, integrate findings with other disciplines, offer recommendations, and develop individual education plans and intervention plans to achieve IEP goals.

Program Planning / Intervention

• Formulate / develop and implement appropriate individualized occupational therapy programs to improve student’s functional performance and skills.
• Design classroom-based programs that integrated with the curriculum to improve student’s functional performance and skills
• Select and prepare functional activities that can be easily modified to match student’s skill and interest thus ensure success.
• Provide classroom and work site modifications to improved student functional performance and skills.
• Conduct home visit to support student treatment needs.
• Provide parent /caregiver support such as home program to encourage continuity of the occupational therapy intervention at home.
• Provide classroom and work site modifications to support treatment needs.
• Assist with aspects of training for students on job-trial and work preparation program to support student functional performance and skills
• Educate student, educational personnel, and family to facilitate skills in areas of occupation as well as health maintenance and safety.

Program Administration and Management

• Maintain clinical and administrative records of students to uphold professional standards and school system policy.
• Manage inventory of therapeutic equipment and assessments, and project needs to support budget planning. Keep proper inventory of all equipment and fixtures with regular updating for accountability.
• Propose and justify budget to manage OT program
• Participate actively in continuing education program within the organization, NCSS and other professional bodies to improve support services.
• Conduct in-house training programs to upgrade the professional knowledge and skills for relevant staff / parents / caregivers / volunteers in the organization to provide professional input to stakeholders.
• Submit monthly report and other related written reports to the executive director and school principal to support strategic operations.
• Review occupational therapy services to make quality improvement and changes.
• Collate and prepare High Need Grants documents.
• Conduct meeting with Allied Professional (AP) staff to review occupational therapy services for quality improvement and makes changes as needed.
• Prepare agenda for AP meeting with the Principal. Vet the minutes of AP assistant taken during AP meeting to track follow up actions and accuracy of report.
• Induct new teacher, volunteer, and teachers on work attachment to help them to understand AP services.

Professional Consultation

• Provide consultation to teachers and other related professional staff to improve students’ functional performance and skills.
• Liaise with various discipline involved in the rehabilitative treatment process. (e.g teachers, parents, principal, school administrator and professional staff to support student needs
• Liaise with various professional disciplines in the rehabilitative treatment process to improve student results.

Professional Growth and Ethics

• Participate in continuing education for professional development to provide practice that is consistent with best practice.
• Use professional literature, evidence based research, and continuing education content to make practice decisions.
• Use professional code of ethics and standards of practice to guide ethical decision making in practice.

Admission and Review

• Conduct screening of applicants for placement in school to support strategic operation.
• Assess the child’s numeracy/literacy skills, behavior, motor skills, and sensory issues to support placement for learning.
• Meet the parents to feedback on classroom observation to provide support services.
• Prepare the screening reports and meet the admission and review committee to discuss the outcomes of the application.
• Attend to walk-in parents and phone inquiries to answer query on admission.
• Attend to MAAP meeting for student placement
• Support teachers in managing students during crisis situation to support student needs.

Job Requirements:

• Degree in Occupational Therapy recognised by the AHPC with 3 to 5 years clinical experience.
• Applicants the relevant qualifications with no working experience are welcomed to apply.
• Interpersonal skills, Classroom management skills, takes Initiative, effective communication, Passionate, Creative, Non-Judgmental
• Relevant work experience with children and young adults with intellectual disability would be an advantage
• Ability to work with minimum supervision
• Valid practising certificate with Allied Health Professional Council (AHPC)
• Strong in verbal and written English

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

• Fabrication of 2D materials based memristors using mask aligner, electron beam evaporator and shadow masks
• Characterization of 2D materials based memristors using a semi-automatic probe station, semiconductor parameter analyser.
• Characterization at the materials level using SEM, TEM, FIB, XPS, and Raman Spectroscopy.
• Other routinal paperwork related to the correct functioning of the group, including purchases, contract preparation and reimbursements.

Qualifications

• PhD in Materials Science and Engineering plus 3 years postdoc in memrsitors.
• Proficiency in using all the above mentioned machines
• Publications in top journals
• Fluent in English and Chinese language (including read/write) as the candidate is also expected to support applications for funding in collaboration with China (for example, with the NUS - Suzhou Research Institute).

