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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Singapore Nuclear Research and Safety Initiative (SNRSI), a university-level research institute at NUS established in 2014, is committed to excellence in nuclear safety research. Within SNRSI, the Radionuclide Dispersion and Dose Assessment team specialises in modelling the migration and impact of radioactive pollutants through various pathways in Singapore and the surrounding region. The team is dedicated to advancing the academic community while tackling real-world challenges faced by government agencies and stakeholders.

With several positions open for Research Fellow, we welcome motivated candidates to join us – an excellent opportunity to collaborate with colleagues from world-leading universities and develop essential skills in the exciting world of modelling and cutting-edge technologies, including data analysis and visualisation, machine learning, computational methods, and more. If offered the position, you will participate in the following projects, based on your background and strengths.

• Radionuclide dispersion modelling

The migration of radionuclides, in the air or water bodies (both surface and underground) will be modelled using either community dispersion models or in-house-developed codes. The aim is to enhance our understanding of how radionuclides are transported and dispersed in the environment, providing a robust foundation for further impact or consequence assessment.

• Radiological impact and dose assessment

Mathematical models or empirical approaches are employed or developed to quantitatively analyse radionuclide pathways. The radiation exposure doses, potential contamination of food or water sources are subsequently estimated. The goal is to provide reliable and practical references for emergency planning or mitigation measure implementation.

Qualifications

• A PhD in a relevant field, such as physics, mathematics, environmental sciences, and computer science, etc.
• A strong understanding of fundamental physics, mathematics, and statistics.
• Proficient in Python programming. Having experience in other coding languages, such as C/C++, Fortran, MATLAB, or Linux shell scripting, is a plus.
• Experience with modelling using tools/models such as FLUENT/OpenFOAM, Deflt3D, ROMS, WRF, HYSPLIT, or RODOS is considered an advantage.

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Singapore Nuclear Research and Safety Initiative (SNRSI), a university-level research institute at NUS established in 2014, is committed to excellence in nuclear safety research. Within SNRSI, the Radionuclide Dispersion and Dose Assessment team specialises in modelling the migration and impact of radioactive pollutants through various pathways in Singapore and the surrounding region. The team is dedicated to advancing the academic community while tackling real-world challenges faced by government agencies and stakeholders.

With several positions open for Research Assistant/Research Associate, we welcome motivated candidates to join us – an excellent opportunity to collaborate with colleagues from world-leading universities and develop essential skills in the exciting world of modelling and cutting-edge technologies, including data analysis and visualisation, machine learning, computational methods, and more. If offered the position, you will participate in the following projects, based on your background and strengths.

• Radionuclide dispersion modelling

The migration of radionuclides, in the air or water bodies (both surface and underground) will be modelled using either community dispersion models or in-house-developed codes. The aim is to enhance our understanding of how radionuclides are transported and dispersed in the environment, providing a robust foundation for further impact or consequence assessment.

• Radiological impact and dose assessment

Mathematical models or empirical approaches are employed or developed to quantitatively analyse radionuclide pathways. The radiation exposure doses, potential contamination of food or water sources are subsequently estimated. The goal is to provide reliable and practical references for emergency planning or mitigation measure implementation.

Qualifications

• A degree or higher qualification in a relevant field, such as physics, mathematics, environmental sciences, and computer science, etc.
• A strong understanding of fundamental physics, mathematics, and statistics.
• Proficient in Python programming. Having experience in other coding languages, such as C/C++, Fortran, MATLAB, or Linux shell scripting, is a plus.
• Experience with modelling using tools/models such as FLUENT/OpenFOAM, Deflt3D, ROMS, WRF, HYSPLIT, or RODOS is considered an advantage.

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

Irradiation of the brain in early human life may set abnormal developmental events into motion that last a lifetime, leading to the development of different neurological and neuropsychological disorders. By working on post- or pre-natal irradiated mice, the candidate will have an in-depth understanding of the mechanism of disease genesis, could explore to develop modern radiation detection, disease diagnosis techniques and novel therapy to prevent genesis of neurological and neuropsychological disorders from a long-term point view.

