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

Most of the world now live in cities. Liveable, sustainable and resilient cities are needed to face the looming challenges of climate change, the next pandemics, ageing populations and technological, social and economic disruptions such as what we are currently experiencing.

NUS Cities is a multi-disciplinary, open and inclusive collaborating platform comprising the following three pillars: education, research and advisory.

Education: Educate the next generation of students as well as current practitioners to take an urban systems approach to plan, govern, build and manage cities, using a strong case-based approach taught by both practitioners and academics.

Research: Taking a systems approach tacking some of our biggest urban challenges, and in the process, gradually developing a Science of Cities.

Advisory: Provide strategic advisory services to organisations and cities. NUS Cities will also partner other universities and research institutions locally and internationally, as well as with industry partners worldwide.

NUS Cities hence draws on the varied talent and expertise of the University in its colleges, faculties and departments and centres of excellence to drive research to better plan, manage, and govern, high-density, high-growth, sustainable, resilient, and liveable cities through an urban systems approach and systems thinking.

The full-time appointment for this Research Fellow position is for a contract period of 1 to 2 years with the possibility of renewal.

Responsibilities 

• Establish and manage large databases.
• Interpret and analyse data
• Generate reports and presentation of data to relevant stakeholders
• Generate conference presentations and papers for submission to peer reviewed journals
• Collaborate across teams, contributing to multiple research projects at once
• Work closely with research PIs to develop new research ideas and ensure the successful and timely completion of the project(s)

Qualifications

• Doctorate degree
• Candidates interested in Cities and keen to delve into any of the below research modules are strongly encouraged to apply:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• At least three recent and relevant good journal papers on any of the below modules:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• Proficient in data analysis and visualisation tools in quantitative research or any relevant software and tools
• Keen interest in Cities
• Strong background with extensive experience leading research projects would be an advantage
• Excellent written and verbal communication skills
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organisational culture
• Willingness to contribute to a learning environment

The role is based in Singapore.

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

Most of the world now live in cities. Liveable, sustainable and resilient cities are needed to face the looming challenges of climate change, the next pandemics, ageing populations and technological, social and economic disruptions such as what we are currently experiencing.

NUS Cities is a multi-disciplinary, open and inclusive collaborating platform comprising the following three pillars: education, research and advisory.

Education: Educate the next generation of students as well as current practitioners to take an urban systems approach to plan, govern, build and manage cities, using a strong case-based approach taught by both practitioners and academics.

Research: Taking a systems approach tacking some of our biggest urban challenges, and in the process, gradually developing a Science of Cities.

Advisory: Provide strategic advisory services to organisations and cities. NUS Cities will also partner other universities and research institutions locally and internationally, as well as with industry partners worldwide.

NUS Cities hence draws on the varied talent and expertise of the University in its colleges, faculties and departments and centres of excellence to drive research to better plan, manage, and govern, high-density, high-growth, sustainable, resilient, and liveable cities through an urban systems approach and systems thinking.

The full-time appointment for this Research Assistant position (Business Title: Associate, NUS Cities) is for a contract period of 1 year with the possibility of renewal.

Responsibilities 

• Establish and manage databases.
• Interpret and analyse data
• Assist in generating conference presentations and papers for submission to peer reviewed journals
• Collaborate across teams, assisting in multiple research projects at once
• Assist research PIs to ensure the successful and timely completion of the project(s)
• Any other tasks assigned

Qualifications

• Minimum Masters’ degree in a relevant discipline
• Candidates interested in Cities and any of the below research modules are encouraged to apply:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• Proficient in Data analysis and visualisation tools in quantitative research or any relevant software and tools
• Keen interest in Cities
• Excellent written and verbal communication skills
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• Commitment to the ongoing development of a positive organisational culture
• Willingness to contribute to a learning environment

The role is based in Singapore.

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

Genetic engineering of plants promises to provide sustainable solutions for food security and climate change mitigation. Current genetic engineering technologies using Agrobacterium, viruses and nanoparticles through syringe injection and biolistic bombardment suffer from limitations including narrow ranges of host species, low transformation efficiencies, strict restrictions on cargo types and sizes, tissue damage and unwanted transgene integration into plant genome. A major challenge to deliver exogenous material into plants is the cell wall barrier. The Tay lab will be hiring a research fellow to develop nanomaterials for plant genetic engineering, with the goal to produce plants with enhanced traits such as higher yield and weather-resistant.

Conducting experiments, writing manuscripts

Qualifications

PhD in materials engineering or plant biology; 2 first author papers; ideally, experience in in vivo and in vitro plant work

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

Most of the world now live in cities. Liveable, sustainable and resilient cities are needed to face the looming challenges of climate change, the next pandemics, ageing populations and technological, social and economic disruptions such as what we are currently experiencing.

NUS Cities is a multi-disciplinary, open and inclusive collaborating platform comprising the following three pillars: education, research and advisory.

