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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights 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 work with the PI in applied cryptography, especially in zero-knowledge proofs.

Job Requirements

• PhD degree in Computer Science or other closely related disciplines
• Excellent knowledge in applied cryptography and zero knowledge proof
• Strong publication record in applied cryptography and zero knowledge proof

Location: Punggol/Tampines

Working Hrs: 44hrs/weekly

Responsibilities:

1. Assist teachers in the preparation of teaching and learning resources and specimens needed.
2. Assist in the preparation of resources for science practical examinations.
3. Maintain all live specimens and laboratory equipment.
4. Conduct periodic stock-taking on laboratory supplies in science laboratory and advise Science HOD / LH on stock level
5. Conduct daily cleaning of the Life Science and Physical Science laboratories.

Qualifications:

• Like and has the ability to interact with children
• Have experience working as a Science laboratory assistant in primary schools
• Familiar with simple laboratory apparatus and their uses
• Be able to prepare resources as required by the school with minimal supervision

Core Requirements of the Post

In fulfilling the requirements of the post, the Science Laboratory Technician will aspire to the highest standards of professionalism and will, in particular:

▪ Schedule the availability of, prepare and provide apparatus, equipment and other teaching materials as requested by the Science Teachers in the Faculty. These may include chemicals, biological material, equipment, models, and disposable material such as stationery.

▪ Collect and clear away equipment and chemicals, and other teaching material once it is finished with, including safely disposing of waste and washing-up apparatus (using the dishwasher, where appropriate)

▪ Check for faulty and damaged equipment after each lesson, report to the Science Teacher and or Head of Faculty (as appropriate), and repair or replace the equipment, if possible.

Areas of Responsibility and Key Tasks Technological and Resource Management

The Science Laboratory Technician will:

▪ Operate an up to date, efficient, remotely accessible, online system of monitoring the storage of chemicals, equipment and materials used in the laboratories.

▪ Monitor breakages of equipment and ensure that active inventory levels are maintained.

▪ Assist in updating record of inventory levels and locations of backup equipment, such that end of year ordering is efficient.

▪ Assist in annual, final, stock check of all chemicals, disposable materials, glassware and other apparatus, so that new materials may be ordered.

▪ Adhere to NAE and IGCSE/IBO/CIS/WASC specifications and requirements

▪ Keep storage areas clean and well organised

▪ Clean all equipment including special equipment and glassware needing special care or treatment.

▪ Ensure the safe storage, care and handling of chemicals, safe disposal of residues and wastes, including micro-organisms.

▪ Unpack and check orders within one week of delivery. Inform HoF if any equipment is faulty or materials are missing, and follow up as directed.

▪ Review equipment needs within the department and advise on purchase of new and replacement of equipment. Order materials as requested

Safety and Risk Assessing (ensuring that we all are aware of safety issues)

The Science Laboratory Technician will:

▪ Have a complete CLEAPSS Hazcards reference for all chemicals in the prep room

▪ Ensure written Science Laboratory Technician specific Risk Assessments are in place for all equipment, apparatus and materials (as necessary) prior to their use, and writing and preparing the risk assessments as necessary.

▪ Provide CLEAPSS Hazcards every time a chemical is used in class

▪ Comply with all Health and Safety standards and regulations issued by Stamford and external agencies including NAE, IGCSE, IBO, CIS, and WASC

▪ Main First-aider within the faculty (Training will be provided).

Technical Support (assisting others to plan for use and use equipment)

The Science Laboratory Technician will:

▪ Assist teachers, as requested, to facilitate student learning with respect to specific outcomes

▪ Advise staff and visiting teachers about resources and equipment available.

▪ Advise teachers of laboratory activities that may support targeted learning outcomes.

Professional Responsibilities

The Science Laboratory Technician will:

▪ Support the life of the school beyond the classroom;

▪ Lead one or more after co-curricular activities;

▪ Participate in residential weeks and other trips;

▪ Contribute to whole school learning initiatives during term.

