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

We require an outstanding teacher to teach Computer Science in the Middle School (11-14 years old). A colleague with commitment, integrity and excellent communication skills. A teacher with flexibility, resilience, and a caring and kind approach towards students. A learner with a drive to develop creative new approaches to student learning within a collaborative environment.

The role reports to Assistant Head of Faculty (Computer Science) (Senior School).

Key Responsibilities

1. Learning & Teaching

• Manage an effective, enthusiastic and safe learning environment.
• Deliver the curriculum to assigned classes in accordance with the School’s timetable.
• Differentiate lessons according to the abilities and learning needs of individual students.
• Promote independent learning by adopting teaching and learning strategies which develop the competence and confidence of every pupil.
• Support nurturing the attributes of the Tanglin Learner Profile with its emphasis on ‘balance’ ‘independence’ and ‘resilience’ as key features of student development.
• Ensure the thorough implementation of subject specifications, teaching schemes, assessment policies and reporting procedures.

2. Planning & Development

• Assist the AHOF in assessing and developing the Middle School (11-14 Years old) Computing curriculum in the school.
• Assist the AHOF in identifying areas for professional development within the Computer Science department.
• Assist the AHOF in identifying areas for development in Computer Science within the broader aims of the school development plan.
• Collaborate with colleagues in the planning and delivery of the schemes of work, including the choice of appropriate teaching and learning methods to meet the needs of the subject, and of different students.
• Keep abreast of current developments in Computer Science and to assist the AHOF in adapting curriculum content and methods of teaching and examining as appropriate.

3. Management of Resources and the Teaching Environment:

• Assist the AHOF in identifying appropriate resources within the limits of the departmental budget.
• Assist the AHOF/HOF in ensuring health and safety policies are followed within the department.
• Assist the AHOF in ensuring that departmental rooms present stimulating environments, which help to influence pupils’ attitudes positively towards the Computer Science.

4. Assessment, Recording & Reporting

• Ensure students’ work is regularly assessed according to Computer Science department policy and that homework is in line with school policy.
• Report to parents in accordance with the school’s reporting policy as laid down in the Staff Handbook.
• To use information gained from assessment, recording and reporting procedures to generate further improvement in student achievement.
• Assist the AHOF in the setting and marking of school examinations and to supervise entries for external examinations.

5. Pastoral and Co-Curricular

• When required, take on a form tutor role in the Senior School and fulfil the responsibilities of that position.
• Follow the School’s policies and procedures with regard to discipline and behaviour, daily routines, duties, homework, leave of absence, and visits, as laid down in the Staff Handbook.
• Contribute to co-curricular activities that broaden pupils’ experiences and contribute to the general life of the school.
• Be responsible for reporting any concerns about a child to the Designated Safeguarding Lead.

6. Communication and Liaison

• Promote the study of Computer Science amongst students and parents.
• Attend and contribute to meetings of a professional nature with HOF, HOY, SSLT and in other circumstances when requested.
• Liaise with the AHOF in respect of pupil records, rewards and sanctions.
• Maintain appropriate links with teaching colleagues in all sections of the school and foster cross-curricular links where appropriate.
• Liaise with members of the Learning Support Team with regard to individual students who may have additional needs, to ensure that those needs are understood, planned for and met.
• Liaise with pastoral staff, including form tutors, Heads of Year, the Assistant Heads of School and the Head of Careers on matters pertaining to the study of Computer Science and.
• Contributing to the strengthening of the parent-teacher partnership in individual and whole school initiatives as and when required.
• Assist the AHOF in developing effective links with the wider community, including business and industry, in order to extend the study of Computer Science and enhance teaching and learning.

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

Characterization of catalytic nanomaterials with advanced electron microscopy

Qualifications

• At least a MSc in materials sciences, Physics, Chemistry, or related disciplines, with a proven ability for outstanding research that is reflected in his/her publication record
• Highly self-motivated and ambitious to do cutting-edge research
• Strong communication skills in English (both Oral and Writing)
• Extensive experience with heterogeneous catalysts
• Have extensive experience working with complex oxide catalysts
• Have extensive experience working with Pt-Sn alloy catalysts
• Extensive experience with identical-location TEM

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 Visiting Senior Research Fellow will be responsible to, and work closely with, the Principal Investigator and the Memory Aging and Cognition Centre. The applicant will focus on neuroimaging , neurocognitive and neurobehavioral studies of dementia and its integration with genetic, clinical and PET data.