Education: Educate the next generation of students as well as current practitioners to take an urban systems approach to plan, govern, build and manage cities, using a strong case-based approach taught by both practitioners and academics.

Research: Taking a systems approach tacking some of our biggest urban challenges, and in the process, gradually developing a Science of Cities.

Advisory: Provide strategic advisory services to organisations and cities. NUS Cities will also partner other universities and research institutions locally and internationally, as well as with industry partners worldwide.

NUS Cities hence draws on the varied talent and expertise of the University in its colleges, faculties and departments and centres of excellence to drive research to better plan, manage, and govern, high-density, high-growth, sustainable, resilient, and liveable cities through an urban systems approach and systems thinking.

The full-time appointment for this Research Fellow position is for a contract period of 1 to 2 years with the possibility of renewal.

Responsibilities 

• Establish and manage large databases.
• Interpret and analyse data
• Generate reports and presentation of data to relevant stakeholders
• Generate conference presentations and papers for submission to peer reviewed journals
• Collaborate across teams, contributing to multiple research projects at once
• Work closely with research PIs to develop new research ideas and ensure the successful and timely completion of the project(s)

Qualifications

• Doctorate degree
• Candidates interested in Cities and keen to delve into any of the below research modules are strongly encouraged to apply:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• At least three recent and relevant good journal papers on any of the below modules:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• Proficient in data analysis and visualisation tools in quantitative research or any relevant software and tools
• Keen interest in Cities
• Strong background with extensive experience leading research projects would be an advantage
• Excellent written and verbal communication skills
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organisational culture
• Willingness to contribute to a learning environment

The role is based in Singapore.

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

Most of the world now live in cities. Liveable, sustainable and resilient cities are needed to face the looming challenges of climate change, the next pandemics, ageing populations and technological, social and economic disruptions such as what we are currently experiencing.

NUS Cities is a multi-disciplinary, open and inclusive collaborating platform comprising the following three pillars: education, research and advisory.

Education: Educate the next generation of students as well as current practitioners to take an urban systems approach to plan, govern, build and manage cities, using a strong case-based approach taught by both practitioners and academics.

Research: Taking a systems approach tacking some of our biggest urban challenges, and in the process, gradually developing a Science of Cities.

Advisory: Provide strategic advisory services to organisations and cities. NUS Cities will also partner other universities and research institutions locally and internationally, as well as with industry partners worldwide.

NUS Cities hence draws on the varied talent and expertise of the University in its colleges, faculties and departments and centres of excellence to drive research to better plan, manage, and govern, high-density, high-growth, sustainable, resilient, and liveable cities through an urban systems approach and systems thinking.

The full-time appointment for this Research Fellow position is for a contract period of 1 to 2 years with the possibility of renewal.

Responsibilities 

• Establish and manage large databases.
• Interpret and analyse data
• Generate reports and presentation of data to relevant stakeholders
• Generate conference presentations and papers for submission to peer reviewed journals
• Collaborate across teams, contributing to multiple research projects at once
• Work closely with research PIs to develop new research ideas and ensure the successful and timely completion of the project(s)

Qualifications

• Doctorate degree
• Candidates interested in Cities and keen to delve into any of the below research modules are strongly encouraged to apply:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• At least three recent and relevant good journal papers on any of the below modules:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• Proficient in data analysis and visualisation tools in quantitative research or any relevant software and tools
• Keen interest in Cities
• Strong background with extensive experience leading research projects would be an advantage
• Excellent written and verbal communication skills
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organisational culture
• Willingness to contribute to a learning environment

The role is based in Singapore.

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

Most of the world now live in cities. Liveable, sustainable and resilient cities are needed to face the looming challenges of climate change, the next pandemics, ageing populations and technological, social and economic disruptions such as what we are currently experiencing.

NUS Cities is a multi-disciplinary, open and inclusive collaborating platform comprising the following three pillars: education, research and advisory.

Education: Educate the next generation of students as well as current practitioners to take an urban systems approach to plan, govern, build and manage cities, using a strong case-based approach taught by both practitioners and academics.

Research: Taking a systems approach tacking some of our biggest urban challenges, and in the process, gradually developing a Science of Cities.

Advisory: Provide strategic advisory services to organisations and cities. NUS Cities will also partner other universities and research institutions locally and internationally, as well as with industry partners worldwide.

NUS Cities hence draws on the varied talent and expertise of the University in its colleges, faculties and departments and centres of excellence to drive research to better plan, manage, and govern, high-density, high-growth, sustainable, resilient, and liveable cities through an urban systems approach and systems thinking.

The full-time appointment for this Research Fellow position is for a contract period of 1 to 2 years with the possibility of renewal.