Preparation of practical materials for classes

The Science Laboratory Technician will:

▪ The system in place shall allow the laboratory technician ample time to prepare the materials required for a class. If special consumable purchases need to be made, teachers should allow a week, or arrange purchases themselves.

▪ Teachers can expect labs to be prepared on time if two days notice is given. Labs will be cleaned from classrooms on the day that they are noted as completed.

▪ It is not the lab technicianʼs responsibility to plan lab activities for classes. Lab activities should be planned as an integral part of a unit and designed to achieve specific learning outcomes.

Position Requirements:

▪ Able to work with students and staff in secondary school.

▪ Up-to-date with the latest trends, technologies, and techniques in your specific skill base.

▪ Ability to solve problems creatively and efficiently.

▪ Able to assist students as needed both academically and during practical procedures

▪ Able to care for the wellbeing of small aquatic animals (fish and terrapin)

▪ Able to support enrichment activities such as field trips and after school programmes (Trips may occasionally go outside of school hours).

Promote and adhere to the Nord Anglia Education vision and values:

▪ Opportunity - for us, opportunities need to be meaningful, about achieving potential and making progress.

▪ Impact - for us, impact is about making a difference. It needs to be immediate, positive and lasting.

▪ Leadership - for us, leadership is about considering the teamʼs needs as well as your own, setting inspiring examples, being supportive and showing real accountability and responsibility.

▪ Respect - for us, respect is about listening, being inclusive, showing tolerance and getting the little things right.

All staff are required to manage effective personal development as part of NAEʼs commitment to invest in staff as the key resource in the organisation.

Each individual must ensure that they meet their statutory responsibilities and adhere to NAE and school policies with regard to Health and Safety, Equal Opportunities and other relevant legislation.

Others

• Hold a current Enhanced Criminal Records Bureau Disclosure or equivalent for countries lived in outside of the UK.
• Compliance with visa requirements for working in Singapore.
• A commitment to safeguarding and promoting the welfare of all pupils and the willingness to undertake appropriate child protection training when required.

Safeguarding

At Nord Anglia Education we are committed to providing a world class, safe, happy environment in which children and young people can thrive and learn. We are committed to safeguarding and promoting the welfare of all our pupils where we embrace all race, abilities, religions, genders, and cultures.

All post holders in regulated activity (having regular unsupervised contact with children) are subject to appropriate national and international vetting procedures including satisfactory criminal record checks from both your country of residence/birth and any country of residence within the last 10 years.

We welcome applications from suitable qualified persons from all diverse backgrounds.
Please note, only shortlisted candidates will be contacted.

To apply to the role please click https://careers.nordangliaeducation.com/job-invite/4855/

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor HUANG DEJIAN on Plant proteins for Cultivated meat under a project on SUSTAINABLE PRODUCTION OF CULTIVATED MEAT: MEDIA, SCAFFOLDS AND BIOPROCESS.

The main responsibilities of the position include:
1) Coordinate activity of progress of sub-projects of this grant funded by government (Singapore Food Agency)
2) Lead development of plant proteins as new edible biomaterials for scaffold fabrication and coating materials to improve cyto-affinities
3) Write progress reports of the grant
4) Write invention disclosures
5) Write manuscripts for publication
6) Write grant proposals related to the plant protein work
7) Supervise junior students

Qualifications

Qualifications / Discipline:
PhD degree majoring in Food Science and Technology or closely related fields.

Skills:
Skilled at extraction of plant proteins and Natural products. Food analysis methods such as HPLC, SDS-PAGE, proximate analysis, cell culture skills, imaging molecular biology experimentation skills. Good communication skills in writing and spoken English skills in scientific writing including creative graphic presentation.

Experience:
0-3 years of working experience.

Tanglin Mission

Tanglin Trust School Singapore has a long tradition of providing British-based learning with an international perspective. At Tanglin we strive to make every individual feel valued, happy and successful. Responsibility, enthusiasm and participation are actively encouraged and integrity is prized. Working together in a safe, caring yet stimulating environment, we set high expectations whilst offering strong support, resulting in a community of lifelong learners who can contribute with confidence to our world.