Main duties and responsibilities

1. Perform academic research on neurocognitive and neurobehavioral markers of dementia in different population settings imaging and other clinical outcomes in MACC observational and clinical trial cohorts

2. Provide supervision and training to research associates / research assistants / students

3. Provide expertise to work with collaborators on the design and analyses of cognitive and behavioral studies.

4. Contribute to large domestic and international research funding applications.

Qualifications

The applicant should:

1) have a PhD degree, which must include appropriate postgraduate training and experience in neurocognition and neuropsychiatry.

2) have strong knowledge of epidemiology and statistical applications, e.g. SPSS, MS office, PowerPoint.

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

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

The laboratory of Antimicrobial Resistance and Drug Development in A*STAR ID Labs is looking for a highly self-motivated individual to join us as a Research Officer. Our lab is interested in developing new screening assays for drug discovery and early-stage antimicrobial drug development. Lab has extensive experience working with various pathogens (bacteria, virus and parasites).

The job responsibilities include:

• Bacterial and viral assay development and assay optimization
• Compound screening
• Target deconvolution (understanding mechanisms of action and resistance of selected compounds)
• Design and conduct experiments including data collection and analysis
• Summarize and present the data in lab meetings
• Develop new research techniques and approaches
• Collaborative spirit with internal and external collaborators
• Perform maintenance of inventory and procurement of laboratory consumables
• Ensure safe technical practices and procedures

Job Requirements:

• Bachelor Degree in Life Sciences/Biomedical Sciences, Microbiology, Molecular Biology or related field
• 5 years of relevant experience or candidates with relevant final year project expereince
• Highly motivated and able to work independently
• Adaptable to working with different organisms (bacteria or viruses)
• Team player with good interpersonal skills
• Good spoken and written communication skills
• Possible work in a BSL3 facility

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

A Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer will work closely with the Principal Investigator (PI) on quadrotor path planning, control, SLAM, swarm path planning, and cooperative transport. The approach will leverage the advantages of both deep reinforcement learning and conventional controls, combining model-based and model-free methods. Strong hardware experience and C++ coding especially related to quadrotor path planning and control are required.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Bachelor’s or Master’s degree from a reputable university, and with strong hardware expertise in aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, optimization, etc.). Strong publication records in leading journals and conferences, and practical hands-on experience in applying reinforcement learning to real robotics applications (e.g., autonomous driving and unmanned aerial vehicles) are highly valued.

Qualifications

• Possess a bachelor’s or master’s degree in either Electrical Engineering or strictly related (e.g., Mathematics, Computer, Electrical, Mechanical, Information Engineering).
• Have research experiences in control, reinforcement learning, distributed optimization, multi-agent, UAVs.
• Possess a strong experience in practical hands-on hardware project, familiar with 3D modelling and mechanical design. Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithm.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of control theory and robotics applications, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.
• 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

The Department of the Built Environment at the National University of Singapore hosts the Centre for 5G Digital Building Technology (5GDBT), which focuses on several key research areas. These include:

1. Smart Facilities Management (FM) through Digital Twin (DT) technology.
2. Integration of Robotics and Internet of Things (IoT) sensors.
3. Exploration of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (XR).
4. Advancements in 5G Network Technology.
5. Implementation of a Common Data Environment for the integration of Smart Technologies.

The primary objective of the Centre for 5GDBT is to play a pivotal role in Singapore's digital research transformation, aligning with the nation's goal of achieving nationwide 5G coverage by 2025. The Centre for 5GDBT aspires to become a leading hub for digital building technology, focusing on impactful research, comprehensive education, and the adoption of best practices. Its strategy involves leveraging 5G connectivity, cloud-based DT technology, and robotics for applications in Smart FM and the Built Environment (BE) industry. Ultimately, the Centre seeks to revolutionise the design, delivery, and management of Singapore's BE.

The Centre for 5GDBT is in search of a Research Fellow (RF) with a proven ability to lead and execute research projects independently. The role requires a strong foundation in managing research projects and a deep understanding of smart technologies within the Built Environment (BE) industry, specifically in the Facilities Management (FM) domain. This encompasses expertise in technological competencies and smart technologies such as robotics (e.g., cleaning robots, concierge robots) and IoT devices.

