About us

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description

We are seeking a research officer to drive data management and analysis of large-scale biomedical multi-omics and clinical data. The candidate will be expected handle a number of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop file catalogues, databases, knowledge graphs and visualization of datasets, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine, analyze and curate publicly available resources and develop annotation tools and databases to link up with available datasets of different diseases, including cancer and metabolic diseases. The candidate will also manage and maintain all data in a database structure and develop a searchable web portal for researchers and clinicians. This position offers the candidate an opportunity to gain expert knowledge in multi-dimensional data from cancer and other diseases, and become computationally competent in delivering these knowledge to the end-user.

Requirements:

• Bachelor/Master degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Engineering, Genetics, Biology or a related field.
• At least 5 years of relevant experience
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps)
• Highly experienced with Unix/Linux environment and cloud architecture (AWS)
• Familiar with database development (e.g. SQL), BI and AI/ML.
• A background in life sciences, biology, biomedical informatics or clinical research is preferred.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project management and organizational skills will be very valuable.

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 Description

• Provides project management for ongoing client sample programs through daily customer communication and contact.
• Provides sample registration though the laboratory LIMS system and ensures correct registration.
• Arranges all aspects of local and international logistics for both sample collections and overseas shipments to global partners.
• Performs data entry into eLIMS, CRM and other databases, as appropriate.
• Be an internal liaison for clients so they only need to contact one person.
• Empowered to make decisions on behalf of clients to provide superior service.
• Provides information for clients (e.g. Pricing, Capabilities, Status, Sample Submission).
• Onboards new clients by asking appropriate questions and provides on line sample registration training.
• Submits and coordinates client requests for re-testing, additional testing, OOS investigations and changes that are needed.
• Communicates and coordinates timely resolutions to customer complaints.
• Provides support for other Client Service Associates and Sample Management team when needed (e.g. absence, workload adjustment, site and regional balancing).
• Coordinates conference calls with client and Eurofins sites as needed.
• Monitors KPI’s for key customers assigned, including TAT performance metrics and Interco sales.
• Contributes to assigned process improvement projects and supports implementation when needed.
• Performs ad-hoc duties as assigned.

Qualifications

• Diploma in a science, business or related field (or equivalent work experience)
• Minimum of 2 years of direct food testing, high intensity customer service, or other business-related experience
• Excellent customer service skills, attention to detail and ability to be persistent while maintaining tact
• Thick-skinned – ability to receive and deliver difficult news
• Demonstrated computer skills – requires excellent MS Office experience (specifically Excel, Word, Outlook)
• Demonstrated ability to plan, multi-task and prioritize
• Demonstrated teamwork, communication (written and verbal), and organizational skills
• Ability to work independently
• Knowledge of other software applications (i.e. SFDC, NIMS) preferred
• Ability to work to multiple deadlines
• Ability to learn technical chemistry and microbiology testing requirements
• Ability to communicate appropriately and effectively with internal and external clients
• Positive attitude and sense of urgency
• Experience in a scientific or logistics environment is heavily weighted

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 Singapore Population Health Studies (SPHS) is a large scale population-based health research project by the Saw Swee Hock School of Public Health, National University of Singapore. We are looking for a team player capable of working in a fast-paced environment, and who is service-oriented and good at time management. The role primarily involves performing dual-energy X-ray absorptiometry (DXA) scans on research participants within a health screening centre.

RESPONSIBILITIES
1. Obtain consent from research participants and perform health assessments including anthropometry, blood pressure measurement and ECG (female only).
2. (Upon completion of training) Perform bone densitometry and whole body composition scans on 20 participants per health screening session, keeping to the turnaround time per participant for that procedure.
3. Review images and perform data entry accurately, noting any observation of anomalies.
4. Analyse images and upload to the research database.
5. Perform regular quality control and calibration procedures and maintenance of equipment.
6. Update the inventory of consumables.
7. Ensure the safety and protect the privacy of research participants by adhering to best practices. Reporting of incidents, complaints or adverse events.