Our Vision

We aspire to be the best school in the world with a dynamic learning community which nurtures and inspires every individual to be the best they can be. Our core values of Respect, Responsibility and Purpose are at the heart of everything we do across the school.

The Role

The appointee is engaged to manage the Science Curriculum in the Junior School.

The role reports to the Head of Junior School through the Deputy Head Academic (Junior School).

Key Responsibilities

Curriculum planning and assessment:

• Use data from formative and summative assessments to look at standards achieved within the subject and identify areas for further development.
• Monitor standards of the science curriculum through regular work/planning scrutiny and learning walks.
• Liaise with the Heads of Science (Infant and Senior Schools) to ensure that there is a standardised approach to the management of the science curriculum across the school and ensuring that continuity and progression are maintained.
• Develop, in conjunction with year teams and the Deputy Head Academic, forms of assessment and record keeping.
• Ensure targets are identified and met on the Junior Subject Action Plan and the school’s School Improvement Plan (SIP).
• Produce, evaluate, develop and update summary information documents for parents.
• Ensure that health and safety requirements are taken heed of in the planning and delivery of the subject.
• Oversee the implementation of STEAM within the curriculum.
• Fulfill CCA commitment.

Management of teaching staff:

• Support year group teams to plan for the subject effectively, providing guidance and support to teaching staff as and when required, which may include organising and arranging a programme of staff inset.
• Lead Vertical Curriculum Team meetings and publishing the minutes.
• Line manage additional staff to ensure the successful running of the Science Laboratory and resources, including leading their performance review regularly through Clear Review conversations

Management of resources:

• Resource the subject within an allocated budget by ordering materials and stock and checking, controlling, distributing materials and stock on arrival, and as required, and ensuring such equipment is maintained.

Development:

• Keep abreast of current developments in science education and adapting curriculum content and methods of teaching as appropriate.
• Liaise with other Heads of Curriculum and Heads of Year to develop cross-curricular links.
• Plan, produce, evaluate, develop and update curriculum policy documents and schemes of work, and guiding and monitoring their implementation within the subject across the Junior School.
• Organise and arrange occasional initiatives (which may include presentations to parents) whenever the subject is part of a school curriculum focus.
• Contribute to school publications when requested.
• Maintain your own on-going professional development in accordance with the requirements of the school and maintain an accurate and up to date record of that professional development.
• Be responsible for reporting any concerns about a child to the Designated Safeguarding Lead.
• Embrace the school’s commitment to creating a diverse and inclusive environment.

Tanglin Trust School believes that each employee makes a valuable and significant contribution to our success and that contributions should not be limited to the assigned responsibilities below. This job description is designed to outline primary responsibilities but not limit the employee, nor Tanglin Trust School, to only the duties identified. It is the expectation of the School that each employee will offer his/her services wherever and whenever necessary to ensure the success of our organisation.

The school is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. The successful candidate will be required to provide an Enhanced DBS disclosure certificate, or equivalent.

In your application, please provide the names and email addresses of three people from whom confidential references may be obtained. Please indicate their professional relationship to you; one referee should be your present Head of School.

Location: Ang Mo kio

Working Hrs: 44hrs/weekly

Responsibilities:

a) Provide support to teachers in teaching and learning

b) Assist in the preparation of apparatus, equipment and reagents for laboratory lessons

c) Maintain general cleanliness of equipment and workplace

d) Simple administrative and office work as and when request

e) Any other duties assigned by Science HOD or School

Qualifications:

• Candidate to preferably possess at least a GCE “O” Level qualification

• Good interpersonal and communication skills

• Ability to multitask, work both independently and as a team

• Prefer candidates to have at least 3 years of working experience as a Science Laboratory Assistant

• Preferably first aid trained

• Preferably competent in MS Office

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 Zhigang Yao on a project titled “Single Particle Cryo-Electron Microscopy: Reconstruction and Uncertainty Quantification”.

The main responsibilities of the position include:
• Collaborating with the research team to develop and apply neural network methods and manifold fitting theories for CryoEM 3D reconstruction.
• Conducting large-scale numerical experiments.
• Assisting with the preparation of research papers and presentations.

