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

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.

JOB SUMMARY
The Information Technology Associate is a technology professional proficient in many facets of information technology without any specific specialty, who possesses general business knowledge and soft-skills allowing him/her to be adaptable in a wide array of IT-related work environments. The IT Associate is able to fulfill different supporting roles depending on specific technology needs, ranging from technology support, web page design, or application training, to data security, software testing, project management, etc. The IT Associate performs basic and recurring functions of IT departments within the organization, and often is the front line workers for those departments. He/she has knowledge of commonly-used concepts, practices, and procedures within the IT field. Relies on instructions and pre-established guidelines to perform the functions of the job.

ESSENTIAL DUTIES AND RESPONSIBILITIES
· Perform technical and/or administrative tasks to ensure functionality and efficiency of the IT ecosystem.
· Collaborate with other IT professionals (including remote ones) to maintain the department’s standards, functionality, and performance.
· Ensure Customer Satisfaction with the utilization and results of the established processes and procedures.
· Maintain positive relations with all employees and seek suggestions/ways of improving compliance of IT processes and systems
· Participate in process, procedure, and systems continuous improvement, identify creative ways to reduce costs by streamlining them, and assure they are efficient and not redundant.
· Participate in project activities and ensure timely project delivery. Organize own work effectively and efficiently.
· Maintain discretion and confidentiality in all areas pertaining to data and proprietary information whether internal to Jabil or customer specific
· Maintain discretion and confidentiality in all areas pertaining to IT systems
· Participate in the exchange of ideas within the department. Ask questions and encourage input from other team members
· Understand and embrace the business and IT strategic direction
· Provide regular updates to appropriate managers and conference with them on complex or unusual situations
· Demonstrate commitment to customer service: anticipate, meet and exceed customer expectations, solve customer problems quickly and effectively, make customer issues a priority
· Exchange knowledge and information with other Jabil facilities to ensure best practices are shared throughout the Jabil organization
· Ensure 100% adherence to all company, IT and department policy, processes and procedures
· Comply and follow all procedures within the company security policy.
· May perform other duties and responsibilities as assigned.

JOB QUALIFICATIONS
KNOWLEDGE REQUIREMENTS
Must demonstrate self-sufficiency on the following skills/competencies:
· Has the ability to follow written and verbal directions.
· Has the ability to work effectively under pressure with constantly changing priorities and deadlines.
· Proficiency in use of personal computers, Microsoft Office products (Excel, Word and PowerPoint) and e-mail.
· Business Relationship Management – Practices building strong relationships with business, operations, and other IT groups.

Must be able to acquire the following skills/competencies under direction of others:
· Accountability – Accounts for his/her activities, accepts responsibility for them, and to discloses the results in a transparent manner.
· Action/Results Oriented - Brings full energy to things he/she sees as challenging; enjoys working hard; can act with a minimum of planning; seizes more opportunities than others.
· Business acumen - Knows how the business works; demonstrates knowledge in current and possible future policies, practices, trends, technology, and information affecting his/her business and organization; knows the competition; understands how strategies and tactics work in the marketplace.
· Detail oriented - Has an eye for details and makes a conscious effort to understand the actual cause behind an occurrence.
· Emotional intelligence - Has the ability to monitor his/her own and other people's emotions, to discriminate between different emotions and label them appropriately, and to use emotional information to guide thinking and behavior.
· Presentation Skills - Is effective in a variety of formal presentation settings: one-on-one, small, and large groups, with peers, direct reports, and bosses.
· Sense of urgency - Acts with the realization that efficiency is vital to success, and makes decisions and drives activities in the organization to meet important windows of opportunity.
· Business results orientation - Understands the process of figuring out how to get the right requirements, no matter the challenges faced, and stays resolutely focused on the core principles of gaining alignment and achieving clarity. Ensures that the project and efforts are consistently focused on delivering value for the organization.
· Communication skills - Is able to convey information to another effectively and efficiently.
· Decision making (problem solving) - Is able to forecast the outcome of each option, and based on all these items, determine which option is the best for that particular situation.
· Learning agility - Has the ability to learn, grow, and change over time and consequently develop new skills, rather than simply enhance those that he/she may already have.
· Teamwork - Works collaboratively with a group of people in order to achieve a goal.
· Project Management methodologies – Displays and applies knowledge on Project Management methodologies, specifically on Waterfall and Agile.
· Risk and issues management - Understands the process of identification, analysis, assessment, control, and avoidance, minimization, or elimination of unacceptable risks and/or issues.
· KPAs, metrics and SLA tracking - Understands and applies the tools and techniques to define, measure and control the performance of the project.