Qualifications

• Diploma in life or health sciences and minimum 2 years of any work experience, or degree in life or health sciences.
• Full-time work hours are: 7.45am to 6.15pm on Mon, Tue, Thu and Fri; and 7.45am to 3.30pm on alternate Sat.

WHAT ARE WE LOOKING FOR
We are looking for a teamplayer capable of working in a fast-paced environment, and who is service-oriented and good at time management. This job is for you if you prefer an academic research setting over a clinical one, enjoy working in a team that manages
different assessment modalities and has a keen interest in helping to build a national biobank for research

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

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

We regret that only shortlisted candidates will be notified.

Job Description

To conduct research in area of functional polymers and hydrogels

Qualifications

1. A Ph.D. degree in areas of chemistry, Polymer Science, or Physical Chemistry of materials.
2. Equipped with skills in polymer design and synthesis
3. Good at materials characterization using TEM, SEM, SAXS/WAXS.
4. Self-motivated and demonstrated a good track record in quality publication.
5. 1-2 years postdoc experience is an advantage while Ph.D. graduates with no prior experience are also welcome to apply.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Duties & Responsibilities
1.Recruit, train, assess and supervise personnel performing recruitment and interviewing to ensure quality of the participant data.
2. Manage the recruitment listings and study visit scheduling to ensure response rates and operating capacity are maximised, and project timelines are being met
3. Design, test, implement and review new workflows or surveys
4. Recontact participants to verify and rectify collected information
5. Ensure participant information in the operations database is updated and accurate and the completed consent and data forms are accounted for and securely stored
6. Record and track the submission, rework or rejection of consent forms and questionnaires and generate reports on data quality
7. Investigate participant complaints and incidents and implement appropriate actions for continual improvement of processes and service
8. Supervise and guide callers, interviewers and recruiters on professional conduct and responsiveness to ensure participant satisfaction and willingness to contribute for the long-term
9. Compute monthly payments to the recruiters
10. Manage the cash and vouchers for the reimbursement to participants of various projects

Qualifications

• A degree holder, preferably from a biomedical or life science discipline
• Minimum 3 years of working experience and 1 year of supervisory experience
• Clear and good communication skills
• Careful and meticulous with data management
• Fluent in English and at least 1 other local language (for examples Malay or Chinese) to be able to understand and communicate with research participants who are only able to speak Malay or Chinese
• Proficient in Microsoft applications

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 Prof. Mandar Chitre on the research on medium access control (MAC) under space-time coupling mesh-connected networks.

The main responsibilities of the position include:

• Conduct in-depth analysis of medium access control (MAC) in mesh-connected underwater acoustic networks (UANs), focusing on space-time coupling characteristics.
• Investigate the impact of space-time coupling on MAC performance, including access capacity and network efficiency, in mesh-connected UANs.
• Design and optimize topology-shaping techniques for mesh-connected UANs to enhance network performance.
• Simulate and test the proposed algorithms and network designs to evaluate their effectiveness in improving access capacity and reducing interference.
• Work collaboratively with interdisciplinary teams to align research findings with practical applications in underwater resource development.

Qualifications

PhD in Electrical Engineering, Computer Science, or a Related Field, with a focus on one or more of the following areas:

• Wireless Communications
• Underwater Acoustic Communications
• Network Protocols and Medium Access Control (MAC)
• Signal Processing

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 job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of VOC speciation via chromatography and/or online real-time detection instrument (e.g., PTR-MS)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies with prior experiences
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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 job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of chemical characterization via chromatography (GCMS, LCMS, GCTOFMS, etc.)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

Responsibilities:

• Liaise with clients to assist with relevant Singapore immigration applications.
• Provide an application overview, collate client documents/information, and address client queries promptly and professionally within the company’s stipulated response time.
• Cultivate strong relationships with clients by delivering exceptional after-sales service.
• Assist in the preparation and submission of Singapore immigration applications, including Citizenship, Permanent Residence (PR), Long-Term Visit Pass (LTVP), and work pass applications (EP, TechPass, PEP, ONEPass, DP).
• Regularly interact with clients through various communication channels, including telephone calls, emails, WhatsApp, or face-to-face meetings.
• Manage the full spectrum of the case process, from initiation to advising on application outcomes.
• Prepare detailed immigration advice for clients.
• Manage systems and databases for application tracking and record-keeping purposes.
• Undertake other HR & Admin functions and ad-hoc assignments or duties as and when assigned.
• Understand how daily tasks contribute to the team's and business's priorities.
• Show strong commitment to personal learning and development.
• Work effectively across departments and within a highly inclusive team culture where everyone is supported, respected, and recognized for their contributions.