Qualifications

Qualifications / Discipline:
• A Bachelor degree in Mathematics, Statistics, or a related discipline.
• Solid foundation in mathematical concepts.

Skills:
• Proficiency in coding and programming (e.g., Python, MATLAB).
• Knowledge of neural networks and machine learning is advantageous.
• Strong problem-solving and analytical thinking abilities.

Experience:
• Experience with numerical methods or data analysis is preferred.
• Familiarity with manifold fitting theories 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 organoid research?

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 Fellow 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).

The role will provide expertise in the establishment, genetic manipulation and maintenance of human and murine cell cultures, performance of animal work as well as design/ perform and analyse work within the project parameters.

Research:

design, perform and analyse work with mouse models
to carry out assigned molecular and cell biology experiments (i.e. cloning, FACS, western blotting, RNA, sequencing, microscopy) and perform analysis and determinations as tasked
to organise, preserve and present the results of the experiments in a logical manner
to properly and systematically record all experiments that have been assigned and their results

Lab Management:

maintain up to date records of inventories for chemical/ biological reagents
assist when required with procurement
ensure tidiness and cleanliness of the lab is maintained

Qualifications

• 
  
• University degree in a relevant field
• Significant amount of experience working with human and/ or murine organoids
• Ability to speak and write clearly in English
• Minimum 2 to 3 years work experience in a molecular biology lab;
• Qualified (RCULA) to work with animal models with practical experience

Knowledge of:

• Basic principles and practices in the fields of biology.
• Principles, techniques and terminology used in cancer biology.
• Methods of scientific research and relevant scientific theories.
• Appropriate computer operations, software and peripherals.
• General rules for safe exposure and handling of chemical and biological hazards
• IRB, HBRA & IACUC regulations
• Principles, techniques and terminology used in organoid model systems and genomic and RNA sequencing as well as common lab molecular and cell biology techniques (desirable)

Ability to:

• Perform laboratory tests in an efficient and timely manner
• Work cooperatively and effectively with others

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 organoid research?

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 Fellow 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).

The role will provide expertise in the establishment, genetic manipulation and maintenance of human and murine cell cultures, performance of animal work as well as design/ perform and analyse work within the project parameters.

Research:

design, perform and analyse work with mouse models
to carry out assigned molecular and cell biology experiments (i.e. cloning, FACS, western blotting, RNA, sequencing, microscopy) and perform analysis and determinations as tasked
to organise, preserve and present the results of the experiments in a logical manner
to properly and systematically record all experiments that have been assigned and their results

Lab Management:

maintain up to date records of inventories for chemical/ biological reagents
assist when required with procurement
ensure tidiness and cleanliness of the lab is maintained

Qualifications

• University degree in a relevant field
• Significant amount of experience working with human and/ or murine organoids
• Ability to speak and write clearly in English
• Minimum 2 to 3 years work experience in a molecular biology lab;
• Qualified (RCULA) to work with animal models with practical experience

Knowledge of:

• Basic principles and practices in the fields of biology.
• Principles, techniques and terminology used in cancer biology.
• Methods of scientific research and relevant scientific theories.
• Appropriate computer operations, software and peripherals.
• General rules for safe exposure and handling of chemical and biological hazards
• IRB, HBRA & IACUC regulations
• Principles, techniques and terminology used in organoid model systems and genomic and RNA sequencing as well as common lab molecular and cell biology techniques (desirable)

Ability to:

• Perform laboratory tests in an efficient and timely manner
• Work cooperatively and effectively with others

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

Perform research in operando imaging guided materials design for sustainability

Qualifications

The successful candidate should possess the following:

• A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields
• Highly motivated, committed, and capable of working independently as well as collaboratively
• Strong publication record in peer-reviewed journals
• Good communication skills in English (both written and oral)
• Prior experiences with the following will be a plus
• Optical instrumentation, single-molecule/ super-resolution microscopy, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools
• Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL
• Organic synthesis, polymer chemistry, synthesis of inorganic nanomaterials, micro/nano-fabrications, genetic engineering of microorganisms
• Techno-economic analysis of sustainability technologies

For postdoctoral fellows, compensation and benefits package will be internationally competitive (including annual base salary, performance-based bonus, medical insurance and vacation leave), and will be commensurate with experiences and qualifications. Interested candidates are encouraged to email a copy of CV (with a list of publications), reprints of three selected publications, as well as contact information of 2-3 references to the NUS Career Portal.