EDUCATION & EXPERIENCE REQUIREMENTS

• Bachelor’s degree required; degree in Computer Science, Engineering or Business discipline preferred. Diploma holders with experience will be considered.
• 0 to 1 year IT experience preferred or an equivalent combination of education, training or experience.

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:

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 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 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

Job Descriptions

As a member of the CGH care team, you will work closely with nurses, and other healthcare professionals to deliver quality care to patients. You will perform basic nursing care activities for patients and assist in ward administrative functions to facilitate smooth operations in inpatient care, but not limited to the following areas:

Patient Care
• Record vital signs, assist in wound dressing, perform blood glucose testing and specimens collection, assist patients with general hygiene and in other nursing procedures as required
• Perform admission, transfer and discharge of patients
• Perform any other supportive duties as required

Visitor / Patient Services
• Engage patients and visitors to understand their needs

Admin / Operation support
• Perform ward administration work such as coordination of various services, inventory management, and participate in quality improvement initiatives

Job Requirements
• Minimum GCE ‘N’ or ‘O’ Levels
• Prior working experience as a paramedic or in a ward setting will be advantageous
• Good interpersonal skills, able to communicate with people at all levels effectively
• Independent, highly organized, able to work in a fast-paced environment
• Proficient in MS Office applications
• Able to perform rotating shifts, including weekends and public holidays
• Training will be provided

Kindly 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.

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.

Job Scopes:

• Sales Associate/Cashier for our franchised 7-Eleven convenience store.
• Greet customers with a smile and provide friendly, helpful service.
• Go the extra mile to create a welcoming and positive store environment.
• Accurately and efficiently process transactions using our point-of-sale (POS) system.
• Actively engage with customers to promote products and special offers.
• Monitor inventory levels and report low stock to management.
• Maintain a clean, organized, and well-stocked store environment.
• Replenish shelves and arrange products according to the 7-Eleven planogram and ensure proper product rotation (First-In, First-Out) to minimize waste.
• Assist with maintaining the cleanliness of the store.

Benefits/Perks include:

• Additional shift allowance as followed:

1. 3pm to 11pm: SGD5.00 per day
2. 11pm to 7am: SGD8.00 per day

• Medical incentive
• Sales performance incentive
• Annual performance bonus up to 1.5x your salary
• Travel and laundry allowances

SSMC (Systems on Silicon Manufacturing Company Pte. Ltd.), is a Joint Venture between NXP and TSMC. We offer flexible and cost effective semiconductor fabrication solutions by maintaining fully equipped SMIF cleanroom environment, 100% equipment automation and proven wafer-manufacturing processes.

At SSMC, every career journey is unique and rewarding. We're looking for innovative, passionate, and talented people like you to join our team.

We’re searching for an Associate Engineer to be part of our Diffusion WET Process Department diverse team of talent.

