Total 66 Information Technology job vacancies in Education / Training category in D05 Clementi New Town, Hong Leong Garden, Pasir Panjang

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

This is a rare and exciting opportunity to join a DT department within a well-established, outstanding school. Our vision is that the department will be modern and forward-thinking, with learning located in authentic contexts, and that the curriculum will reflect the successful candidate’s creative energy. He/she will have outstanding subject knowledge, a passion for designing and will be at the cutting edge of technological innovation within the field. The successful candidate will be a teacher with commitment, integrity and excellent communication skills and a teacher with flexibility, resilience and a caring approach towards students.

Key Responsibilities

1. Learning & Teaching

• Manage an effective, enthusiastic, and safe learning environment.
• Deliver the curriculum to assigned classes in accordance with the timetable.
• Differentiate lessons according to the abilities and learning needs of individual students.
• Promote independent learning by adopting teaching and learning strategies that develop the competence and confidence of every student.
• Seek to develop students’ attributes through the Tanglin Learner Profile, as well as seek opportunities to develop their own attributes through that framework.
• Ensure the thorough implementation of subject specifications, teaching schemes, assessment policies and reporting procedures.
• Create opportunities for students to develop confidence in the subject through carefully planned and managed activities.
• Support a departmental and whole school culture of innovation that includes varied and exciting teaching approaches, technological integration, and thoughtful evaluation.
• Possess the flexibility required to teach a range of materials, topics, and ability levels.
• Possess the flexibility required to teach either pathway (A level or IB) in the Sixth form.

2. Planning & Development

• Take responsibility for at least one aspect of D&T curriculum development each year following discussion and negotiation with the department leadership team (eg, creating a new scheme of work, drafting of departmental policy, organisation of trip).
• Assist the D&T department leadership team in evaluating and developing the new curriculum.
• Take advantage of opportunities for professional development offered by Tanglin.
• Take responsibility for their professional development and that of colleagues by occasionally leading departmental inset or department meetings in an area of expertise.
• Assist the HOD (Head of Department) in identifying areas for development in D&T within the broader aims of the school development plan.
• Collaborate with colleagues in the planning and delivery of schemes of work, including the choice of appropriate teaching and learning methods to meet the needs of the subject and of different pupils.
• Assist the HOD in adapting curriculum content and methods of teaching and examining as appropriate.
• Support a school culture of innovation that includes technological integration.
• Be supportive of and open to the frequent change that characterises a school such as Tanglin.

3. Management of Resources and the Teaching Environment:

• Assist the HOD in identifying appropriate resources within the limits of the departmental budget.
• Assist the HOD in ensuring that departmental rooms present stimulating environments that help to influence pupils’ attitudes positively towards D&T.

4. Assessment, Recording & Reporting

• Ensure students’ work is regularly assessed according to D&T departmental 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 pupil achievement.
• Assist the HOD in the setting and marking of school examinations and to supervise entries for external examinations.

5. Pastoral and Co-Curricular

• Lead the development of the F1 in Schools program in D&T.
• Contribute to co-curricular activities that broaden pupils’ experiences and contribute to the general life of the school.
• 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 regarding discipline and behaviour, daily routines, duties, homework, leave of absence, and visits, as laid down in the Staff Handbook.
• Be responsible for reporting any concerns about a child to the Designated Safeguarding Lead.

6. Communication and Liaison

• Help to establish an ability to spot and solve problems and to increase resilience in learning, through your own enthusiasm for the subject.
• Contribute wholeheartedly to D&T department activities such as supporting each school with projects, planning ‘House Day’ activities, ‘Children’s University’ and transition days.
• Attend and contribute to meetings of a professional nature with HOD, HOF, HOY, SSLT and in other circumstances when requested.
• Liaise with the HOD and HOF 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 regarding individual students who may have exceptional 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 D&T.
• Contribute to the strengthening of the parent-teacher partnership in individual and whole school initiatives as and when required.
• Assist the HOD in developing effective links with the wider community to extend the study of D&T 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

The National University of Singapore (NUS) is offering a position for a postdoctoral fellow who will work closely with Dr. Wang Chi Cheung and Dr. Vincent Tan in online machine learning (reinforcement learning, multi-armed bandits).