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

Simulation Scientist:

We are looking for a simulation expert who will be part of the team developing a next-generation mobility simulation platform using an agent-based modelling approach. The platform is envisioned to be integrated with other modelling & simulation systems under a digital twin strategy. The responsibilities may include any of the following:

• Develop simulation modules for the agent-based simulator.
• Design and implement simulation scenarios.
• Develop behavioural rules for the simulation agents.
• Implement real-world dynamics including physical motion laws, power-flow, scheduling, and operational constraints as needed.
• Design, calibrate and validate simulation models.
• Optimise the performance of the simulation.
• Write research papers and present at conferences and communicate to project collaborators

Education and experience requirements:

• Ph.D. degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines)
• At least 2 years of experience
• Strong interests and expertise in traffic simulation, statistical modeling, mathematical programming, reinforcement learning, and optimization
• Minimum of two years of experience in simulation development.

Technical skills:

• Strong proficiency in Java and Python programming languages.
• Familiarity with electrified mobility technologies, electric vehicles, and charging infrastructure.
• Experience with version control systems (e.g., Git).

Experience/familiarity with any of the following is a plus:

• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).

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.

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

Simulation Scientist:

We are looking for a simulation expert who will be part of the team developing a next-generation mobility simulation platform using an agent-based modelling approach. The platform is envisioned to be integrated with other modelling & simulation systems under a digital twin strategy. The responsibilities may include any of the following:

• Develop simulation modules for the agent-based simulator.
• Design and implement simulation scenarios.
• Develop behavioural rules for the simulation agents.
• Implement real-world dynamics including physical motion laws, power-flow, scheduling, and operational constraints as needed.
• Design, calibrate and validate simulation models.
• Optimise the performance of the simulation.
• Write research papers and present at conferences and communicate to project collaborators

Education and experience requirements:

• Ph.D. degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines)
• At least 5 years of experience
• Strong interests and expertise in traffic simulation, statistical modeling, mathematical programming, reinforcement learning, and optimization
• Minimum of two years of experience in simulation development.

Technical skills:

• Strong proficiency in Java and Python programming languages.
• Familiarity with electrified mobility technologies, electric vehicles, and charging infrastructure.
• Experience with version control systems (e.g., Git).

Experience/familiarity with any of the following is a plus:

• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).

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.

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading edge applications through high performance computing and computational science.

We are looking for highly motivated individuals who are able to work independently and yet are good team players, possess excellent analytical, technical and problem-solving skills, good technical writing and presentation skills. If you share our interests in solving challenging scientific problems using computational science, mathematical methods and/or engineering techniques, we welcome you to apply for the following position.

SYSTEMS SCIENCE DEPARTMENT

Research Scientist (Urban Systems & Transportation modelling)

We are looking for researchers who are highly motivated with a passion for developing solutions relating to modelling and simulation of transportation and complex urban systems. The candidate will join a multidisciplinary team of scientists and engineers to develop next generation transport and urban R&D solutions, leveraging on advanced AI and digital twin technologies. The role is expected to work both internally and externally with collaborators/stakeholders from industry and government agencies.

Requirements

· PhD in Computer Science/Engineering/Computing/Information Systems/Civil Engineering or equivalent

· At least 2 years of experience

· Relevant experience/expertise in at least one of the following areas: Transport system modelling, Agent-based simulation, Geo-spatial analysis, Digital twin

· Strong interests in statistical modelling, optimization, AI

· Proficient in programming languages like Java, Python or C++

· Self-driven and motivated team player

· Curiosity and passion to learn new things

· Good written and verbal communication 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.