Responsibilities 

• Establish and manage large databases.
• Interpret and analyse data
• Generate reports and presentation of data to relevant stakeholders
• Generate conference presentations and papers for submission to peer reviewed journals
• Collaborate across teams, contributing to multiple research projects at once
• Work closely with research PIs to develop new research ideas and ensure the successful and timely completion of the project(s)

Qualifications

• Doctorate degree
• Candidates interested in Cities and keen to delve into any of the below research modules are strongly encouraged to apply:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• At least three recent and relevant good journal papers on any of the below modules:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• Proficient in data analysis and visualisation tools in quantitative research or any relevant software and tools
• Keen interest in Cities
• Strong background with extensive experience leading research projects would be an advantage
• Excellent written and verbal communication skills
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organisational culture
• Willingness to contribute to a learning environment

The role is based in Singapore.

Location: Geylang East

Working Hrs: 27.5hrs/weekly

Responsibilities:

1. Prepare Science teaching & learning resources based on:

a. Workbook requirements

b. Teaching needs e.g. pull out plant model display when the P3s are learning about plants to be showcased in the lab

2. Maintain cleanliness of the two labs and the equipment

3. Arrange for feeding of the fish in the aquaponics system (both indoor and outdoor), pond at eco-garden

4. Stock-take of equipment at least twice a year

5. Assist in the inventory taking when the external audit asset team comes by

6. Assist teachers in the lab during lab sessions if required

7. Assist teachers in innovative learning lab for Science-related activities whenever possible including setting up of projector to play video in canteen during recess time

8. Assist teachers in preparation of activities for Environmental and Science club

9. Look into the display and loaning of Science books to the students on an ad-hoc basis, either in lab or in the canteen

10. Help to assist in recess activities during Science department events such as integrated learning week

11. Help to assist during Science practical test days, will be required to work longer on some days in Term 2 to prepare and to assist during the days. (Up till 2:30pm, 2 – 3 days prior and after the

practical test days)

Qualifications:

1. Min GCE ‘O’ or ‘A’ Level

2. Have experience working in similar work environment (prior

working experience in a school will be an added advantage)

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 candidate will be joining the Antimicrobial Chemical Biology Lab, a newly established group in A*STAR ID Labs focusing on the development of synthetic antimicrobial compounds for potential therapeutic applications. Scholarship opportunities will be available for those interested in pursuing further education at the master’s or PhD level.

Research projects will encompass various tasks such as:

• Chemical synthesis
• In vitro activity testing
• Understanding mechanisms of action
• In vivo efficacy evaluation.
• Support the team in lab operation
• Upkeep of consumables
• Safety oversight
• Labware procurement
• Documenting experimental procedures and results.

Job Requirements:

• Bachelor’s degree in microbiology, biomedical science, chemistry, chemical engineering, bioengineering, or related field
• Familiarity with basic microbiology (e.g., bacteria/fungi culture, agar plating, PCR) and chemistry (e.g., reaction setup, column purification, HPLC) lab techniques, programming, and/or common graphics software (e.g., Photoshop) will be advantageous.
• Highly motivated and passionate about scientific research
• Good spoken and written communication skills
• Team player
• Receptive and detail-orientated

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.

Contract Period: From 3 Jan 2025 to 31 Dec 2026. Personnel to be deployed at the following hours:

• Mondays to Fridays from 7.30 am to 2.30 pm, inclusive of 1/2 hr lunch break.

• Service not required on Saturdays, Sundays and gazetted public holidays.

• Service not required during Mar, June, Sep and Nov/Dec school holidays unless specified by HOD Science.

Scope of Works:

In the Area of Teaching and Learning

1. To prepare and get ready resources for Science teaching and learning
2. To assist Science teachers in the setting up of experiments, etc. for Science lessons and/or activities and clearing of resources after each Science lesson and/or activity.
3. To assist in the setting up of ICT and Science equipment such as projector, iPads, dataloggers, and microscopes for Science lessons and/or activities
4. To perform yearly inventory and stock taking of Science resources and equipment in the 2 Science Laboratories and TinkerSpace.
5. To organise the Science resources and equipment in the 2 Science Laboratories and TinkerSpace.
6. To maintain cleanliness and assist in ensuring safety in the 2 Science Laboratories and TinkerSpace at all times.
7. To assist in conducting simple Science enrichment activities such as showcasing the life cycles of some animals and creative toys during designated recesses / Science school-based events to complement Science learning in the classroom.

Science Projects

1. To assist in the loan and yearly inventory and stock taking of resources in various Science Programmes e.g.TinkerSpace Programme, Science Sparkles, E2K-Ignite Programmes, etc.
2. To assist the department in monitoring the Aquaponics System including feeding the fishes and harvesting the produce.
3. To assist the department in the feeding and maintainance of the Mealworm Beetles, Stick Insects Enclosure, etc.
4. Must be able to comfortably handle ‘live’ specimens e.g. mealworm beetles Others To do any other duties as assigned by HOD Science.

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 Summary

The Haematological Malignancy Genomics Laboratory, led by Professor Chng Wee Joo, focuses on using advanced genomics and proteomics methods to study the clinical and biological complexities of haematological malignancies such as multiple myeloma (MM), acute myeloid leukemia (AML), and NK/T-cell lymphoma (NKTL). This translational research program aims to discover diagnostic markers, identify novel therapeutic targets, and uncover molecular mechanisms of disease, advancing our understanding of cancer pathogenesis and potential treatments.