Requirements:

• Possess a Degree or equivalent in any field of study.
• Have at least 2 to 4 years of relevant work experience in the Singapore immigration sector.
• Possession of a CEI (Basic) license is preferred.
• Demonstrate strong attention to detail with excellent organizational and analytical skills.
• Exhibit exceptional organizational and time management abilities.
• Be personable with good communication skills and a passion for client service.
• Proficient in Microsoft Office and Adobe.
• Fluent in written and spoken Chinese and English.

Position Overview:

Black Sesame Technologies is seeking a talented and innovative Machine Learning Research Scientist with expertise in software/hardware co-design to drive advancements in autonomous driving technologies. This role offers a unique opportunity to bridge the gap between machine learning algorithms and hardware design, contributing to high-performance, efficient, and scalable solutions for AI-driven systems.

Responsibilities:

• Conduct in-depth research and analysis of cutting-edge machine learning algorithms, with a primary focus on applications in autonomous driving.
• Monitor and forecast industry trends in AI technologies to identify opportunities for innovation and improvement.
• Evaluate the computational and memory requirements of various AI models and operators, identifying optimization opportunities.
• Collaborate closely with chip architects and engineers to design and implement software/hardware co-designed solutions that enhance chip performance, efficiency, and scalability.
• Develop comprehensive technical documentation and presentations to effectively communicate complex concepts to both technical and non-technical audiences.
• Stay connected with academic and industry research communities to remain at the forefront of AI and machine learning advancements.

Qualification/ Requirements:

• Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related technical field with a strong focus on machine learning.
• Experience: Proven experience in developing and analyzing machine learning algorithms.
• Programming Skills: Proficiency in programming languages such as Python and C++.
• ML Frameworks:Hands-on experience with machine learning frameworks like TensorFlow and PyTorch, and deploying them on hardware accelerators.
• Collaboration: Demonstrated ability to work effectively in a team-oriented, cross-disciplinary environment.
• Co-Design Expertise: Strong understanding of software/hardware co-design principles and their impact on system performance is highly preferred.

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

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

We regret that only shortlisted candidates will be notified.

Job Description:

ASIA RESEARCH INSTITUTE (ARI)

Postdoctoral Fellowship in Asia Research Institute (Science, Technology and Society Research Cluster)

The Asia Research Institute invites outstanding, active researchers from around the world to work on an important piece of Asia-centred research in the social sciences or humanities.

Apart from the quality of the research proposal, and the applicant’s publication track record, positions will be awarded on the basis of the relationship of their research topic to the identified priorities and themes of the cluster.

The Science, Technology, and Society (STS) Cluster concentrates on the relationship between those three domains in and beyond Asian settings, and their intersections with the environment in the past, present and future.

The cluster currently brings together a diverse, interdisciplinary group of researchers who work on the following research themes:

i) climate change and carbon governance;

ii) planetary health and ‘Asian medicines’;

iii) energy transitions, infrastructure and space;

iv) critical minerals.

The cluster welcomes diversity in methodological approaches, fosters interdisciplinary practices and encourages collaborative research projects. In the current round of recruitment, we are particularly interested in hiring a postdoctoral research fellow with research interests at the intersection of STS and environmental humanities.

Given that a growing proportion of ARI’s funding is derived from external sources, strong preference will be given to candidates with potential to contribute to building competitive research grant applications.

JOB DESCRIPTION

The Researcher will work under the supervision of the Cluster Leader and take the lead in duties such as organising workshops and conferences, participating in current cluster projects, and carrying out new projects (including applying for grant funding). Administrative duties and committee work will be assigned and form part of the position.