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading edge applications through high performance computing and computational science.

We are looking for highly motivated individuals who are able to work independently and yet are good team players, possess excellent analytical, technical and problem-solving skills, good technical writing and presentation skills. If you share our interests in solving challenging scientific problems using computational science, mathematical methods and/or engineering techniques, we welcome you to apply for the following position.

SYSTEMS SCIENCE DEPARTMENT

Research Scientist (Urban Systems & Transportation modelling)

We are looking for researchers who are highly motivated with a passion for developing solutions relating to modelling and simulation of transportation and complex urban systems. The candidate will join a multidisciplinary team of scientists and engineers to develop next generation transport and urban R&D solutions, leveraging on advanced AI and digital twin technologies. The role is expected to work both internally and externally with collaborators/stakeholders from industry and government agencies.

Requirements

· PhD in Computer Science/Engineering/Computing/Information Systems/Civil Engineering or equivalent

· At least 5 years of experience

· Relevant experience/expertise in at least one of the following areas: Transport system modelling, Agent-based simulation, Geo-spatial analysis, Digital twin

· Strong interests in statistical modelling, optimization, AI

· Proficient in programming languages like Java, Python or C++

· Self-driven and motivated team player

· Curiosity and passion to learn new things

· Good written and verbal communication 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.

UWCSEA is seeking a passionate and committed Teacher of High School Physical Education and Sports Science to join our Dover Campus in August 2025.

The successful candidate must have a tertiary qualification in relevant subjects and a recognised teaching qualification, with successful experience teaching secondary physical education. The successful candidate will teach core Wellness and Physical Education classes for all grade 9 and 10 students and possibly teach our bespoke UWCSEA Sport Science course available as an option to Grade 9 and 10 students. UWCSEA delivers IB DP Sport, Exercise and Health Science at both Higher and Standard level in Grades 11 and 12, prior experience of teaching IB Sport Science would be an advantage. The successful candidate will be an excellent and inspiring practitioner who is passionate about delivering an engaging concept based PE curriculum.

At UWCSEA we are looking for an educator who is committed to the UWC mission and in modelling the UWCSEA values: commitment, compassion, inclusion, integrity, openness, responsibility, trust. We strongly believe all faculty and staff are mentors to our students in the classroom and beyond. We are searching for individuals committed to the holistic growth of students, and committed to participate in the five key elements of a UWCSEA education: Academics; Activities; Outdoor Education; Personal and Social Education and Service. We are also looking for an educator who is positive and enthusiastic about collaborating with a large vibrant team of dynamic teachers who comprise the Physical Education Department. UWCSEA is a large campus and has excellent and extensive sporting facilities. The appointee will teach mostly in High School, although may also be required to teach some Middle School classes and will play an active role in continually supporting our positive environment in order for all students to thrive.

Main Responsibilities

• Teachers construct learning experiences that challenge students, support the diversity of learners in each class. This includes demonstrating a strong commitment to concept based teaching and learning, along with a commitment to putting intercultural understanding into practice within the classroom.
• Teachers ensure assessments support ongoing learning and provide timely, relevant and appropriate feedback to students.
• Teachers keep parents informed about their children's learning, and are proactive in communication with parents.
• Teachers demonstrate effective class management that shows an understanding of the academic, social and emotional dimensions of learning.
• Teachers support personal and social emotional learning through academic classes. As Mentors they also work collaboratively with the Heads of Grade, Counselling, Learning Support and EAL departments as part of a student support services team in order to support all students in thriving.
• Teachers contribute positively to the collaborative culture of the Physical Education Department and all elements of the learning programme.
• Capable and willing to coach teams throughout the year as part of the Activity programme.