We are seeking a Research Assistant to support ongoing research in murine models. This role involves assisting in studies on mouse models to validate discoveries in haematological malignancies, with a focus on preclinical validation of novel therapeutic targets, therapeutic resistance mechanisms, and biomarker identification. This is a hands-on laboratory position requiring proficiency in animal handling, genotyping, and familiarity with experimental protocols involving mouse models.

Job Description

• Animal Model Handling:
  Conduct routine handling and care of laboratory mice, ensuring adherence to ethical and welfare standards.
  Support experimental setups in mouse models to study disease pathogenesis, progression, and therapeutic responses in haematologic malignancies.
  Perform injections, tissue sampling, and necropsies as required for experiments.
• Data Collection and Analysis:
  Assist in collecting and processing biological samples (e.g., blood, tissue) from mouse models for downstream molecular analyses.
  Maintain accurate records of experiments, data collection, and sample inventory in a clinical database for integrated bioinformatics analysis.
• Genomic and Proteomic Support:
  Assist in sample preparation for genomics and proteomics studies, including DNA/RNA extraction and preparation for sequencing and protein assays.
  Support preclinical validation of molecular markers and therapeutic targets identified from genomic studies.
• Laboratory Support and Maintenance:
  Ensure lab equipment related to mouse work is well-maintained and calibrated.
  Follow all safety protocols and maintain a clean, organized work environment.
  Assist in the maintenance of a comprehensive tissue bank, ensuring high-quality source material is available for research.
• Collaboration and Reporting:
  Collaborate closely with senior researchers, assisting in the analysis of data from mouse models.
  Report findings and observations to the research team and contribute to discussions on the impact of preclinical findings on clinical applications.

Requirements

• Bachelor’s degree in Biomedical Sciences, Molecular Biology, or a related field.
• Prior experience in laboratory animal handling, preferably with mouse models.
• Experience in haematological research or genomics/proteomics is an advantage.
• Knowledge of standard laboratory procedures for working with mouse models.
• Strong organizational skills, attention to detail, and ability to maintain accurate data records.
• Familiarity with molecular biology techniques such as DNA/RNA extraction, PCR, and Western blotting.
• Effective communication skills and ability to work collaboratively within a research team.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Job Requirements

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

Job Description:

• Responsible for developing and optimizing ion-implantation and rapid thermal anneal (RTA) processes to support IME's various program requirements.
• Responsibilities include diagnosing malfunctions and using test equipment or software to test faulty hardware parts, applying knowledge of the functional operation of the Ion implanter and RTA equipment.
• Collaborates closely with vendors to optimize equipment performance and reduce tool downtime.
• Setup and execute design of experiments (DOEs) at various dose, energy, tilt, and twist levels, and evaluate experimental data to meet required process specifications.
• Responsible for analyzing test data related to implant-related defect formation, and quantifying and minimizing defects.
• Champion process window characterization and evaluation to drive quality and yield improvement.
• Closely collaborate with process integration teams to implement technology roadmaps, define process capability requirements, and address structural implications and constraints related to ion-implantation and RTA processes.
• Work with fab team in establishing statistical process control for ion-implantation and RTA processes.
• Generate and present reports to both internal and external customers.

Requirements:

• Bachelors/Masters in Materials Science and Engineering, Physics, Electrical Engineering, or closely related fields are welcome to apply.
• 3 years direct industry experience in ion-implantation, RTA and SiC MOSFET fabrication is preferred.
• Extensive proficiency in medium and high energy/current ion implantation, and RTA processes, including a comprehensive knowledge of equipment, equipment parts, and troubleshooting techniques to minimize equipment downtime.
• Good understanding of wide bandgap semiconductor materials and their corresponding dopant species.
• Expertise in ion channeling, ion bombardment, and their impact on the implant species profile.
• In-depth comprehension of defect formation and annihilation processes in the implanted region of semiconductors.
• Familiarity with essential device properties resulting from ion implantation and RTA processes.
• Understanding of the hardware of ion-implantation and RTA systems is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Job Description:

• Responsible for developing and optimizing ion-implantation and rapid thermal anneal (RTA) processes to support IME's various program requirements.
• Responsibilities include diagnosing malfunctions and using test equipment or software to test faulty hardware parts, applying knowledge of the functional operation of the Ion implanter and RTA equipment.
• Collaborates closely with vendors to optimize equipment performance and reduce tool downtime.
• Setup and execute design of experiments (DOEs) at various dose, energy, tilt, and twist levels, and evaluate experimental data to meet required process specifications.
• Responsible for analyzing test data related to implant-related defect formation, and quantifying and minimizing defects.
• Champion process window characterization and evaluation to drive quality and yield improvement.
• Closely collaborate with process integration teams to implement technology roadmaps, define process capability requirements, and address structural implications and constraints related to ion-implantation and RTA processes.
• Work with fab team in establishing statistical process control for ion-implantation and RTA processes.
• Generate and present reports to both internal and external customers.