This position is expected to last from one to two years. The start date is negotiable. The candidate is expected to have a PhD in electrical engineering, computer science, or applied mathematics and a strong publication record in machine learning.

The candidate will work closely with Dr. Cheung Wang Chi Dr. Vincent Tan and will use the postdoctoral stint to develop a strong research profile that will enable him/her to find a good faculty position after the postdoctoral stint.

Salary will be extremely competitive and will be commensurate with the candidate abilities, potential, and track record.

If shortlisted, applicants should also arrange for at least two to three letters of reference to be sent to the same address.

Qualifications

• PhD in Electrical Engineering, Computer Science, or Applied Mathematics
• A strong publication record in machine learning
• 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.
Future ship and system design (FSSD) program develop strategic and innovative design capabilities for maritime industry in Singapore and beyond.

The work package WP2.2 in FSSD will conduct the research in the areas of design FMECA, functional FMECA, advanced sensing techniques, sensor and operation data fusion, data analytics and machine learning algorithms for electrical vessels condition monitoring, fault diagnosis and early fault prediction.

The primary responsibility of this role is to deliver on Ship-level intelligent Equipment Health Monitoring (EHM) and will be part of the research team in the FSSD program.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  i. To develop the component level generic Equipment health management (EHM) that use sensor-based and operational data.
  ii. To develop the ship level EHM that integrates the components EHM into the system EHM.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of sensing or data analytics or equipment health management.
• Have a degree in EE/ICT, or mechanical engineering or equivalent.
• Knowledge of equipment health management and programming will be advantageous.

Key Competencies

• Good knowledge in sensing, programming, data analytics.
• Experience in equipment health management will be advantageous.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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 mobile app for visualising geospatial data.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Implement code for improved cartographic algorithms and thematic map designs.
  2. Design human-subject experiments that test how the implemented map designs are used on electronic devices.
  3. Obtain approval for conducting experiments from the Institutional Review Board.
  4. Perform statistical analysis and report the results in the format of journal articles and conference contributions.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of mobile app development.
• Have programming experience in Python and JavaScript.
• Have a Ph.D. degree in computer science, statistics, geography or a closely related field from a regionally or internationally accredited institutions.
• Knowledge of experimental design and computational geometry will be advantageous.
• Knowledge of C++ and R is desirable.

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 and Technology (FST) at the National University of Singapore is recruiting a team of dedicated full-time lecturers. The position is on a non-tenure Educator Track, contracted for three years in the first instance and renewable subject to good performance.

Responsibilities:
• Teach various core FST subjects at undergraduate and graduate level, supervision of Honours students and graduate students and involve in pedagogical activities such as course material development, student counselling and mentoring, student performance evaluation, and evaluation of program outcomes.
• Participate in curriculum design. Explore the effective use of new media to enhance learning experience.
• Promote best practices, innovate educational technologies and support evolution of education strategies.
• Demonstrate engagement by leading/contributing expertise to the departmental projects, events and initiatives.

Qualifications

• PhD in a relevant discipline. Desirable ones include food science and technology, human nutrition or public health.
• University-level teaching experience with good student feedback preferred.
• Preference will also be given to those with relevant work experience and those who bring professional capabilities.
• Ability to work independently to manage academic and associated activities, including the ability to work towards deadlines.
• Excellent communication and interpersonal skills, with a proven ability to work collaboratively as part of an interdisciplinary team.
• Commitment to continual pedagogical improvement and a scholarly approach to education.

Project Overview

This project aims to develop a real-time blood analysis and diagnostic platform using an integrated microfluidic chip. This platform uses precision microfluidic technology to process and profile the biological activity of white blood cells which is related to a host of inflammatory conditions ranging from diabetes, sepsis to leukemia. The platform developed will enable point-of-care diagnosis of diseases and this project will accelerate the platform from bench to bedside through the development, deployment and testing of clinical samples.

This Engineering position offers a rare opportunity to bridge the gap between laboratory discovery of new technologies and real-world implementation of clinical deployment and testing.

Responsibilities

The engineer is responsible for the design, prototype, manufacturing and testing of the medical device. This involves the use of with computer-aided design prototyping, setting specifications and assembly of mechnical/electrical components, testing and deployment of device for field testing.