JOB REQUIREMENTS

1. Candidates must have fulfilled all requirements of securing a PhD from a reputable university at the time they take up their appointment at ARI.
2. If you are still a PhD candidate at the point of application, you may also apply provided that you are confirmed for graduation by your commencement date at ARI. An official letter from the Registrar’s Office of your university will be required to confirm the award of your PhD degree.
3. Candidates must have an existing track record of publication, and plausible plans for future high-quality publications to be completed at ARI.

TERMS OF APPOINTMENT

1. The appointment will be tenable for a period of two years.
2. Applications are invited for commencement in: Aug/Sept 2024 or Dec 2024/Jan 2025.
3. The Postdoctoral Fellowship remuneration is S$6,000 per month. This all-in sum is inclusive of stipends for housing and living expenses.
4. Please note that University Housing will not be provided, and appointees are expected to make their own private accommodation arrangements.
5. Travel assistance will be provided to eligible candidates.
6. Singapore Citizens and Permanent Residents are eligible for provident fund benefits.
7. All salary and benefits-in-kind are subjected to taxation in accordance with local tax laws.
8. There is support for research fieldwork and conference attendance (on application and subject to approval).
9. Research staff at ARI are expected to participate actively in the life of the Institute, including attendance at seminars, conferences and ARI social events.
10. Other benefits that the University provides and information about working at NUS and living in Singapore are available at Why Join Us. Terms and conditions, according to university guidelines, are subject to change without prior notice.

APPLICATION PROCESS

Please submit the following documents in one (combined) PDF and attach it under the CV column in the system:

1. Curriculum Vitae.
2. Synopsis of the proposed research project (maximum of 5 single-spaced pages).
3. At least one short sample of published work, preferably in English.
4. Please indicate the name and contact details of at least 2 referees in your application.

Closing date for applications is 26 July 2024. Please note that no extension will be given.

ADDITIONAL IMPORTANT INFORMATION

1. Only fully completed applications will be considered.
2. All materials including research proposal (including if any, initial ideas for a research grant application) and CV must be submitted through our online application system.
3. As we receive high volume of applications, we strongly encourage you to apply well before the closing date.
4. We regret that only successful candidates will be notified (via email). Candidates who do not hear from the University within 10 weeks after the closing date may assume the position has been filled.
5. Any offer of appointment is conditional on approval by the National University of Singapore (NUS) and the Ministry of Manpower granting you an Employment Pass or other applicable work passes.

Contact list for further enquiries

For research related queries, do contact (via email) the Cluster Leader of the STS Cluster directly.

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 (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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 will be responsible for working closely with the Principal Investigator on one or more projects.

Description

Fuzzing is a powerful technique for finding security vulnerabilities in systems and is used by corporations regularly. In this work, we will study the role of AI in cybersecurity - by aiding fuzzing techniques with large language models.

Tasks

• Conduct Research on AI-Aided Fuzzing: Lead research efforts to explore the integration of large language models (LLMs) with fuzzing techniques for identifying security vulnerabilities in systems. Design experiments and methodologies to evaluate the effectiveness of AI-aided fuzzing in comparison to traditional methods.
• Develop AI Models for Fuzzing Enhancement: Develop and implement AI models, including deep learning architectures, reinforcement learning algorithms, and natural language processing techniques, to enhance fuzzing capabilities. Train these models on relevant datasets to improve their ability to generate meaningful inputs for fuzzing.
• Collaborate with Interdisciplinary Teams: Collaborate with interdisciplinary teams comprising cybersecurity experts, AI researchers and software engineers to integrate AI-aided fuzzing techniques into existing cybersecurity frameworks. Communicate findings and insights effectively to team members and stakeholders.
• Publish Research Findings: Document research findings in academic publications, conference papers, and technical reports. Disseminate knowledge gained from the study of AI in cybersecurity, particularly in the context of fuzzing, to the broader research community through presentations and workshops.