Requirements:

• Bachelors/Masters in Materials Science and Engineering, Physics, Electrical Engineering, or closely related fields are welcome to apply.
• 3 years direct industry experience in ion-implantation, RTA and SiC MOSFET fabrication is preferred.
• Extensive proficiency in medium and high energy/current ion implantation, and RTA processes, including a comprehensive knowledge of equipment, equipment parts, and troubleshooting techniques to minimize equipment downtime.
• Good understanding of wide bandgap semiconductor materials and their corresponding dopant species.
• Expertise in ion channeling, ion bombardment, and their impact on the implant species profile.
• In-depth comprehension of defect formation and annihilation processes in the implanted region of semiconductors.
• Familiarity with essential device properties resulting from ion implantation and RTA processes.
• Understanding of the hardware of ion-implantation and RTA systems is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Deployment:

The Science Laboratory Assistant is required to work 42.5hours per week, spread over 5 days.

1. During term time, Working hours: 7:00am to 4:15pm on Mondays to Fridays (excluding *45min lunch break).
2. During school holidays,Working hours: 8:00am to 5:15pm on Mondays to Fridays (excluding 45min lunch break). Stationed at GO to assist in Admin Work *12:45pm – 1:30pm - Lunch.

Scope of Works:

The duties and responsibilities of the Science Laboratory Assistant:

1. Prepare teaching resources for Science lessons, EE/LLP level programmes, E2K enrichment classes, i.e., packing of materials needed for experiments, setting up of, clearing away and cleaning of experimental set-ups and /or demonstration apparatus as instructed by the Level Reps and Science teachers;

2. Prepare resources for the conduct of Science Practical Tests and maintain examination integrity;

3. Ensure the maintenance (daily cleanliness and upkeep) and safety requirements of the following Special Rooms / Spaces under the Science Department;

• - Science Rooms
• - Maker Studio(s)
• - Learning spaces (e.g. EE Hub, Outdoor Experiential Learning spaces such as the Ecogarden, Rainwater Harvest system, Aquaponics/hydrophonics system, Butterfly Garden, Gardening areas, etc)

4. Adhere to the following requirement stated in the Safety Handbook:

PART A

• - Maintain a safe and tidy lab environment.
• - Display general laboratory safety guidelines clearly for all laboratories.
• - Display the evacuation route prominently in each laboratory.
• - Ensure that all apparatus and equipment are safe for use.
• - Ensure that chemicals are labelled properly in accordance to GHS in Chapter9.
• - Ensure that spills are handled in accordance with guidelines.
• - Ensure that chemicals (see Section 11.3.5.) and biological materials (see Section 10.3.7.) are disposed of appropriately.
• - Store, use and handle chemical explosive precursors (EP) in accordance with the regulations stated in Section 11.2.

PART B

• - Maintain laboratory equipment, apparatus, PPE, materials and specimens in good working condition.
• - Report all faulty machines and equipment immediately, and display an "Out of Order" sign prominently on the machines/equipment.
• - Check that safety devices in the laboratory, such as emergency eyewashers, showers and fire extinguishers, are in working condition.
• - Inspect gas and water systems and initiate necessary repair or maintenance work.
• - Maintain a record or file of the Safety Data Sheets (SDS) that accompany purchased chemicals (see also Section 11.3.1. on the classification of hazardous chemicals).
• - Keep a stock book and breakage record and indicate necessary replacement.
• - Prepare an inventory of stocks annually.
• - Maintain a usage record.
• - Check and replenish first aid supplies (see Annex B for the minimum contents of a First Aid Kit).
• - Guide or supervise laboratory attendants, or other personnel working in the lab, on laboratory safety.

5. Support Science/Maker-related CCAs on CCA days from 7:30am to 9:00am;

6. Oversee the use of the Maker Studio(s) by students during recess and after school;

7. Carry out regular maintenance of Science resources/apparatus and the SPARKLES Kit;

8. Carry out internal stock take of resources and inform Science HOD/LH SC on stocks to be replaced;

9. Keep record of internal stock-take, breakage record, replacement record;

10. Prepare for and support HOD/LH Science in the physical external stocktake with personel from ST Engineering;

11. Carry out follow-up actions after external stocktake, guided by HOD/LH SC;

Administrative duties and responsibilities of the Science Laboratory Assistant during school holidays:

1. The School Laboratory Assistant is to perform the following administrative duties:

• - front desk duties (e.g. handling calls in general office, attending to students)
• - filing and organising documents
• - packing of items
• - assisting ESOs
• - administration tasks assigned by the Vice-Principal / Admin Manager.