Responsibilties include:

- To work closely with a team of clinical, mechanical/software engineers and data scientist for the medical device design and prototyping. Gather feedbacks on prototype designs by end-users.

- To Validate designs by analysing data gathered from component or system level testing. Use benchmarking techniques to characterise component and device performance.

- To ensure proper documentation of design history files and standardization of data storage for reports, presentations, technical and administrative documents.

- To source for vendors and components to ensure manufacturability and cost of medical device.

- To support the team for maintenance of equipment, inventory and purchases.

Requirements

- Bachelors/Masters or Ph.D. in Mechanical, Electrical, Biomedical Engineering, or a relevant field with experience developing and supporting embedded systems.

- Minimum Bachelor's or Master's degree with 2+ years of work experience or Ph.D. with 0+ years of experience.

- Rapid prototyping experience in areas such as 3D printing, laser cutting, CNC, injection molding, microcontroller/microprocessor programming and relevant skills in embedded system.

- Prefered experience in commercial manufacturing, R&D project management and hardware testing/certification.

- Excellent debugging skills and strong ability to root cause, isolate and solve software/hardware system issues.

- Fluent in C++, Python (3.X) and relavent coding languages for software-hardware integration.

- A desire to deliver a quality and innovative medical diagnostic product that improves many people’s lives.

- Good communication and managing skills are important to work with colleagues efficiently in addition to creativity to solve problems and find improvements on products and processes already in place.

- Required experience and knowlegde to read/write scientific publications, patent search, schematics and data sheets for hardware components.

- Able and commited to work in Singapore. Willing to commute and meet regularly with vendors and collaborators at NUS, NUH, and partnering hospitals.

- Strong documentation and writing skills

- A desire to deliver a quality and innovative medical diagnostic product that improves many people’s lives.

Relevant Skills

2D/3D Computer Aided Designs, C++, Python, Operating CNC/3D printers, basic use of machine tools, Github

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

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 design and develop a hybrid cloud and edge-based energy management (HCEEM) framework that enables virtual energy trading among distributed energy resources (DERs) and existing utilities, fostering a sustainable and efficient energy ecosystem.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PIs, collaborators, and the research team members to conduct research on DERs and energy management techniques, focusing on the design and development of the HCEEM framework.
• Lead the development of algorithms, models, and methodologies for virtual energy trading among DERs and existing utilities.
• Collaborate with a multidisciplinary team of researchers and engineers to implement and test the HCEEM framework.
• Collect and analyze data from DERs, utilities, and energy markets to evaluate the performance and effectiveness of the framework.
• Publish research findings in reputable journals and present at conferences and workshops.
• Mentor and collaborate with graduate students and junior researchers, providing guidance and support in their research activities.
• Assist in writing grant proposals and securing funding for future research projects.
• Collaborate with industry partners and stakeholders to ensure the practical applicability and relevance of the research outcomes.
• Carry out Risk Assessment, and ensure compliance with Work, Safety, and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Ph.D. in Electrical Power Engineering, Energy Management, or a related field, with a strong research focus on energy management and distributed energy resources. Candidates who have submitted their thesis can apply too.
• Extensive knowledge of energy management techniques, Smart Grid concepts, and virtual energy trading.
• Experience in algorithm development, optimization, and data analysis in the context of energy systems.
• Proficiency in programming languages (e.g., Python, MATLAB) and simulation tools commonly used in energy research.
• Strong analytical and problem-solving skills, with the ability to critically evaluate and interpret research data.
• Excellent written and verbal communication skills, with the ability to publish research findings and present at conferences.
• Proven track record of research publications in reputable journals and conferences.
• Ability to work both independently and collaboratively in a research team environment.
• Prior experience with cloud computing, edge computing, or energy market modeling is advantageous.
• Knowledge of regulatory frameworks and policies related to energy management and DER integration is a plus.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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 research staff conducts research in the areas of video analytics for remote pilotage, video compression, advanced sensing techniques, sensor and operation data fusion, data analytics and machine learning algorithms. The primary responsibility of this role is to deliver the program objectives for remote pilotage.