We are seeking motivated Research Assistant / Research Associate and the successful incumbent will work with a team of scientists engaged in radiobiology research. The duties include but are not limited to:

• Routine lab work and maintenance
• Small animal handling
• Molecular biology work
• Bioinformatical analysis
• Cell culture
• Histochemical and immunohistochemical staining.

Qualifications

• A B.Sc. and/or Master degree holder in biology or biomedical science
• Prefer to do small animal research work
• 2-3 years of working experience in biomedical research laboratory
• Some background in neuroscience, radiation research, biomarker development and bioinformatical analysis will be a preference
• Good communications skills and a team player

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:

The Institute for Functional Intelligent Materials (I-FIM) is looking for postdoctoral research fellows to work on topics in machine learning and its scientific applications. The successful candidate will work with Principal Investigators in I-FIM on these topics.

The main responsibilities of the position include conducting cutting-edge research in machine learning theory and algorithm research, with applications to materials and quantum sciences. Topics include (but are not limited to) the following:

• Data-driven multiscale modelling
• Approximation and optimisation theory of new architectures with applications in dynamics
• Learning and controlling deterministic and stochastic dynamics

Job Requirements

• PhD in (Applied) Mathematics, Computer Science, Physics or related fields
• Strong knowledge in machine learning and deep learning
• Familiarity with basic theory of dynamical systems, ODEs, PDEs, and stochastic processes
• Knowledge in computational physics and chemistry are desirable
• Ability to code in Python with at least one of the popular deep learning frameworks, e.g., Jax, PyTorch
• Academic research with strong publication record. The candidate should have published in top machine learning conferences and journals, such as ICML, ICLR, NeurIPS, JMLR, and/or top journals in applied sciences.

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

We are seeking a highly skilled and motivated researcher for Data Center Digital Twin Research and Development. He/she will assist the PIs in evaluating and advancing digital twin solutions for enhanced system performance. The role involves benchmarking existing technologies, developing and evaluating conceptual models, conducting virtual experiments to optimize operational efficiency, and research and development of advanced features. The project is in collaboration with a data centre operator.

Qualifications

Qualification:

PhD degree in Mechanical Engineering, Mechatronics, Computer Science, or a related field

Experience:

Prior experience digital twin solution, simulation, system design, data center thermal control, is helpful.

Science Teacher

Commencing on 1 August 2025

The High School is now recruiting for a dynamic teacher dedicated to learner-centered education for August 2025. We are welcoming applications for IB MYP and IB Diploma teachers of Science.

Position requirements:

Minimum relevant Bachelor's degree.
Excellent communication skills, including being able to effectively communicate with parents, students, teachers, school administration, and external agencies when necessary.
Exemplary verbal and written English.
IB DP and IGCSE experience preferred.
Excellent time management and adaptability.
International school experience preferred.
Good confidential references are available upon request, reflecting the qualities listed above.

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

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health within the Telehealth Core:

Research Associate (NUS eHealth Projects)

At the Telehealth Core we leverage technology & design to accelerate research and improve outcomes in behavioural health & chronic diseases. We focus on delivering tailored interventions in healthcare by building digital tools and harnessing the insights from users and patients.

Are you passionate about exploring the intersection of technology and human behavior? Do you thrive in research environments and enjoy translating complex ideas into impactful publications? If so, we’re looking for a UX Research Associate to join our team and drive innovation in Human-Computer Interaction (HCI).

About the Role
As a UX Research Associate, you will:
• Conduct in-depth research in HCI, with a focus on user experience and usability.
• Author and contribute to academic papers, reports, and other publications.
• Collaborate with interdisciplinary teams to integrate research findings into product development.
• Conduct user studies, analyze data, and provide actionable insights to improve products and services.
• Stay updated on the latest trends and methodologies in HCI and UX design.