2. To be responsible for the proper maintenance of all the First Aid Boxes in the school

Administrative duties and responsibilities of the Science Laboratory Assistant during term time on an ad hoc basis:

1. The lab Asst will be called upon to assist in the administrative duties listed in item 1 when needed.

Deployment:

• Mondays to Fridays: 8:00am to 1:30pm, not inclusive of lunch break
• Service not required on Saturdays, Sundays and gazetted public
• holidays

Scope of Works:

1. Prepare Science teaching & learning resources based on:

• Workbook requirements
• Teaching needs e.g. pull out plant model display when the P3s are learning about plants to be showcased in the lab

2. Maintain cleanliness of the two labs and the equipment

3. Arrange for feeding of the fish in the aquaponics system (both

indoor and outdoor), pond at eco-garden

4. Stock-take of equipment at least twice a year

5. Assist in the inventory taking when the external audit asset team

comes by

6. Assist teachers in the lab during lab sessions if required

7. Assist teachers in innovative learning lab for Science-related

activities whenever possible including setting up of projector to

play video in canteen during recess time

8. Assist teachers in preparation of activities for Environmental and

Science club

9. Look into the display and loaning of Science books to the students on an ad-hoc basis, either in lab or in the canteen

10. Help to assist in recess activities during Science department

events such as integrated learning week

11. Help to assist during Science practical test days, will be required

to work longer on some days in Term 2 to prepare and to assist

during the days. (Up till 2:30pm, 2 – 3 days prior and after the

practical test days)

12. Must be confident in handling live specimens e.g. changing and clean of live stick insect tanks / changing leaves stalks for live caterpillars.

Deployment:

• Mon to Fri: 7.15 am to 4.45 pm
• Service not required on Sat, Sun and PH's

Scope of Works:

1. Provide support to teachers in teaching and learning
2. Assist in the preparation of apparatus, equipment and reagents for laboratory lessons
3. Maintain general cleanliness of equipment and workplace
4. Simple administrative and office work as and when request
5. Any other duties assigned by Science HOD or School

Position Overview:

Black Sesame Technologies is a rapidly expanding artificial intelligence company backed by substantial VC funding, dedicated to pioneering algorithms and chips for artificial intelligence and image processing. As a Research Scientist in this role, you will collaborate closely with leading researchers to forge cutting-edge perception algorithms aimed at tackling real-world challenges in autonomous driving and beyond. The primary focus of perception is to identify and comprehend the surrounding environment of autonomous vehicles, supporting L2 and L3 automated driving capabilities. This involves constructing a real-time virtual representation of the local environment by processing input data predominantly from cameras, alongside data from complementary sensors such as radars, IMU, and ultrasonic sensors.

Job Description:

• Develop deep learning-based perception algorithms encompassing object detection, lane detection, segmentation, depth estimation, and other related tasks.
• Innovate state-of-the-art network architectures and training methodologies, assessing their efficacy in addressing vision-related challenges.
• Execute deep network compression tailored for ASIC platforms.
• Stay abreast of the latest advancements in deep learning and computer vision literature, proactively proposing novel concepts.
• Contribute to patent and research paper publications.

Job Requirements:

- Master Degree/ PhD in Computer Science, electrical engineering, or a related field.

- Possess 3+ years of experience in computer vision / machine learning development.

- Demonstrated expertise in research and development within one or more of the following domains:

• Deep network development, particularly with visual data.
• Object detection and tracking.
• Stereo / optical flow / depth estimation.
• Multi-view geometry and 3D computer vision.
• Structure from motion.
• Network compression and optimization.
• Network-based sensor fusion.
• Mathematical optimization.
• Proficient programming skills in Python (knowledge of C++ is advantageous).

Summary

Apple is looking for a thought leader in Market Research to support research and insight needs in Asia markets especially Southeast Asia and India. This position is responsible for developing research plans, managing local specific projects, working closely with local stakeholders and Research team to deliver insights that unlocks new growth opportunities for the local market and informs decision making. We’re looking for an expert in consumer research and research methodologies, highly capable and agile in analyzing and synthesizing data across different sources, translating data into actionable insights and linking it to business issues. The candidate should also have creative visualization and impactful presentation/communication skill. The key success factor in this role is the ability to design, oversea and utilize research programs to timely capture consumer voice and address unique local business needs. The success of this role will also highly depend on strong collaboration with other research members and local function teams.

Description

• Partner with local teams in SEA and India to identify the key local business issues, create research brief and develop research plan that delivers compelling insights and provides thought leadership.
• Lead, develop and manage primary consumer research execution for data collection and reporting, and conduct advanced analysis when needed.
• Communicate and deliver meaningful research results to key stakeholders and support insights communication for local needs.
• Manage syndicated data sources as well and triangulate data from various sources to deliver broader strategic insight.
• Work closely with other research members in the team to make sure the best synergy, high quality and seamless communication across the projects & deliverables in the Asia region. Support projects for other markets in the region when needed.
• Collaborate with global research team on projects involving SEA and India where local input & participations are required.
• Identify high quality local data sources and local agencies. Bring innovation to research projects including recommendation of relevant approaches that suit local markets best.
• Travel to US, China and other Asia markets is required.