Qualifications

• Ph.D. in Computer Science, Cybersecurity, or a related field: A terminal degree in a relevant field is essential to demonstrate the depth of knowledge and expertise required for conducting advanced research in AI and cybersecurity.
• Research Experience in Fuzzing and AI: Proven track record of conducting research in fuzzing techniques and artificial intelligence, with a focus on deep learning, natural language processing, or reinforcement learning. Experience in applying AI methods to cybersecurity problems is highly desirable.
• Publication Record: Demonstrated ability to publish research findings in reputable conferences and journals relevant to AI, cybersecurity, or software engineering. Strong publication record in top-tier venues indicates the ability to contribute novel insights to the field.
• Programming and Software Development Skills: Proficiency in programming languages such as Python, C/C++, or Java is necessary for developing and implementing AI algorithms and fuzzing tools. Experience with software development methodologies and version control systems is advantageous.
• Analytical and Problem-Solving Skills: Strong analytical skills and problem-solving abilities are essential for designing experiments, analyzing data, and deriving actionable insights from research findings. Experience with experimental design and statistical analysis techniques is beneficial.
• Communication and Collaboration Skills: Excellent written and verbal communication skills are required to convey complex ideas and technical concepts to both technical and non-technical audiences. Ability to collaborate effectively with interdisciplinary teams and communicate research findings clearly is crucial.
• Self-Motivation and Initiative: Demonstrated ability to work independently and take initiative in driving research projects forward. Proven track record of self-motivated learning and exploration of new methodologies and technologies in the field of AI and cybersecurity.
• Candidates who meet these qualifications and possess a strong passion for advancing the state-of-the-art in AI-aided cybersecurity, particularly in the domain of fuzzing, are encouraged to apply.

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 successful candidate will work with Dr Liu Boxiang on single-cell multi-omic analysis under a project on developmental trajectory of pancreatic islets.

The main responsibilities of the position include:
- Generating single-cell multi-omic data
- Single-cell multi-omic data analysis
- Manuscript writing

Qualifications

• Qualifications / Discipline: PhD in Bioinformatics

• Skills: RNA-seq and single-cell multi-omic analysis, sequencing data generation

• Experience: PhD in bioinformatics; industry research experience preferred.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Visiting Professor in the Department of Medicine at Yong Loo Lin School of Medicine. Our Department is committed to excellence in Family Medicine research, education and clinical practice. We aim to improve health outcomes through local and international collaborators, and to nurture future generations of medical professionals in primary care.

Strengthen and expand the department’s global network of researchers in primary care. Provide expert advice to identify nascent and/or emerging trends, strategic priorities in primary care research to ensure alignment to the department’s mission.

The Visiting Professor will work with the PI(s) to support the department’s mission. He/she shall:

1. Develop and implement a programme of research in Primary Care and Family Medicine as aligned with the departmental rack record and priorities, including publication in Q1 journals and securing funding (NUHS, NMRC, others). Responsibilities include:

• Implementing designs for the evaluation of effects under non-randomised conditions;
• Applying machine learning to enhance research outcomes;
• Utilising data analytics and patients´ voice to improve outcomes in primary care;
• Enhancing data-driven approaches to improve chronic disease management
• Creating and analysing large datasets related to cancer risk factors, and developing prediction models to facilitate earlier cancer diagnosis and treatment in primary care.

2. Contribute to the development and delivery of the postgraduate agenda of the department, with particular attending to the postgraduate programme in Primary Health Care, and maximising the department’s outputs by identifying high-quality dissemination opportunities and publications in top-tiered journals e.g., British Journal of General Practice, Annals of Family Medicine, European Journal of General Practice.

3. Contribute to the development of the Centre for Research in Health Systems Performance with a focus on Primary Care policy in the areas of research and policy intelligence and analysis, while also contributing to capacity building in data science, health services research and in population health by designing and delivering tailored training activities in primary care data and analysis and meta-analysis.

4. Assist in the identification and recruitment of early-career, experienced, and senior academics to increase the critical mass of the department.