Key Responsibilities:

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Any other duties as assigned

Job Requirements:

• Have relevant competence in the areas of sensing or data analytics or sensor fusion
• Have a degree in electrical, or computer engineering or equivalent.
• Knowledge of programming, video analytics and compression will be advantageous.

Key Competencies:

• Good knowledge in sensing, programming, data analytics.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

The candidate will be working on projects related to vessel electrification and underwater robot.

Job description

1. Implement state-of-the-art techniques and tools such as data-driven modelling, AI, deep learning, machine learning etc, to solve challenging problems.

2. Perform dynamic modelling of physical systems, control design and the coupling of numerical and physical systems applied to electric vessels, underwater Robotics and/or other systems operating in the ocean environment.

3. Develop hardware and software control architectures, sensing systems to support R&D in the areas of offshore hydrodynamics and fluid-structure interactions. This includes developing, testing, troubleshooting software and verification procedures.

4. Develop engineering requirements, specification and validation criteria for high-quality research using combinations of physical experiments, sensing, numerical simulations as well as data analytics to develop integrated physical-numerical modelling, simulations and applications.

5. Survey literature and implement state-of-the-art techniques and tools (such as AI, deep learning, machine learning, etc) to solve challenging problems.

6. Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to contribute to grant proposals for research funding consistent with the strategic goals of TCOMS.

7. Any other duties as assigned by supervisor.

Job Requirements

Qualification & Field of Study:

The candidate should have a background in engineering / computing or related fields.

Other Requirements:

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Resourceful and self-driven with a high degree of professional integrity.

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.

KEY ROLES AND RESPONSIBILITIES:

The candidate will be responsible for designing and implementing instrumentation and data acquisition solutions and systems to be deployed on site, ensuring that the solutions are reliable and scalable. The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans. The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

QUALIFICATIONS & EXPERIENCE

· Bachelor degree / Diploma in Engineering, Computer Science or any other related field

· Hands-on implementation experience in instrumentation and data acquisition

· Experience in the domain area / technology / programming languages and Communication/Data protocols

· Experience in code management and deployment

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.

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/produce/investigate the development of a Meta Executable Operational Semantics for Efficient Smart Contract Verification, characterizing the features of existing programming languages for smart contracts.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Analysis of existing smart contracts programming languages and extraction of their features.
  2. Development of a meta-semantics able to capture those features presents in smart contracts programming languages and to represent smart contracts written in them.
  3. Formalization of a semantics for the Solidity programming language for smart contracts using the meta-semantics developed in ii.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of Programming Languages, Languages Semantics, and Logic.
• Have a PhD degree in Computer Science or elated areas.
• Knowledge of Theorem Proving will be advantageous

Responsibilities:

1. Contribute to high-quality research and development work in TCOMS laboratory through:

· design of scaled physical test models, such as maritime vessels, offshore rigs, marine renewable platforms, and aquaculture systems for testing in TCOMS Ocean Basin.

· generation of detailed design, production, assembly, and as-built drawings of test models.

· leading a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.

· design of embedded sensors to enhance the measurement of models' behaviour and response.

· document design processes, methodologies, and results.

· engagement with external vendors for component sourcing and additional modification work that are beyond the present capabilities of TCOMS laboratory.

2. Perform research in the following areas:

· Offshore hydrodynamics

· Loads, motions and response analysis of Marine & Offshore platforms and floating structures

· Fluid-structure interactions

3. Collaborate with internal teams, affiliated research institutes and other relevant stakeholders in proposal preparation and submission.

Requirements:

Qualification & Field of Study:

· Bachelor's degree in following or related disciplines:

o Mechanical Engineering, Mechatronics,

o Ocean Engineering, Marine Engineering, Offshore Engineering,

o Electrical Engineering, Computer Engineering / Science

o Offshore/Civil/Structural Engineering, Applied Mathematics

Experience:

· 2 to 3 years of relevant work experience in the following areas:

o Mechanical design.

o Naval Architecture, ocean engineering, marine engineering, hydrodynamics, and systems engineering.

o Project management/productivity software/tools such as MS Office, MS Project.

o Marine structures, offshore structural engineering.

· Proficient with 3D modelling tools such as SolidWorks and AutoCAD.