Expectations and Standards

• Follow the UWCSEA Professional Code of Conduct and Safeguarding Code of Conduct.
• Teach in line with the UWCSEA Teacher Standards

Person Specifications

• A good degree and a recognised teaching qualification or certification are expected.
• Successful prior experience of teaching Physical Education in the 14-­18 age range is required.
• Experience of teaching academic PE/Sports Science courses is required.
• Specific experience of IB Sports, Exercise and Health Science is an advantage.
• Demonstrated excellence in interpersonal skills, experience and pedagogical knowledge in areas outlined by the UWCSEA Learning Principles and the UWCSEA Profile.
• Demonstrated ability to collaborate effectively, communicate clearly, self­-manage and to think and act in critical, creative and innovative ways to support teaching and learning.
• Academic expectations include enthusiastic participation in Professional Learning
• Pastoral expectations include the leadership of a mentor group unless the teacher is exempted due to other responsibilities
• On average the College expects a yearly contribution of two sessions per week in each season to Activities and/or Service.
• Teachers should be willing and eager to participate in the five key elements of a UWCSEA education: Academics; Activities; Outdoor Education; Personal and Social Education and Service
• The College expects that teachers will participate enthusiastically in the curricular Outdoor Education experiences which are relevant to their students and will also occasionally volunteer for holiday Outdoor Education trips.
• A commitment to diversity and inclusion is essential alongside a willingness to adapt and develop pedagogy to meet the needs of our learners.

Applications

The UWC Mission is to make education a force to unite people, nations and culture for peace and a sustainable future. We are committed to creating a community in which all members feel safe and secure, and know that their authentic selves and individual differences are accepted with respect and care. At UWCSEA, we acknowledge that diversity, equity, inclusion and justice (DEIJ) is an ongoing and evolving process and strive to create and sustain a sense of belonging for all members of our community, past, present and future. All qualified applicants, including those who identify as a part of marginalized group(s) and individuals with (dis)abilities are all encouraged to apply. Our school is committed to safeguarding and promoting the welfare of all the students in our care and expects all applicants to share this commitment. We follow safe recruitment practices and all appointments are subject to interview, satisfactory references, identity and criminal record checks.

At NUS Singapore, our people are the driving force behind our success. We pride ourselves on fostering a vibrant and inclusive community of talented individuals from diverse backgrounds.

When you join NUS, you become part of a community of passionate individuals who are dedicated to driving innovation and change in education, research, and service. Our culture of inclusivity and entrepreneurship means that you’ll have the freedom to explore your ideas and make a meaningful impact. Your career at NUS is more than just a job - it’s a transformative experience that will shape your personal and professional growth.

Explore the link provided to learn additional details about the available job opportunity:

https://careers.nus.edu.sg/job/Visiting-Professor%2C-Computer-Science/27368-en_GB/?st=87BC6EC9F5082194874A6D66565C7BBAE2D68F47

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.

At NUS Singapore, our people are the driving force behind our success. We pride ourselves on fostering a vibrant and inclusive community of talented individuals from diverse backgrounds.

When you join NUS, you become part of a community of passionate individuals who are dedicated to driving innovation and change in education, research, and service. Our culture of inclusivity and entrepreneurship means that you’ll have the freedom to explore your ideas and make a meaningful impact. Your career at NUS is more than just a job - it’s a transformative experience that will shape your personal and professional growth.

Explore the link provided to learn additional details about the available job opportunity:

https://careers.nus.edu.sg/job/Visiting-Research-Professor%2C-Computer-Science/27367-en_GB/?st=C46AA6953DC27D5F35BF9F6B74E233D838219CFD

Requirements

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

Responsibilities include, but not limited to:

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Strong software development skills.
• Strong verbal and written communication skills.
• Experience with or desire to learn:
• Machine learning and other advanced analytical methods
• Fluency in Python and/or R
• pySpark and/or SparkR and/or SparklyR
• Hadoop (Hive, Spark, HBase)
• Teradata and/or another SQL databases
• Tensorflow, and/or other statistical software including scripting capability for automating analyses
• SSIS, ETL
• Javascript, AngularJS 2.0, Tableau
• Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
• Experience working with Manufacturing Execution Systems (MES) is a plus
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

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

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

We regret that only shortlisted candidates will be notified.