Qualifications

The applicant should:

1. Possess a medical degree that is internationally recognized;
2. Demonstrate extensive and diverse experience in primary care research;
3. Exhibit the ability to work independently and collaboratively; and
4. Proficiency in computer applications, e.g., SPSS, MS office, PowerPoint.

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

Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Architecture invites applications for one Practice Track position in Architectural Design.

The Department of Architecture in the College of Design and Engineering is ranked among the top 10 in the world, and Asia’s best in Architecture/Built Environment, by the Quacquarelli Symonds (QS) World University Rankings (2023). It offers the professionally accredited Master of Architecture programme as well as a range of graduate and undergraduate programmes in related fields such as urban planning/design, landscape architecture and conservation. The faculty is correspondingly diverse and international. The Department offers internationally competitive remuneration, generous employment benefits as well as access to research funding for both junior and senior academics. International applicants will also receive subsidized housing at Kent Vale.

Qualifications

Research by Design (RxD) at the Department of Architecture seeks qualified, interdisciplinary, and inspirational candidates with expertise in creative practice research (research through design, as opposed to research for design or research about design). We seek candidates with expertise in design with foundations in decarbonized & planet-positive futures, warming world futures, social justice, and inclusive futures, with a particular focus on being situated in the tropical geographies of Southeast Asia and the equator. Candidate research should be manifested through a robust portfolio of creative practice outputs and substantiated through forms of peer review and public and societal engagement, with evidence of leading with anticipatory and future-forward design ideas that impact evolving society and the profession. We are especially interested in candidates who are leaders in Research by Design methods in the academy and who leverage creative practice to imagine and manifest a more just world.

Successful candidates are expected to teach and lead design studio courses related to research by design, with core, elective, and seminar courses to complement the design studio.

All qualified individuals are encouraged to apply. To apply, please provide the required documents in pdf and indicate which position you are applying for.

1. A letter of interest
2. A complete Curriculum Vitae
3. A Statement of Teaching (maximum two pages)
4. A Statement of Research (including a short research plan for next three to five years maximum three pages) – citing up to five significant publications, creative work or other scholarly contribution and explaining their significance, and a writing sample.
5. Names of four referees with contact details (who will be contacted only if shortlisted). Please highlight any who is a member of your PhD dissertation committee.
6. Portfolio of work showing research through design

In accordance with the Personal Data Protection Act (PDPA), please provide consent for the collection, use and disclosure of personal data, using the NUS Personal Data Consent for Job Applicants form.

Only shortlisted candidates will be notified.

DxD Hub QARA Team is seeking candidate to join the QARA team to support QMS implementation in design and development of software as medical device.

Candidate will receive training in the following areas:

• 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.
• Key concepts in IEC 62304/ISO 14971/IEC 62366.
• Software life cycle.
• Software safety classification.
• Conducting risk assessment and usability engineering study.
• Documentation requirements in software design and development .

Candidate will be supporting the QA and lab operations team in the following:

• Provide QA support to the software development team in their design and development activities.
• Participate in audit, when applicable.
• Raise NCR, conduct CAPA process.
• Draft/review software validation protocol/report .
• Draft/review project document.
• Other QA operations role, for example, drafting and reviewing SOP, material inspection.
• Assist in cross division work on ad hoc basis.

Job Requirements:

• Bachelor’s degree in Science or Engineering. Candidates with no experience may apply.
• Basic knowledge in programming.
• Working knowledge in Microsoft office.
• Good communication and presentation skill.
• Individual who is organized, highly motivated and results driven.
• Possesses intellectual agility and a strong team player.

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.

Here at DASH, we aspire to become the top sales & marketing firm. We represent leading companies, offering their products & services with pride & conviction. As we plan to expand globally, we are on the lookout for driven individuals like you to join us on this journey of becoming industry leaders.

Your Role:

• Turn clients' visions into reality
• Engage with customers and make long-lasting impressions
• Create innovative strategies to boost sales

Why You’ll Love It Here:

• Enjoy personalized coaching from our fantastic trainers - learn and have fun
• Countless opportunities for growth and career advancement
• Participate in our workshops to grow your skills
• Dive into exciting international work and travel opportunities
• Be part of an energetic team where every day brings about new excitement

What We’re Looking For:

• Fun and cheerful individuals
• Eager to learn and take on new challenges
• Loves working in a team

If you got what it takes, APPLY NOW!