Minimum Qualifications

Bachelors degree in market research or human behavior, sociology or statistics related field.

At least 7-8 years of demonstrated success in customer insights / marketing research in a consumer technology / consumer products company or market research firm.

Preferred Qualifications

• Intellectually curious with proven track record in quantitative and qualitative survey analysis.
• Comprehensive experience in market research project and agency management.
• Highly analytical, capable to cut data for different needs and run advanced analysis (regressions, driver analysis, factor analysis and cluster analysis etc.) when needed.
• Extremely strong communication, visualization and articulation skills to deliver meaningful insights to shape business decisions.
• Curiosity and perseverance, a drive for focus and excellence, ability to multi-task and ask questions.
• Dynamic and highly motivated individual who works well in a fast-paced and changing environment and always willing to learn new things.
• Deep expertise with application of a broad range of consumer research techniques and methodologies.
• Ability to efficiently manage and implement quick-turnaround, high volume of projects
• Great understanding of consumer technology industry.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A full-time Research Assistant position in the team led by Assistant Professor Chua Wei Ling is available at the Alice Lee Centre for Nursing Studies, National University of Singapore. The selected candidate will work closely with the Principal Investigator in the research domains of (i) nursing staffing and patient outcomes and (ii) post-sepsis syndrome.

This position provides an excellent opportunity for candidates looking to further experience in research with a view to a Master’s and/or PhD with the Principal Investigator.

Appointment will be made on a 12-month contract basis in the first instance, with the possibility of extension, depending on project commitments and candidate’s career objectives.

Duties

The appointee will be required to:

1. Oversee the administration and general management of the research projects, including support with grant and ethics application and liaise with relevant stakeholders in preparing research agreements.
2. Conduct research fieldwork, including recruiting and managing participants, data collection, data analysis.
3. Assist in preparing reports and meeting materials for stakeholders.
4. Work on other tasks as assigned.

Qualifications

The applicant should:

1. have a Degree in nursing, health-related, social-science disciplines; preferably with some experiences in research;
2. be proficient with Microsoft Office Suite applications, e.g., Microsoft Word, Excel, PowerPoint;
3. have excellent project management, organisation, coordination, and problem-solving skills;
4. have excellent interpersonal skills and written and verbal communication skills in English;
5. be a good team player with a strong sense of responsibility;
6. be highly motivated individual with capacity to work independently;
7. Proficiency in Mandarin required as the position will require working with Chinese-speaking participants
8. Experience in planning, managing, and implementing healthcare-related research projects will be an added advantage;
9. Proficiency in data analysis applications (e.g. SPSS, Jamovi, Stata, R & etc) will be an added advantage.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in research and project management.

Applicants should be a Singaporean Citizen or Permanent Resident.

Formal application: Please submit your application, indicating current/expected salary, supported by a CV and complete contact information of 3 referees via the NUS Careers Portal.

Only shortlisted candidates will be notified.

Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders, e.g., ...
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• PhD or Master degree in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc....
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to optimize the spray drying processes for collagen and gelatine powder production, ensuring high-quality and consistent output.

Key Responsibilities

• Manage research project with Principal Investigator (PI), Co-PI and team members to ensure all project deliverables are met
• Participate in brainstorming and ideation, conduct research and experiments, create functional models, and maintain documentation of design development
• Develop system from embodiment of concept to detailed design of parts and assemblies, including selection of standard components, through application studies, analyses and calculations
• Organise procurement of required electrical and mechanical components as well as commercial devices
• Guide students to carry out assembly of submodules, integration of system and testing of machines
• Coordinate maintenance of associated equipment with POD technical officers when required
• Perform risk assessment, and ensure compliance with workplace safety and health regulations

Job Requirements

• Bachelor's degree or higher in mechanical engineering, or related field.
• Professional-level competency in mechanical system and part design
• Strong prototyping skills
• Proficiency in CAD software, such as SolidWorks or Creo Parametric
• Mechanical engineering degree
• Minimum design experience of 5 years

Key Competencies

• Show strong initiative and take ownership of work.
• Demonstrates expertise in experimental design and execution, with good analytical thinking and problem-solving skills.
• Able to build and maintain strong working relationships with people within and external to the university.
• Good communication and interpersonal skills.

A Research fellow position is available in Dr. Anand Andiappan Laboratory at the Singapore Immunology Network (SIgN). The successful candidate will support the research work that focuses on studying inflammaeing in the context of skin aging in Asian populations.

The candidate will work on primary cells from cohorts and cell culture systems towards understanding functional immune responses in skin immune interactions and recapitulating them in in-vitro and ex-vivo systems. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by microscopy, and associated data analysis with statistical tested.

Duties will include managing safety in the laboratory, creating Standard Operating Procedures (SOPs) and laboratory risk assessments, maintaining laboratory inventories, perform other laboratory administrative duties and operations such as ordering and tracking laboratory budget.