What We’re Looking For
• Educational Background: Master’s degree in HCI, UX, Interaction Design, Psychology, or a related field.
• Research Skills: Demonstrated experience in academic or applied research, with strong skills in qualitative and quantitative methods.
• Writing Proficiency: A proven track record of writing research papers, reports, or publications in HCI or related fields.
• Product Development Knowledge: Understanding of the product development lifecycle and the role of UX research in driving innovation.
• Health Sector Advantage: Experience in healthcare-related research or product design is a strong plus.
• Team Collaboration: Ability to work effectively in interdisciplinary teams and communicate complex ideas clearly.

We are a research group and service core that develops eHealth projects. Our mission to create patient-centered technologies for great health and wellness outcomes. We believe innovation and impact are driven by great user experiences. View our projects at https://medicine.nus.edu.sg/nuhscg/core-facilities/telehealth-core/about-us/

Recruitment is open immediately, and will continue until all positions are filled. a. Send your CV, a cover letter highlighting your research experience and interest in HCI, and a sample of your written work (e.g., a research paper or publication) during the application:
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing details of three named referees

Join us in shaping the future of technology and making a difference in people’s lives. We look forward to hearing from you! Please note that only shortlisted candidates will be contacted.

Be Part of Us

As a Research Geophysicist in the GEO TP Research team, you will be reporting to the Research Manager. In this role, you will contribute to a variety of research activities in line with the business needs such as developing, testing, improving, and validating algorithms / modules / methods with predefined geophysical content.

At the forefront of delivering unmatched Geoscience capabilities for our clients, our Research Geophysicists are analytical experts at identifying the best possible exploration spaces using advanced imaging workflows and technologies. As a global technology and high-performance computing leader, Geoscience in Viridien is about solving some of the world’s complex environmental challenges. Our job is to leverage on curiosity and passion in science to become an established leader in delivering outstanding Geoscience services by uncovering new ways for our stakeholders to be more efficient and responsible, for a more sustainable future.

We practice Geoscience in ways that Viridien does best – Caring deeply about the Earth, pushing beyond boundaries, and utilising multi-disciplinary approach in pursuit of innovation.

Job Overview

• Develop a program or prototype with predefined geophysical content and specifications
• Participate in the geophysical validation of prototype with the Imaging team
• Understand internal requirements by building close relationships with the Imaging team
• Prepare technical articles and carry out technical presentations for clients
• Support the innovation process to deploy patent policy
• Develop knowledge by reading academic publications, attending technical presentations, workshops, conferences, and seminars
• Participate in the innovation process for deploying patent policy
• Stay abreast of technology advancements to develop and improve research activities for Business Units and Clients

Key Skills & Experience

Desired Job Skillsets:

• Entry to Intermediate level professional contributor on a research project
• Possess master technical knowledge

Qualifications:

• Master or PhD in Geophysics, Physics, Mathematics, Engineering or other analytical discipline
• Have at least 0-3 years of experience

Key Competencies

• Analytical thinking
• Innovative
• Conceptual thinking
• Judgement
• Good communication
• Strong technical background
• Customer Service

Why Work with us?

At Viridien, we are dedicated to providing the needs of our employees; and we know every employee has unique personal goals, family circumstances, and preferences. That is why we offer a wide array of benefits to promote and enhance your total well-being:

• Flexible Hybrid Work Model
• Comprehensive Personal and Family Healthcare
• Competitive Compensation Package
• Onsite Wellness & Recreation Corner
• Fun Employee Engagement & Sustainable Activities

We care about the Environment

We encourage and support the community by fostering commitment among our employees to protect our environment through sustainable, energy-saving and waste reducing solutions through various company initiatives.

Create a brighter future for yourself

Our culture of learning and complementary approach to supported or self-guided career development, enables the design of tailored courses to suit your specific needs, to aid personal growth in areas related to both technical and personal skills. This is facilitated through an extensive suite of Viridien developed courses.