Job Description:

ASIA RESEARCH INSTITUTE (ARI)

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

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

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

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

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

i) climate change and carbon governance;

ii) planetary health and ‘Asian medicines’;

iii) energy transitions, infrastructure and space;

iv) critical minerals.

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

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

JOB DESCRIPTION

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

JOB REQUIREMENTS

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

TERMS OF APPOINTMENT

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

APPLICATION PROCESS

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

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

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

ADDITIONAL IMPORTANT INFORMATION

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

Contact list for further enquiries

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the NUS Career Portal.

Qualifications

• A PhD in statistics or a related field is required.

Duties and Responsibilities
- Assist the Manager in monitoring the daily operations of the ICT helpdesk, and work with the outsourced Desktop engineer to provide end user support.
- Provide support for school events and activities.
- Maintain and troubleshoot ICT inventory including hardware and software.
- Maintain inventory of IT and audio visual systems and equipment and its proper documentation.
- Monitor IT contracts, renew or procure new service contracts where necessary.
- Manage student learning portals such as google workspace, apple school manager.
- Collaborate with external IT infrastructure maintenance team to provide level 1 support.
- Maintain and prepare internal exam server to meet exam requirements.
- Responsible for daily operations, conducting briefing on new applications and conduct staff induction.
- Assist In ICT projects when necessary.
- Explore new technology that meets school’s needs.

Requirements

1. Diploma in IT/Computer Science
2. Minimum 2 years of relevant working experience. Candidate with Window and Apple environment is
   added advantage.
3. Good communications and customer service skills.
4. Hands on experience using Apple, Google related applications.
5. Hands on experience using Window Server Management (Hyper V Virtualization)
6. The following technical Certification is an added advantage:
   (a) Apple certification
   (b) Microsoft Server certification(MCSA/MCSE)

SIFBI seeks to appoint a Principal Investigator / Senior Scientist in areas related to food oral processing. Special interests will be on the food oral manipulation, food oral rheology, oral tribology, oral physiology, bolus formation and swallowing, food-saliva interactions, and other emerging topics (i.e. bigdata, AI, and etc) in relation to eating and sensory perception. Once appointed, he/she is expected to conduct independent and experiment-based research and to gradually establish a research team on a topic area of eating and sensory perception.

Jobs Responsibilities:

· To conduct high quality research and to gradually establish a research team on an area of food oral processing.

· To lead new initiatives in research project and grant proposals

· To write up high impact research publications

· To establish strong international links with academic partners

· To actively engage with industry for knowledge transfer and research collaborations

· To mentor and provide support to junior researchers

· To participate team/laboratory management

Job Requirements:

· PhD in food science or other relevant disciplines

· At least 3 years' experience of independent research after PhD

· Strong lab-based research background in food sensory, food physics, food texture, food flavour

· Excellent track record of research publications

· Excellent communication skills (e.g. writing and speaking)

· The candidate should also demonstrate his/her research achievements with an excellent track record of research publications, cases of successful funding, industrial collaborations, and social/economic impacts.

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

We are looking for highly talented and motivated candidates to work on developing new functional materials. Candidate must be able to work in a fast-paced and dynamic environment with researchers across different disciplines. Candidate should have experience in sensing materials or self-healing materials.

Qualifications

PhD degree in Material Sciences, Electrical/Electronics, Applied sciences, basic sciences, technology, mechanical engineering or other relevant fields. Experience with data analytics/AI models 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 successful candidate will work with Dr Li Dan on Prevention of microbial contamination in cell culture meat system under a project on Bezos Center: alternative protein.

The main responsibilities of the position include:

• Screen and develop mitigation strategies of cell culture systems with AI-assisted tools;
• Build scaled-up cell culture meat systems and test the proposed antimicrobial strategies;
• Draft research reports and manuscripts;
• Attend conferences and events to publicize the research outcomes and initiatives;
• Guide research students and advise their thesis.

Qualifications

• Qualifications / Discipline: PhD in food science and food microbiology.

• Skills: Microbial cultivation and test, multi-omics analysis, food chemistry

• Experience: PhD training with the skills required in this project.