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

A Research Assistant position is open in the research group of Prof. Shuzhi Sam Ge at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Assistant will work closely with the Principal Investigator (PI) on one or more research projects about Robust AI.

Job Description

This project will combine the strengths of machine learning and control theory and consider the complex dependencies among different sensor inputs to build a robust multimodal AI system that can serve safety-critical applications.

The successful candidate is required to:

• To prepare and meet the project deliveries and milestones;
• Conduct research on Robust AI for autonomous vehicles that can ensure the reliable computer vision of autonomous vehicles under adversarial attacks, or Digital Twin development (3D reconstruction, Generation, etc).
• To advance the knowledge, to publish in journals, conferences, or patents;
• To prepare and meet the project deliveries and milestones.

Qualifications

Qualifications

• At least a bachelor's degree and/or master's degree in Computer Science, Engineering, Physics etc, with specialization related to machine learning, computer vision, control science, computer engineering or related field;
• Prior experience in managing project, laboratory or research funding is advantageous;
• Responsible and able to work independently;
• Excellent written and spoken communications;
• Programming skills in one of the programming languages: Python, C/C++, Matlab, etc.
• Open to Fixed Term Contract.

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 center 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

• Master’s Degree in Public Health or other related fields
• Minimum 2 years of working experience in Singapore’s healthcare/ research setting
• Experience in Singapore 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.

We are in search of a highly motivated and accomplished Research Fellow to join our team and significantly contribute to our upcoming research project "Empowering Real-World 3D Scene Understanding: Navigating Noise, Distribution Shifts, and Incremental Learning". The successful candidate will collaborate closely with our research team, working on the development of ground-breaking algorithms and methodologies for Real-world 3D scene understanding problems. This role offers an exciting opportunity to engage in cutting-edge research and have a substantial influence on the field.

Responsibilities:

• Undertake research in the field of real-World 3D scene understanding.
• Design and execute experiments to validate the proposed approaches.
• Analyze and interpret data sourced from inputs, including images or point clouds.
• Stay up-to-date with the latest advancements in real-world 3D scene understanding and related fields, and integrate new findings into research projects.
• Prepare research papers for publication in prestigious conferences and journals.
• Deliver presentations on research findings at conferences and other pertinent events.

Qualifications:

• A doctoral degree in Computer Science, Electrical Engineering, or a related discipline, with a specialization on computer vision and machine learning.
• A strong background in computer vision, machine learning, and 3D geometry.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with relevant software libraries and frameworks, such as Pytorch, OpenCV, or PCL.
• A solid grasp of mathematical concepts related to 3D computer vision, including geometry, optimization, and statistical methods.
• A proven track record of publishing research papers in esteemed conferences or journals.
• Excellent problem-solving and analytical abilities.
• Strong communication skills and the capability to work effectively in a collaborative research environment.

We are inviting applicants for the position of Research Fellow to work on projects at the intersection of artificial intelligence, engineering, and design. The successful candidate will work with researchers from other domains to implement multimodal deep learning models with language, spatial and geometric datasets across the design scales of products, buildings and cities.

Requirements:

• Strong mathematical and data science knowledge
• Strong deep learning programming skills
• Strong interdisciplinary approach in working with large-scale and real-world datasets.
• Strong knowledge in innovation and entrepreneurship

The candidate should hold a PhD in AI, computer science, mathematics, data science, or other related field.

Job Title: Postdoctoral Researcher (3D-printed Injection Molds)

Scope of the Research:

The project aims to investigate the feasibility of fabricating 3D-printed moulds for injection moulding. The objective of the project includes:

• To identify materials and additives used for the process
• To fabricate well-defined micro and nanostructures by additive manufacturing
• To fabricate hierarchical structures with well-defined inner morphologies

• To characterize the properties of the fabricated structures
• To automate the fabrication process
• To modify or develop instruments applicable to the developed process

The researcher will work in an interdisciplinary research team consisting of electrical, chemical, and biomedical engineers, chemists, and materials scientists.