Join us and share your talent and imagination to ‘SEE THINGS DIFFERENTLY’

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

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

JOB DESCRIPTION

We are looking for a strong candidate with strong AI background and experiences in audio, speech AI training for industrial projects on audio & speech recognitions.

Key Responsibilities: Work on audio processing, data preparation and multiple model training of multi-language code-switch ASR for projects.

JOB REQUIREMENT

• Has a related B.S degree in Computer Science or Software Engineering.
• Experiences in speech signal processing, speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models and deep learning
• Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell
• Knowledge in web-based and app developments for demo systems is advantageous

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

JOB DESCRIPTION

We are looking for a strong candidate with strong AI background and experiences in audio, speech AI training for industrial projects on audio & speech recognitions.

Key Responsibilities: Work on audio processing, data preparation and multiple model training of multi-language code-switch ASR for projects.

JOB REQUIREMENT

• Has a related B.S degree in Computer Science or Software Engineering with min 5 years of relevant experience
• Experiences in speech signal processing, speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models and deep learning
• Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell
• Knowledge in web-based and app developments for demo systems is advantageous

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 German European School Singapore (GESS) is looking for experienced Middle School Science Teacher for Grades 6-8 covering the MYP IB Curriculum, commencing on 1 August 2025.

In your teaching commitment at GESS, you will need to take on the following responsibilities where you will be expected to:

· Develop a strong relationship with all parents and students

· Be a role model who mentors and guides students to ensure they meet their full potential

· Actively review student assessment data, including academic, behavioral and social/emotional, to set learning goals, develop student agency and put in place interventions to ensure successful learning of each individual.

Experience and Qualifications

• Recognised teaching qualification (minimum B.Ed or PGCE equivalent)
• Tertiary educational background
• At least 4 years teaching experience
• Knowledge, understanding and teaching experience of the IB Middle Years Programme and/or IB Diploma Programme
• Articulate and effective written and oral communication in English
• Ability to work collaboratively, professionally and effectively within a team
• Experience of working in an international school setting advantageous
• Willingness to adapt to and embrace a new school environment
• Willingness to contribute and champion educational change that supports best practice and improve student learning

Professional Expertise

• Cognitive Activation / Pedagogical Subject Knowledge: The teacher has a deep understanding of the curriculum, pedagogy, subject content, and the developmental needs of students to effectively provide rich learning experiences.
• Classroom Management: The teacher understands the importance of establishing routines and procedures and providing a safe, supportive, student-centered learning environment.
• Formative Assessment: The teacher can effectively use differentiated assessment tools and strategies and understands how to make accommodations for individual students that drive learning forward.
• Student Well-being & Safeguarding: The teacher is a caretaker of the student’s social health and emotional well-being. They support healthy peer relationships and interactions. At the same time, they are guiding individual emotional, well-being and social development through the application of restorative practices.
• Professionalism: The teacher is committed to professional ethics, international-mindedness, and the school’s mission; collaborates and communicates appropriately and takes responsibility for professional growth that enhances student learning.

Keen to collaborate and share your specialist expertise, you will be a fitting ambassador for the school. You will communicate with confidence across diverse audiences and situations, using your expertise to build strong relationships across the GESS community.

Our School

The German European School Singapore (GESS) is a multi-lingual, not-for-profit, German international school in Singapore with a distinct European flavour. As an accredited ‘Excellent German School Abroad’, the German Section of GESS offers all major German school leaving certificates.

Our European Section offers tuition in English for students from grade 1 - 12 across all three IB programmes (the PYP, the MYP and the IB Diploma Programme) as an authorised IB World School.

Children aged 2 years onwards can enroll in our Preschool where children are following the PYP programme in German-speaking, English-speaking or bilingual groups. In addition to an outstanding academic education, GESS strives to teach students community values such as respect, openness and diversity.

To Apply

We offer an exciting working environment in an international and cooperative team. Your application should include a letter of application and your complete resume. Please indicate your reasons for applying for the position.

Our Selection Process

At GESS we adhere to fair employment practices that consist of hiring practices that are fair, merit-based and non-discriminatory.