Job Requirements:

• PhD Degree in Skin Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with experience in dermatology, immunology, molecular allergy and clinical immunology
• At least 2 years experience with human and mouse blood/tissue sample handling and in vitro cell culture and processing (e.g. isolation of specific immune cell populations, differentiation and activation assay)
• Experience with flow cytometry analysis for different immune cell populations and functional immune assays
• Highly motivated to work in research laboratory and able to perform tasks independently
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills

Please submit your application with a cover letter summarizing your research experience.

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

Job Responsibilities:

• Design and develop high-quality, scalable, and maintainable mobile applications.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization, and automatization.
• Stay up-to-date with the latest trends and technologies in mobile development.

Requirements:

• 1-2 years of experience in IOS/Android App development.
• Bachelors degree in Computer Science, Information Technology, or a related field.
• Strong knowledge of Flutter, React, Dart and native programming language.
• Proven experience in building mobile applications for Android and iOS.
• Understanding of the full mobile development life cycle.
• Familiarity with RESTful APIs to connect mobile applications to back-end services.
• Strong understanding of design principles and user interface guidelines.
• Excellent problem-solving skills and ability to work in a team environment.
• Good communication and interpersonal 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.

We are looking for a qualified individual to be involved in the below project. The candidate will work with a dynamic team to study the metabolic regulation of immune cells during the NASH to NASH-HCC progression.

Metabolic regulation of immune dysfunction during the progression of NASH to NASH-HCC

Description:

The lack of effective treatments for non-alcoholic steatohepatitis (NASH) and NASH-associated hepatocellular carcinoma (NASH-HCC) underscores the need to understand the transition from NASH to NASH-HCC. Identifying why some NASH patients develop HCC while others do not is a significant challenge, with growing evidence indicating that immune dysregulation plays a crucial role in this progression. The interstitial space, where cells receive nutrients and signals, significantly impacts immune function, suggesting that understanding the liver"s metabolic environment could reveal how immune cells behave during NASH progression to HCC. By profiling interstitial fluid metabolism and single-cell transcriptomics, the team aims to understand the metabolic regulation of the immune landscape in NASH to NASH-HCC progression. Using a high-fat, high-fructose, and high-cholesterol dietary mouse model that mirrors human progression, the team will study the metabolic and immune changes leading to NASH-HCC. In addition, the team’s preliminary findings show immune alterations and reduced levels of the bile acid hyodeoxycholic acid (HDCA) during NASH-HCC transition. The identified candidate will also test the potential of HDCA in preventing NASH to HCC transition, and further explore HDCA"s effects on immune cells.

Job responsibilities:

• Conduct in vitro wet lab experiments (e.g. cell culture, molecular biology and assays, microscopy etc)
• Conduct in vivo animal experiments (e.g. diet/treatment regimes, body weight & composition analyses, metabolic phenotyping, blood sampling etc)
• Conduct end-point animal experiments (e.g. terminal blood collection, tissue collection and sample preparation, whole tissue/organ imaging, serum measurements etc)
• Analyze collected data and maintain accurate monitoring and reporting of experimental set-up, results and research findings
• Interact and collaborate with and assist other researchers and collaborators on related projects
• Communicate regularly with supervisor and join discussions with Principal Investigator and rest of the lab to discuss scientific progress and direction
• Assist in the preparation of grant applications and grant process reports
• Present findings both orally and in written form via presentations and publication in peer-reviewed journal
• Assist in the preparation of figures and manuscripts on the research projects for publication in peer-reviewed journals
• Contribute to other program-related projects and organizations and with the general scientific community across A*STAR

Job Description

A scientist or senior scientist position is available at the Functional Proteomics Laboratory for setting up, developing methods and performing targeted and untargeted metabolomics experiments. You will work on mass spectrometry-based identification of small molecule binders of RNA and small molecule metabolomics projects.

• Develop and run standardized protocols for untargeted metabolomics (or targeted metabolomics panels) for small molecule analysis.
• Design workflows and optimize analytical methods for performing targeted/untargeted metabolomics experiments for different sample mediums (Plasma/Urine/Tissue).
• Work with different collaborators and lead projects for small molecule metabolomics analysis on various sample types.
• Conceptualise, design and develop metabolomics assays for quantification of small molecules.
• Write and present research findings for conferences and publications.
• Contribute to project management, provision of guidance to junior researchers, including research officers.

Job Requirements

• Ph.D. degree in Molecular Biology, Biochemistry, Chemical Biology, Analytical Chemistry or a related discipline.
• Strong expertise in small molecule mass spectrometry metabolomics (preferred untargeted small molecule metabolomics expertise) with good publication record.
• Experience with liquid chromatography and mass spectrometry instrumentation, sample preparation techniques, data acquisition and interpretation.
• At least 2 years working experience in the field of metabolomics will be preferred.
• Proficiency in data processing, data analysis and interpretation will be advantageous.
• Responsible, organized, able to work independently and with a team.
• Good communication skills for scientific presentation and scientific writing.
• Optional: Prior experience with R or other data analysis tools