Qualification, Skills, and Experiences:

• PhD (for postdocs) or M.S./B.S. (for research assistants) in chemistry, materials sciences and/or related fields • Experiences in digital fabrication (3D printing, laser cutting, fluid dispensing)
• Experiences in the design and manufacturing of scientific instruments
• Experiences in microfluidics, microfabrication
• Experiences in digital fabrication, CAD, and 3D drawing and modelling
• Good track record of scientific publications
• Excellent written and oral communication skills in English

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

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

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

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

Job Description

-Contribute to high-quality research and development work in TCOMS laboratory through physical experiments including:

o design of scaled physical test models, such as maritime vessels, offshore rigs, marine renewable platforms, and aquaculture systems for testing in TCOMS Ocean Basin.

o generation of detailed design, production, assembly, and as-built drawings of test models.

o Work with a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.

o enhance the measurement of models? behaviour and response by use of appropriate sensors.

o document design processes, methodologies, and results.

o contribute to process enhancements for improved efficiency of research work.

-Perform research in the following areas:

o Offshore hydrodynamics

o Coastal Protection

o Loads, motions and response analysis of Marine & Offshore platforms and floating structures

o Fluid-structure interactions

· Collaborate with internal teams, affiliated research institutes and other relevant stakeholders in proposal preparation and submission.

-Any other duties as assigned by supervisor.

Job Requirements

-Bachelor's/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Offshore Engineering, or other related disciplines.

-Preferably 3 years of relevant research/industry experience with competent knowledge in some of the following areas:

o Offshore engineering, marine engineering, hydrodynamics, naval architecture.

-Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

o Programming codes such as Python, MATLAB, or equivalent.

o StarCCM+, OpenFOAM

-Model experiments in wave flumes, wave tank or ocean basin.

-Good interpersonal and communications skills.

-Ability to adapt and work effectively as members of a team.

-Good command of written and spoken language.

-Resourceful and self-driven with a high degree of professional integrity.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are looking for a motivated bioinformatics specialist who is keen on studying how microbes contribute to common skin diseases such as eczema and acne. Our lab is focused on leveraging new technologies to better study microbial populations and their impact on human health. We have extensive experience in metagenomic analysis in clinically or commercially important contexts such as uncovering distinct microbial communities in households affected by paediatric eczema (PMID: 35318044) and revealing the microbial basis of body odour in teenagers (PMID: 30497517). We are now focusing on applying various -omics capabilities to larger sized disease cohorts to understand how microbial pathways and biomarkers change with disease progression and treatment. The successful candidate will have the opportunity to work in a highly interdisciplinary environment, with unique access to next-generation sequencing technologies and a wide range of samples. Project findings will have direct applications to ongoing and new microbiome research projects in the lab, particularly in skin diseases.

The Nagarajan Lab is based in the Genome Institute of Singapore (GIS) which is the national flagship program for genomic sciences in Singapore with a mission to use genomics to improve public health and national prosperity. Singapore is a highly cosmopolitan city-state at the cross-roads of Asia with one of the highest standards of living in the world. The GIS provides an internationally competitive remuneration package and relocation assistance.

Requirements:

• Bachelors degree in Computational Biology, Computer Science, Data Science, or a related field.
• Strong analytical and programming skills (Python, R, UNIX environment etc).
• Familiarity with Bioinformatics tools for RNA seq analysis and pipeline building will be useful.
• Interest in exploring biological questions and some course work in statistics is preferable.

How To Apply: Please e-mail your curriculum vitae and contact details of referees to Niranjan Nagarajan ([email protected]) and Minghao Chia ([email protected])

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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 Centre on Asia and Globalisation (CAG) at the Lee Kuan Yew School of Public Policy, National University of Singapore (NUS) invites applications for the position of Visiting Senior Research Fellow. This visiting appointment seeks candidates with an established academic record and an international reputation in the fields of economic, social, and political issues on China-India relations.

The candidate will contribute to extending and enhancing CAG’s research on China-India relations, including re-establishing workshops and dialogues on China-India relations. The successful candidate will also be working with the Asia Research Institute of NUS to prepare an Encyclopedia of China-India relations since antiquity.

The candidate will conduct independent, in-depth, and publishable research on issues in his/her expertise and contribute to the Centre’s agenda on international relations in general, and China-India relations in particular.

The candidate is expected to initiate and organize research projects, workshops, conferences, and other research events. S/he should be able to reach out to publishers and actively engage with academia, policy practitioners, and media and business leaders, as well as apply for external grants.

In addition, s/he is expected to play a role in coordinating with other researchers and contribute to the broader intellectual life of the centre.