The Senior Member Services Associate is the first point of contact for members and guests of the Club, both in-person and over the phone. This role requires a blend of friendliness, professionalism, and efficiency to ensure a positive and memorable first impression. The Associate will be responsible for greeting and welcoming members and guests, addressing their queries, providing information, and maintaining accurate records.

Thus, the primary role of a Member Services Associate is to present the organisation in the best possible manner.

Key Responsibilities but not limited to:

Greeting and Welcoming:

• Warmly greet and welcome members and guests upon arrival or during phone interactions.
• Provide a friendly and professional first impression of the Club.

Customer Service:

• Answer inquiries in a knowledgeable and courteous manner.
• Provide accurate information about Club facilities, services, and events.
• Assist with special requests and ensure customer satisfaction.

Record Keeping:

• Maintain and update member records and ensure accuracy.
• Handle and process payments efficiently and accurately.

Communication:

• Communicate effectively with members, guests, and other staff members.
• Ensure clear and concise information is relayed during interactions.

Problem Solving:

• Address and resolve member and guest concerns promptly and professionally.
• Escalate issues to the appropriate department or manager when necessary.

Administrative Duties:

• Perform general administrative tasks such as filing, data entry, and guest registration and etc.
• Assist with other duties as required to support the Member Services team.

Guest Room Reservations Management:

• Handle and process room reservations accurately and efficiently via phone, email, or in-person.
• Update reservation systems with booking details, changes, and cancellations.
• Confirm reservation details with guests and provide necessary information regarding check-in/check-out times and policies.

Arrival Coordination:

• Prepare for guest arrivals by ensuring that rooms are ready and meet quality standards.
• Greet guests upon arrival, check them in, and provide key information about the room and facilities.
• Address any special requests or requirements before or upon arrival.

Departure Procedures:

• Facilitate smooth check-out processes, including handling payments and reviewing guest bills.
• Address any concerns or issues raised during departure and ensure that all charges are accurate.
• Conduct final room inspections to ensure cleanliness and readiness for the next guest.

Join Our Team and Enjoy Fantastic Benefits!

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 Associate Professor Chua Lay Lay on Processing and characterization of polymer batteries under a project on Organic Thin-Film Energy Sources for Highly Distributed Nanopower Generation and thermal crosslinker.

The main responsibilities of the position include:
Processing and characterization of novel organic n-type and p-type storage and transport materials.

Qualifications

Qualifications / Discipline: PhD in Chemistry or Materials Science

Skills: Organic synthesis and spectroscopy techniques.

Experience: Organic semiconductor processing, FTIR, UV-VIS, XPS

Provide Dental Care to patients.

Requirements

- Full registration with Singapore Dental Council.

- Proficient in General Dentistry

- Proficient in Dentures including F/F dentures

Working hours/sessions etc can all be discussed.

Salary listed is only indicative and depending on number of sessions and comms.

Email us at [email protected] with resume and arrange for a chat over coffee.

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 Department of Architecture invites applications for one Practice Track position in Landscape Architecture.

The Department of Architecture in the College of Design and Engineering is ranked among the top 10 in the world, and Asia’s best in Architecture/Built Environment, by the Quacquarelli Symonds (QS) World University Rankings (2023). It offers the professionally accredited Master of Architecture programme as well as a range of graduate and undergraduate programmes in related fields such as urban planning/design, landscape architecture and conservation. The faculty is correspondingly diverse and international. The Department offers internationally competitive remuneration, generous employment benefits as well as access to research funding for both junior and senior academics. International applicants will also receive subsidized housing at Kent Vale.

Qualifications

Successful candidates should be actively engaged in landscape architectural research and design, including but not limited to geospatial analysis, landscape representation, urbanism, ecology, infrastructure, and landscape engineering. They should have interests in developing interdisciplinary research addressing pressing environmental, urban, and social challenges in Asia. Additional preferred qualifications include experience in professional practice or membership with professional bodies.