The RF will be tasked with not only the technical aspects of research projects but also administrative and managerial responsibilities associated with them. Additionally, they will play a crucial role in supporting PhD students by offering academic and research guidance, collaborating closely with the Principal Investigator (PI), Dr Shah. Ideal candidates should bring substantial research experience in relevant fields, possess robust data analysis skills, and demonstrate proficiency in programming.

The selected candidate will engage in both academic development and hands-on fieldwork, collaborating with fellow research staff and students. This will be carried out under the guidance and supervision of the Principal Investigator (PI).

Job Requirements

- Hold or be in the process of obtaining a Ph.D. (i.e. is in the final stages of PhD studies meaning submitted thesis or pending oral defence) in a relevant field, such as Computer Science, Building Science, or related disciplines.
- Demonstrate a proven track record in effectively managing and actively participating in advanced theoretical and computational research projects.
- Able to develop robotic use-cases for Smart Buildings and Smart Facilities Management
- Working with integration of Digital Twins with Robotics and IoT sensors
- Possess strong programming skills, with specific knowledge or experience in the areas listed below:
• Digital Twin
• Robots = Message Queuing Telemetry Transport (MQTT), Robot Operating System (ROS) 1 & 2, Python, Java, C++
• Cameras = Localised LAN Server, Video Management Server (VMS), Streaming RTMP
• Display = Remote PC Display
• Experience in API, APKs, SDKs, UI/UX
• Experience in Artificial Intelligence (AI), ChatGPT, Video Analytics
• Developer:
(1) AI detection models for Andriod
(2) Video Analytics (MobileNet, TensorflowLite, Kotlin)
(3) Andriod Apps Developer
(4) Live Streaming Andriod Apps
(5) Live Broadcasting Andriod Apps
(6) Backend Video Server Developer
- Skills listed below would be strongly preferred:
• Video Analytics Detection Models
• Large Language Models (LLM)
• Artificial Neural Networks
- Working with integration of Digital Twins with Robotics and IoT sensors, Generative AI, Smart Cameras, Drones
- Exhibit exceptional communication skills, both written and verbal, and demonstrate proficiency in team management. The candidate should also showcase independent problem-solving abilities.
- Fluency in oral and written English is essential to effectively collaborate and communicate within a diverse research environment.
- Experience in writing proposals and paper publications
- Ability to contribute to and lead the development of academic papers for publication in reputable and high-impact journals, reflecting a commitment to scholarly excellence.
- Proven capability to mentor and guide research staff and students, fostering a collaborative and innovative research culture.
- Display a keen interest in staying abreast of emerging technologies and methodologies within the specified research areas, continuously contributing to the intellectual advancement of the team.
- Previous experience in securing research funding, collaborating with industry partners, and participating in interdisciplinary research initiatives would be considered advantageous.

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

NUS is seeking for Research Engineer to work on the following topics.

1. Emerging Low-Carbon Technologies: Uncovering the carbon mitigation potential and cost-effectiveness of deployment of green hydrogen, CO2 capture and utilization, renewables-based heating, etc., in hard-to-abate sectors such as steel, cement, chemicals, and aluminum.

2. Existing Symbiotic Technologies: Exploring the deployment strategies of existing technologies related to industrial symbiosis and material/energy recycling to foster industrial synergy and collaborative infrastructure systems for increased sustainability.

Job Requirements

• Possess a bachelor degree in environmental science, energy, chemical engineering, economics, or other related fields.
• Good written and spoken communication.
• Excellent communication skills and capability to present research findings in publications.
• Open to fixed-term contract.

Note: Applications should include in a single .pdf file:

(i) Resume
(ii) Research statement (1-2 pages), including research summary and plans &
(iii) contacts of 3 reference persons plus the contact of your PhD supervisor.

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

• Pulsed plasma actuators have gained significant traction in the research community for their ability to produce enhanced aerodynamic performance with minimal modifications required to the system geometry. Yet while most studies have focused on flow separation control, less attention has been devoted to skin friction reduction. This project aims to examine and optimize the performance of a novel class of pulsed plasma actuators.
• The selected candidate is expected to conduct experiments to characterize both the aerodynamic performance and plasma properties of these actuators, so as to understand the underlying physical mechanisms leading to any observed drag reduction. Extensive use and development of laser-based techniques should be expected, along with ample potential for use of machine learning approaches.

Qualifications

• PhD in Fluid Mechanics, Aerodynamics, Applied Physics, Plasma Physics, or related field. Experience in laser-based diagnostics and/or machine learning approaches is strongly preferred.