Qualifications

• A distinguished academic record with a PhD in a relevant field.
• An international reputation for excellence in research on economic, social, and political issues on China-India relations.
• A strong publication record in books and reputable academic journals.
• Demonstrated ability to engage with diverse audiences and contribute to academic and public discourse.

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including proinflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on a couple of these projects, which involves 1. Design and development of an innovative strategy (RNAi-based) for therapeutic intervention of the target gene. 2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex vivo and in vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work advantageous.
• Highly motivated.
• Willingness and ability to develop new skills.
• Excellent oral, written communication and organizational skills.
• Ability to work independently as well as collaboratively in a team environment.

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including proinflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on a couple of these projects, which involves 1. Design and development of an innovative strategy (RNAi-based) for therapeutic intervention of the target gene. 2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex vivo and in vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work advantageous
• Highly motivated.
• Willingness and ability to develop new skills.
• Excellent oral, written communication and organizational skills.
• Ability to work independently as well as collaboratively in a team environment.

Job Description & Requirements

We are looking for experienced Math/ Science teacher/tutor to teach Secondary subjects

Who are we looking for?

• Someone with a Bachelor degree
• Has experienced in teaching the subject.
• At least 2 Year(s) of working experience in the related field. Someone who has experience working in a tuition centre will be an added advantage
• Enthusiastic, patient and passionate in helping students to excel
• Dedicated and a team player

The role:

• Assist to prepare some materials and curriculum
• Conduct lessons
• Evaluate and monitor students’ progress
• Assess each child’s educational and development needs

Other Information:

• Location: near Clementi MRT
• This can be a part time (3 or 4 day week) or a full time (5 day week), with 1 weekend.
• Working hours: weekday 1 pm to 9pm; weekend 8.45am to 6pm
• Salary commensurate with qualifications and experience
• Annual leave & medical

Interested applicants, please send your resume to us by detailing your qualification and experience, and expected salary.

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 Professor Barbaros Oezyilmaz under a project on Spin triplet superconductivity in van der Waals heterostructures.

Applicants should have a Ph.D. degree in Physics, Material Science, Nanoscience and Nanotechnology, or related disciplines and strong background in low-temperature device physics. The successful candidate will be working in state-of-the-art research environment and receive internationally competitive salary packages.

Our group has extensive experience in the fabrication and characterization of van der Waals heterostructures based on magnetic and superconducting layered materials. To support our ongoing work, we are looking for a new team member with extensive experience in low-temperature magneto-transport measurements. The candidate is expected to do research on spin triplet generation and characterization by introducing an additional layer of a magnetic semiconductor into existing heterostructures to realize spin mixing.

The main responsibilities of the position include:

1. Design and development of magnetic tunnel junction or spin valve.
2. Nano fabrication (e.g., stacking of van der Waals heterostructures, e-beam lithography, nano deposition) in clean room.
3. Low-temperature electrical characterization of superconductors/semiconductors.

Qualifications

• Qualifications / Discipline:

1. Ph.D. degree in Physics, Material Science, Nanoscience and Nanotechnology, or related disciplines

2. Excellent English communications

• Skills:

1. Nanofabrication

2. Low-temperature measurement

3. Device physics

• Experience:

1. More than 4-year experience in clean room environment

2. More than 2-year experience in graphene or other related 2D 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

• Daily operational tasks such as subject recruitment, data collection, sample collection, processing and storage.
• Follow up with research subjects for research visits
• Assist PI with research meeting and collaboration
• Assist PI with databases creation and data entry
• Assist PI with ethics application
• To perform other related duties, incidental to the work described herein.

Qualifications

• Bachelor’s Degree in Nursing or relevant
• Excellent writing and communication skills in English
• Highly organized and able to work effectively under pressure, use independent judgement, and produce a quality work product within tight time constraints
• Ability to work in a multidisciplinary team

1. Cover letter highlighting relevant experience and career goals
2. Curriculum Vitae, containing details of three named referees
3. A complete NUS Personal Data Consent for Job Applicants (the form is available at NUS Personal Data Consent for Job Applicants)

Please note that only shortlisted candidates will be contacted.

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

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

We regret that only shortlisted candidates will be notified.

Overview

The Department of Computer Science at the National University of Singapore is seeking a Postdoctoral Research Fellow (RF) or Senior Research Fellow (SRF) specializing in the areas of multimedia forensics and digital trust enhancement. This project focuses on the development of advanced solutions for detecting forged images, ensuring audio-video consistency, and enhancing multimodal identity verification.