Successful candidates are expected to contribute to landscape design studios for undergraduate and post-graduate students, and core modules related to geodesign, ecological and environmental systems, landscape policy and planning, landscape representation, and materials or site engineering. Depending on the rank, candidates may also be considered for leadership roles within the Bachelor or Master of Landscape Architecture programmes. Senior rank candidates with outstanding research profile and high international standing may be directly hired as tenured faculty.

All qualified individuals are encouraged to apply. To apply, please provide the required documents in pdf and indicate which position you are applying for.

1. A letter of interest
2. A complete Curriculum Vitae
3. A Statement of Teaching (maximum two pages) and a sample syllabus of a course to be taught that is relevant to abovementioned topics.
4. A Statement of Research (including a short research plan for next three to five years maximum three pages) – citing up to five significant publications, creative work or other scholarly contribution and explaining their significance, and a writing sample.
5. Names of four referees with contact details (who will be contacted only if shortlisted). Please highlight any who is a member of your PhD dissertation committee.
6. A Portfolio of Creative Works (Optional)

In accordance with the Personal Data Protection Act (PDPA), please provide consent for the collection, use and disclosure of personal data, using the NUS Personal Data Consent for Job Applicants form.

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 job holders are to work with PI and the research team to conduct research characterizing airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Experience in applying data analytics, machine learning and handling big data
• Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels
• Fast learner - capable of conducting independent research and proficient literature search, review & summary with strong background in Chemical Engineering / Chemistry / Physics
• Experience in operating instruments measuring physical and/or chemical properties of airborne pollutants
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

Project Overview

SMART M3S is undertaking a project that includes three key work streams:

1) Content: Developing an ontology encompassing various activities, actors, and processes arranged systematically. This involves:

• Extracting content from databases like the Department of Labor's O*Net.
• Human Curation and editing.
• Utilizing Large Language Models(LLMs) for content generation.
• Applying machine learning and statistical techniques to identify clusters of similar activities.

2) Software Tools: Creating a suite of software tools to :

• Browse, edit, and search the online knowledge base.
• Extract content from diverse sources.
• Facilitate human review.
• Integrate LLMs for content generation.
• Support applications demonstrating the ontology's usefulness.

3) Applications: Developing proof-of-concept applications by the end of the one-year project to showcase the ontology's utility. Potential areas include:

• Rapid identification of use cases for generative AI tools.
• Automated generation of detailed workflows and task assignments.
• Stimulating human creativity to address business and societal challenges like climate change and democratic processes.

Responsibilities

The Full Stack Developer will perform the following:

• Design, develop and maintain software tools essential for creating and managing the ontology and its applications.
• Work closely with a multidisciplinary team of researchers, developers, and content specialists.
• Integrate Large Language Models into software applications to enhance functionality.
• Optimize existing codebases for performance and scalability.
• Conduct code reviews, write unit tests, and ensure software reliability.

Requirements

• Bachelor's Degree with proven experience and a strong portfolio
• Deep knowledge and hands-on experience with the following technologies:

1) Frontend:

• Next.js
• TypeScript
• MUI (Material-UI)
• D3.js

2) Backend:

• Node.js
• Firebase and Firebase Cloud Firestore

3) Testing:

• Jest
• Cypress
• Proficiency in LLM Prompt Engineering.
• Excellent analytical and problem-solving skills.
• Ability to work independently and collaboratively in a team environment.
• Strong verbal and written communication skills.

_________________________________________________________________

Applicants are required to complete the following as part of the screening process:

1) Clone and Optimize

-Clone this code sandbox (https://codesandbox.io/p/sandbox/react-usestate-update-nested-in-another-usestate-functional-update-r4lwq0?file=%2Fsrc%2FApp.js)

-Optimize the code for performance and readability.

2) Submit Solution:

-Provide the URL to your optimized solution.

-Include a detailed description of the optimizations made and the reasoning behind them.

GitHub Respository: Link to your GitHub profile showcasing relevant projects.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). 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 Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Job Requirements

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