· Prior experience / knowledge in one or more of the following software /programming languages will be preferred:

o SolidWorks, Rhino, and AutoCAD,

o WAMIT, OrcaFlex, SESAM Suite or equivalent,

o Finite Element analysis tools such as SESAM, ABAQUS, Ansys

· StarCCM+, OpenFOAM,

· Matlab, Fortran, Python and/or C++

· Model experiments in wave flumes, wave tank or ocean basin.

Other Requirements:

· Good interpersonal and communications skills.

· Good organization and interface management skills.

· Ability to adapt and work effectively as team player.

· Resourceful and self-driven with a high degree of professional integrity.

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 Academic Instructor is required to teach the courses in the undergraduate programs offered by the University at Buffalo, The States University of New York, US, in partnership with Singapore Institute of Management.

The roles would include:

• Creation of course design and materials, and implementation of syllabus to meet UB learning objectives;
• Delivery of student-centered, interactive course curriculum, including supervision of project work;
• Create, administer, and mark assessment instruments;
• Evaluate student progress and achievements;
• Hold regular consultation hours;
• Maintain and submit academic records.

Job Requirements:

• A Ph.D or Master's Degree in the exact discipline as specified by the teaching assignment from a nationally or regionally (USA) accredited university is required;
• Terminal degree is preferred;
• At least 2 years of relevant full-time teaching experience in the exact discipline as specified by the teaching assignment at the tertiary level is required;
• Ability independently operate all class level functions of Blackboard classroom management system, including Grade Center, is required;
• Substantial evidence of an active academic research agenda and recent history of publication(s) in peer-reviewed scholarly journal(s) are strongly preferred;
• 5 years of relevant work experience will be an advantage;
• Available to teach during day time on weekdays

Note:

• Only short-listed candidates who meet the specified requirements will be notified.
• Remuneration varies based on the number of classes concluded.

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 project is an oral language proficiency evaluation on primary students. Specifically, the project is to provide an automatic interface to help primary students practice and improve in their mother tongue learning.

The primary responsibility of this role is to contribute to the delivery of an interactive multilingual language learning system. The role will be part of the research and development team to implement an automatic visual dialogue engine based on image understanding that complements the speech evaluation application to promote mother tongue learning for students.

Candidates should have work experience in computer vision, image understanding, object segmentation , and a good knowledge of general machine learning, especially neural networks. Candidates with work experience in computer vision applications including visual question and answer generation will be advantageous, however training will be provided.

Key Responsibilities:

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Help in data collection.
  2. Data preprocessing.
  3. Object Segmentation
  4. Image to text
  5. Text Summarization
  6. Question and Answering Tasks
  7. Machine learning model deployment
• Training will be provided.

Job Requirements:

• Good command of programming in any programming languages.
• Degree in EE, CS or related areas, preferably with good knowledge in computer vision
• Good understanding and application experience of machine learning algorithms
• Familiar with image understanding and object segmentation under the end-to-end framework will be advantageous.
• Familiar with one or more of the open-source tools such as Kaldi, Tensorflow, Pytorch will be advantageous.
• Experience in image processing, opencv, multimodel large language models, image to text models, speech processing and natural language processing or other related algorithms will be advantageous.

The Singapore Institute of Technology (SIT) is a public autonomous university and the third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capital investment in science and technology.

We have an opening for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied artificial intelligence and sustainability that lead to publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please send your resume including a cover letter, CV and a brief statement of your work undertaken in previous work.

Key Responsibilities:

• Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on, but not limited to 5G, AI, sustainability, etc.
• Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers.
• Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met.
• Coordinate procurement and liaison with vendors/suppliers.
• Participate in computer science related laboratories and tutorials for undergraduate students.
• Interview and supervise student assistants in the project.

Job Requirements:

• (Research Fellow) PhD in Computer Science or a related field
• (Research Engineer) Bachelor/Master degree in Computer Science or a related field
• Proven ability to conduct independent research with a relevant publication record
• Outstanding data analytics, mathematical, and computer modelling skills
• Excellent interpersonal communication and oral presentation skills in English
• Self-driven and strong team spirit
• Open to fixed-term contract (renewable upon review of satisfactory performance)