The project combines expertise in deep learning, multimedia analysis, and security to create systems capable of operating in real-world environments while addressing the challenges of digital impersonation and media manipulations. Candidates will be selected based on their research ability and previous experience in fields relevant to digital security and multimedia forensics. Applicants are expected to have a robust technical background acquired during their PhD studies.

The multimedia security group at NUS offers a dynamic and supportive research environment, ideal for individuals keen on contributing both theoretically and practically to the field of digital security.

Job Description

• Contribute to research initiatives by developing and validating algorithms for audio-video synchronization and identity verification.
• Supervise the integration of these technologies into a cohesive system to enhance multimedia content security.
• Publish findings in high-impact journals and present at international conferences

Qualifications

• Completed all requirements for a PhD degree.
• The candidate’s track record in publication, and strengths as an independent researcher are valued.
• Expertise in advanced signal processing techniques, computer vision algorithms, or AI-based synthetic media detection is strongly preferred. If the candidate has demonstrated experience in multimedia forensics, especially in detecting deepfakes or manipulated audio/video content, this will be considered favorable.
• Committed to full-time employment at NUS, Singapore.
• Preference to candidates with strong research background relevant for the project, determined via interviews.

How To Apply
If interested, please send your resume including a cover letter, CV, and a brief statement of your work undertaken in previous positions. The initial term of appointment will be 1 year, extensible to 1 more year upon review of satisfactory performance. Selected candidates will be offered competitive salaries and benefits.

NUS is a reputed world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked (within the top 15) among the computing departments of the world.

Singapore is a vibrant, well-connected city with low taxes and research hub in Asia.

Job description

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Qualifications

Job responsibilities

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of Machine Learning (ML) and statistics.
• Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem and own the development of modeling framework.
• Engage stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
• Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied Data Science team, employing methods which create opportunities for scale, proactively helping to drive innovation.

Minimum qualifications

• Bachelor's degree, or equivalent practical experience.
• 1 year of experience in a Data Science field.

Preferred qualifications

• Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
• Experience with data extraction and modeling tools (SQL, Python).
• Experience delivering insights from AI/ML and statistical solutions to clients, including problem scoping/definition, modeling and interpretation.
• Experience with statistical software (such as Python, R or MATLAB) and database languages (such as SQL) with understanding of Artificial Intelligence/Machine Learning (AI/ML).
• Understanding of the statistical algorithms typically used in Marketing Analytics.

DxD Hub QA/Lab Operations Team is seeking candidate to join the team to build capabilities needed for lab operation in medical device organization.

You will join the QA and Lab Operations team to implement QMS requirement and laboratory safety protocols in the management of equipment, facilities and inventory within the product development laboratory.

You will be trained in the following areas:

Competency in ISO 13485:2016

• Understanding concept of ISO 13485:2016 standard and the impact of the requirements on lab operations.
• Management of Change.
• Management of deviation and nonconformity.
• CAPA and root cause analysis.

Workplace Safety, Health and Environment

• Application of safe work procedures in work activities.
• Workplace safety incident investigation.
• Proper classification, handling, storage and disposal of lab chemicals including toxic, corrosive, flammable chemicals.
• Proper handling, storage and disposal of biological materials.
• Emergency response.

Facility Management

• Regulatory requirement for lab operations.
• Regulatory guideline for waste management.

Equipment Maintenance

• Understand the purpose of equipment calibration.
• Understand concept of accuracy and tolerance in calibration results.

Equipment Qualification

• Understand the principles of equipment qualification.
• Writing qualification protocol and report.
• Execute basic installation and operations qualification protocols.

You will support the QA and lab operations team in the following:

• Receiving and inspection of material and equipment.
• Equipment qualification: develop qualification protocol/report, plan for qualification activities.
• Support in maintenance of lab facility compliant to ISO 13485 and regulatory requirement.
• Review/drafting of SOP.
• Participate in audit.
• Record NCR and conduct CAPA process.
• Participate in lab improvement project.
• Cross division activities on adhoc basis.