We are committed to providing a world class, safe, happy environment in which children and young people are able to thrive and learn. We are committed to safeguarding and child protection as we promote the welfare of all our pupils irrespective of race, ability, religion, gender or culture.

All post holders are subject to appropriate vetting procedures including satisfactory reference and background checks and the offer of employment will be subject to the completion of these.

Please note, that only shortlisted candidates will be notified.

JOB DESCRIPTION

Job Purpose

The role holder is responsible for delivering classroom instruction that helps students learn and excel and developing students’ abilities and interest through creative activities.

KEY RESPONSIBILITIES

• Plans the curriculum for the year for the respective grade
• Develops the lesson plan in accordance with the curriculum guidelines, and presents the lesson plans to the academic coordinators for approval
• Reviews the feedback from the academic coordinators and revises the lesson plans accordingly
• Keeps up to date with the latest teaching aids, such as the use of technology in classroom learning, and integrate these into the teaching process
• Creates challenging and engaging learning opportunities for students, and fosters a classroom atmosphere that is conducive for learning
• Develops worksheets, handouts, and other learning materials in line with the lesson plan and curriculum, as well as the assessments and examinations
• Responsible for the timely marking and correction of assignments completed by the students
• Assess, records and reports on the development, progress and results of students
• Identifies students who may require additional assistance, academic or non-academic, and ensures they receive the necessary support
• Contributes to extra-curricular activities and participates in school activities such as assemblies, meetings and conferences
• Ensures the safety of students at all times

Interaction

• Collaborates with other teachers to share new ideas, teaching approaches, content and professional knowledge
• Communications and provides feedback to the parents during the Parent Teacher Meetings, and whenever necessary

Minimum Qualifications

Graduate & Bachelor in Education (Specialisation in Subject for Middle teacher & senior teacher)

Experience

5+ years of Teaching experience

KEY INTERACTIONS

Principal

Coordinators/ HODs

Other Non-academic Departments

Students

Parents

Job Position Available

• Primary School Science
• Lower Secondary Science
• Chemistry
• Physics
• Biology

Your Responsibility

• Provide guidance and mentoring to new teachers.
• Implement initiatives to improve quality and consistency in teacher’s teaching practice.
• Ensure curriculum materials and lessons plans are aligned with the latest syllabus for your discipline subject.
• Supporting teacher in the lesson delivery of the curriculum through the development of clear teacher reference notes and materials and conducting teacher's syllabus workshop.
• Teach classes in a small group sizes between 6-10 students based on Explorer Academy’s teaching materials.
• Conduct student consultations during your working hours for students who needs extra academic support.
• Provide regular feedback and updates to parents on the student’s progress.

Working hours

• 4 weekdays + 1 Weekend

Job Requirement

• Ex-MOE teacher (preferred)
• Have prior experience in teaching science
• Familiar with the Singapore MOE primary/secondary school syllabus
• Degree in Science or Education related courses
• Possess excellent communication and collaboration skills
• Passionate in teaching and mentoring students

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Food Science & Technology (FST) at the National University of Singapore (NUS) is Singapore’s first Department of Food Science & Technology in the university sector. Established in 1999 initially as the FST Programme in the Faculty of Science, it was elevated to a full academic department in January 2020 in the same Faculty. The Department has expanded significantly in both education and research to help Singapore to achieve food resilience and security as well as to advance Singapore’s food industry.

The FST Department would like to invite applications for tenure-track faculty position in ‘Artificial Intelligence (AI) in Food Science & Technology’ and ‘Smart Food Processing’.

The candidate will be required to:
• Develop and lead competitive research program.
• Participate in teaching of undergraduate and postgraduate subjects, as well as supervision of Honours students and graduate students.
• Contribute to service duties as required.

Qualifications

Applicants should possess a PhD degree in a related field from an internationally reputable university. Postdoctoral experience of at least 2 years is desirable and industrial experience is highly valued. Applicants should demonstrate strong record and trajectory in research output, grant capture and teaching excellence. Selection will be based on applicant’s track record of relevant accomplishments and potential for outstanding future contributions.