What you will be working on:

• Perform shift duties (12-hour shift) to support the running of Production in the module and ensure that process integrity for machines is in place for production
• Assist Engineers in the qualification and fine tuning of processes for production
• Trouble-shoot process related issues and minimize the time lots are on hold
• Monitor and improve on the qualified process using SPC and other statistical tools
• Co-ordinate with Specialists to ensure that work is carried out efficiently to meet module objectives and that SOPs are strictly followed
• Assist in implementing process improvement projects
• Assist new Associate Engineers on their On-The-Job-Training (OJT) by acting as their buddy
• Participate in QIT programs to improve productivity and output quality of the module
• Work with QA on internal audit
• Create job-files for metrology tools for production set-up, and housekeeping of files
• Maintain good housekeeping in the production area, ensuring good safety practice and also safe custody of tools, equipment and other properties belonging to the Module

More about you:

• Diploma / ITC / NTC in Electrical / Electronics / Mechatronics / Mechanical/ Microelectronics / Chemical Process Technology
• Able to perform 12-hour rotating shift
• Team Player

SSMC is committed to equal employment opportunities and abides by the Tripartite Guidelines on Fair Employment Practices (TGFEP). All qualified applicants will receive non-discriminatory consideration for employment on the basis of merit and regardless of age, race, gender, religion, marital status and family responsibilities, or disability, or any other attributes as protected by the relevant laws.

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.

• Sales Associate/Cashier for 7-Eleven convenience store.
• Able to work at least 24 hours a week (8 hours min a day) for part time.
• Greet customers with a smile and provide friendly, helpful service.
• Go the extra mile to create a welcoming and positive store environment.
• Accurately and efficiently process transactions using our point-of-sale (POS) system.
• Actively engage with customers to promote products and special offers.
• Monitor inventory levels and report low stock to management.
• Maintain a clean, organized, and well-stocked store environment.
• Replenish shelves and arrange products according to the 7-Eleven planogram and ensure proper product rotation (First-In, First-Out) to minimize waste.
• Assist with maintaining the cleanliness of the store.

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

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.

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

• sales associate/cashier for 7-Eleven convenience store.
• Greet customers with a smile and provide friendly, helpful service.
• Go the extra mile to create a welcoming and positive store environment.
• Accurately and efficiently process transactions using our point-of-sale (POS) system.
• Actively engage with customers to promote products and special offers.
• Monitor inventory levels and report low stock to management.
• Maintain a clean, organized, and well-stocked store environment.
• Replenish shelves and arrange products according to the 7-Eleven planogram and ensure proper product rotation (First-In, First-Out) to minimize waste.
• Assist with maintaining the cleanliness of the store.

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

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

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

Job Description:

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

Job Requirements

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

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

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

Are you a biomedical researcher motivated to pursue an outstanding career in cancer research with a focus on structural biology?

Cancer will affect more than 1 in 3 Singaporeans. At the Cancer Science Institute (CSI), our mission is to be at the global forefront of research to overcome this scourge. Our innovative international faculty, cutting-edge facilities, supportive working environment and competitive package together enable each of our staff to realize their maximum potential.

We now seek a Research Scientist/ Senior Research Scientist to join the team of Prof. Ashok Venkitaraman. This is an exciting opportunity to work closely with a world-leading cancer researcher to undertake pioneering research on the role of genome instability in human carcinogenesis (eg., see Venkitaraman Science (2014) PMID:24675954 and Venkitaraman DNA Repair (2019) PMID:31337537).

Please refer to https://csi.nus.edu.sg/researcher/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

For this position, we would require a post-doctoral fellow to engage in designing and running of multiple CRISPR genome screens, to interrogate and identify genes that are responsible for a host of different genome instability phenomenon uncovered in our lab in human carcinogenesis

We are looking for highly motivated individuals with the ability to work in a team environment. Genuine enthusiasm for science, willingness to think beyond established concepts and to try and learn new experimental and analysis tools.

Duties And Responsibilities

Laboratory skills:

• Required experience with CRISPR gene editing and screens
• Required experience with mammalian cell culture
• Required experience with molecular cloning and biochemical analyses (qPCR, Western, co-IP, etc.)
• Good to have experience in high-throughput sequencing and data analysis (RNAseq etc.)

Qualifications

• PhD in biology or related fields
• Strong track record of research achievement evidenced by high-quality publications in a relevant field
• High-level experience in hands-on use of a wide range of relevant research methods
• Skills in working independently and creatively to solve experimental problems
• Effective communication and presentation skills, with experience in communicating scientific work including scientific papers, presentations and reports.