Job Requirements

• Bachelor of Science or Engineering with knowledge in engineering science.
• Working knowledge in Microsoft office.
• Good communication and presentation skill.
• Individual who is highly motivated, results driven and well organized.
• Possess intellectual agility and a strong team player.
• Applicants with no experience may apply.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Responsibilities

• Develop and align strategies to economic and national agenda (e.g. DxD Hub 3.0 in RIE2030 strategy), including strengthening linkages with internal and external stakeholders (e.g. MOH, clinical clusters in setting up satellite programmes).
• Translate overarching DxD Hub’s strategies into an action plan, coordinating across public sector and internal stakeholders and entities to achieve Enterprise’s desired outcomes.
• Set, monitor and report performance and tracking indicators for DxD Hub in alignment with National Platforms Co-ordinating Office and A*STAR Innovation and Enterprise (I&E) division and its operating units and in partnership with finance for financial targets.
• Establish and maintain corporate branding and public awareness of DxD Hub.
• Perform Divisional reporting and communications functions with stakeholders within A*STAR, governing and advisory boards, as well as other public agencies in the ecosystem.
• Review internal operational processes for possible improvements, in alignment with Enterprise and A*STAR best practices.
• Build capabilities of service platforms & drive realization of business outcome.
• Hires, motivates, develops, and retains key talent.
• Develop and deliver accurate reports of operational metrics to the CEO. Deliver monthly operation reports.

Requirements:

• Bachelor’s degree, preferably in Science or Engineering.
• More than 6 years of relevant working experience. Experience in strategic and/or corporate planning would be an advantage.
• Possess strong strategic and analytical thinking skills.
• Able to identify and contextualise stakeholder issues and manage them appropriately.
• Good communication (written and verbal) and interpersonal skills. Able to work in a team and guide the team to achieve their tasks. Able to work outside of organizational boundaries to engage external stakeholders as necessary
• Able to deliver results under tight timelines. Pro-active, quality conscious and results oriented.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are seeking a Junior ImmunoDx Scientist to support new projects and to drive our future growth.

Job Description:

• Conduct analytical and clinical validation.
• Optimize IVD/RUO products.
• Develop protein conjugation techniques for biosensors and manufacturing at scale.

Job Requirements:

• Bachelors's degree in Science, Biology, or equivalent with 1- 2 years of laboratory experience.
• Skilled in protein-based assays such as immunoassay and protein quantitation.
• Proficient in MS Office.
• Strong communication skills.
• Ability to multitask in a dynamic environment, and a self-driven, team-oriented attitude are essential for success in this fast-paced position.
• Candidates with no experience may apply.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are seeking an innovative Junior Scientist to support our new projects.

Job Description:

• Conducting experimental design, planning, performance and troubleshooting of experiments.
• Results report writing.
• Laboratory administration and operations.

Job Requirements:

• Bachelor's degree in Science, Biology, or equivalent with 1 - 2 years of laboratory experience. Candidates with no experience may apply.
• Basic Biosafety Level 2 laboratory skills e.g. micropipetting, handling of reagents and biological material in Biological Safety Cabinet.
• Performance of molecular-based assay such as polymerase chain reaction or other nucleic acid amplification-based platforms, and next generation sequencing.
• Proficient in MS Office.
• Strong communication skills, the ability to multitask in a dynamic environment, and a self-driven, team-oriented attitude are essential for success in this fast-paced position.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job duties and responsibilities :

We invite brilliant minds in computer science to join us at the cutting-edge of cancer genomics research, harnessing the power of artificial intelligence or classical algorithms. Your job will involve either the development of new algorithms or deep learning models focusing on understanding cancer genomes. The focus will be on de novo genome assembly methods for reconstructing cancer genomes or developing new generative RNA/DNA/epigenome/epitranscriptome foundation models.

The duties include working with PhD students and ROs, helping write grant proposals, and managing projects.

Job Requirements :

Essential experience and skills:

• You have a PhD in computer science, math of physics
• You are experienced in deep learning or classical algorithms
• You are experienced in Pytorch for deep learning or C/C++ or Rust for classical algorithms
• You have an active interest in understanding the biology
• At least one first-author publication or preprint from your PhD and/or MSc work.

Desirable experience and skills:

• Experience with bioinformatics methods and tools for (a) variant calling, and/or (b) de novo assembly and/or (c) long read sequencing analysis;
• Proficiency in Python, and genomics and machine learning libraries therein.
• Keen interest in programming, algorithm development, mathematics, complexity, and puzzles.
• Two or more first-author publications and/or preprints from your PhD and/or MSc work.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.