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 seeking a highly skilled and motivated research engineer for Data Center Digital Twin Research and Development. He/she will assist the PIs in evaluating and advancing digital twin solutions for enhanced system performance. The role involves benchmarking existing technologies, developing and evaluating conceptual models, conducting virtual experiments to optimize operational efficiency, and research and development of advanced features. The project is in collaboration with a data centre operator.

Qualifications

Qualification:

Degree in Mechanical Engineering, Mechatronics, Computer Science, or a related field

Experience:

Prior experience digital twin solution, simulation, system design, data center thermal control, is helpful.

JOB DESCRIPTION

We are looking for a highly-motivated research engineer to work on exciting projects in Cybersecurity (AI for Cybersecurity). Need Strong programming skills and familiarity with Cybersecurity and Artificial Intelligence.

Successful candidates will have the opportunity to work with a world-class interdisciplinary team comprising malware, networking, cybersecurity, machine learning, and deep learning experts. Research engineers will also work closely with industry partners and interact with them to understand their real-world needs. The successful candidate will also engage in project scoping with industry companies to develop a solution to address cybersecurity enterprise application needs.

We are looking for candidates with the following key soft attributes:

• Ability to learn
• Willingness to learn
• Strong interest in AI for Cybersecurity

JOB REQUIREMENT

· Bachelor or Master degree in Computer Science, Computer Engineering, Information Technology or related fields

· Knowledge or experience in cyber security, network security, system security using Artificial Intelligence.

· 2-3 Years of working experience in related research areas is a plus.

· Proficient in C/C++, Java, or Python.

· Experience in research- or application-oriented environments is a plus.

· Ability to work independently, as well as in teams, highly desired.

· Good team player with both research and engineering ethics.

· Good interpersonal skills and communication skills for proposals, reports, and publications.

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

1. To assist PI in preparing paperwork with grantors such as proposals, progress reports and contracts.
2. To maintain expense records and project finance accounts.
3. To assist PI in project paperwork such as virement, procurement, reimbursement, etc.
4. To assist PI in writing news articles and help proofread project write-ups from team members.
5. Provide other operational support needed by PI

Qualifications

• Possess a bachelor degree in relevant field
• Candidate must be very meticulous
• Excellent skill in using office software and website tools like excel, PPT, Google Drive.
• Experience in operational job with good record
• Open to fixed term contract

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Fellow position is available in the research group of Asst Prof Mike Z. Shou, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Fellow will work closely with the Principal Investigator (PI) on one or more research projects about video intelligence.

The successful candidate will contribute to:

• To prepare and meet the project deliveries and milestones.
• Conduct research on video intelligence including model design, implementation, evaluation, system development.
• Paper writing and presentation.

Qualifications

• Possess a PhD degree in electrical engineering, computer science or related fields
• Strong first-author publication records (>=2) in top-tier AI conferences like CVPR, ICCV, ECCV, NeurIPS, AAAI, ICLR, ICML, ACM MM.
• Research experiences on computer vision
• Strong programming skills in using Deep Learning tools like PyTorch and GPU clusters.
• Good written and verbal communications.
• Open to Fixed Term Contract

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 develop a novel near-eye display technology for augmented reality (AR).

Key Responsibilities

• Participate in the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Conduct research towards a novel near-eye display for augmented reality and develop a prototype.
• Coordinate procurement and liaison with vendors/suppliers and carry out other project related activities.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• A Bachelor/Master’s degree in computer, mechanics or related programmes.
• Knowledge and experience in near-eye display for VR/AR will be advantageous.
• Able to build and maintain strong working relationships with people within and external to the university.
• Show strong initiative and take ownership of work.
• Teamwork spirit

Key Competencies

• >= 2 years of research experience in near-eye display technologies for VR/MR.
• Teamwork spirit and ownership attitude.