Total 720 technical support engineer job vacancies in Education / Training category in singapore

Name of School: Nan Hua Primary School

Location Address: 30 Jalan Lempeng Singapore 128806

Key Responsibilities:

• Assist teachers with preparation and organization of materials for Science activities, enrichment programs, and competitions.
• Source and procure laboratory materials, and ensure cleanup post-laboratory activities.
• Prepare forms, expenditure claims, and maintain records of invoices and receipts.
• Manage Science teaching resources, including labeling, stocking, and inventory control.
• Ensure the cleanliness, organization, and safety of Science rooms and equipment.
• Regularly inspect and maintain laboratory apparatus and safety devices.
• Maintain a logbook for incidents and assist in ensuring compliance with safety standards.
• Perform additional duties as directed by the Science Head of Department or Level Representative.

Qualifications & Skills:

• Minimum ‘N’ Level certification.
• Proficiency in English with strong interpersonal and organizational skills.
• Attention to detail, teamwork, and the ability to meet deadlines.
• Proficiency in Microsoft Office and willingness to learn new IT skills.
• Experience in a primary school environment is preferred.

Job Scope:

• To provide teaching and learning support to teachers such as preparation of resources / materials for Science laboratory activities, enrichment programmes and competitions, etc;
• To assist to source and purchase materials for laboratory activities, practical tests and enrichment programme and to aid science teachers with the clearing up after laboratory lessons and when required;
• To assist to prepare forms and expenditures claims and keep copies of invoices and receipts;
• To label and keep records of existing and new Science teaching and learning materials and laboratory apparatus such as teachers’ desk copies, reference books, DVDs, lab apparatus and chemicals, etc;
• To maintain loan records of Science Resources;
• To pack and organize the resources in the Science Rooms. Ensure that the Science rooms are clean and conducive for lessons;
• To ensure laboratory equipment, materials and specimens are in good working conditions. Conduct stock-take at least twice a year.
• Assist to update the stock record and breakage record to initiate ordering of replacements, when necessary;
• To ensure proper disposal of waste materials such as sharp waste objects and chemicals;
• To ensure safety of students in the Science rooms. Record and report any incidents to Science HOD / LH. Maintain a laboratory incident log book;
• To check that safety devices in the laboratory, such as emergency eye-washers, showers and fire extinguishers are working;
• To perform any duties assigned by the Science HOD / Level Representative.

Requirements:

• ‘N’ Level;
• Should have good interpersonal skills, pleasant disposition and be meticulous and a team player;
• Should be able to multi-task and meet deadlines;
• Proficient in Microsoft Office software applications. Must be able to learn new IT skills;
• Preferably with similar experience working in primary school environment.

Salary: $1700 - $1800/month

Contract Period: 1 Jan 2025 to 31 Dec 2025

Working Arrangement:

Mondays to Fridays: 7:30am to 3.30pm

Service not required on Saturdays, Sundays and gazetted public holidays

EA License No: 96C4864

Reg. No.: R24121728

Contract Period:

• From 1 Jan 2025 to 31 Dec 2025.

Deployment:

• Mondays to Fridays: 7:30am to 3.30pm, inclusive of one (1) hour lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

Scope of works:

• To provide teaching and learning support to teachers such as preparation of resources / materials for Science laboratory activities, enrichment programmes and competitions, etc;
• To assist to source and purchase materials for laboratory activities, practical tests and enrichment programme and to aid science teachers with the clearing up after laboratory lessons and when required;
• To assist to prepare forms and expenditures claims and keep copies of invoices and receipts;
• To label and keep records of existing and new Science teaching and learning materials and laboratory apparatus such as teachers’ desk copies, reference books, DVDs, lab apparatus and chemicals, etc;
• To maintain loan records of Science Resources;
• To pack and organize the resources in the Science Rooms. Ensure that the Science rooms are clean and conducive for lessons;
• To ensure laboratory equipment, materials and specimens are in good working conditions. Conduct stock-take at least twice a year. Assist to update the stock record and breakage record to initiate ordering of replacements, when necessary;
• To ensure proper disposal of waste materials such as sharp waste objects and chemicals;
• To ensure safety of students in the Science rooms. Record and report any incidents to Science HOD / LH. Maintain a laboratory incident log book;
• To check that safety devices in the laboratory, such as emergency eye-washers, showers and fire extinguishers are working;
• To perform any duties assigned by the Science HOD / Level Representative.

Caldecott

6 months

Monday - Friday

Office hours

• Assist in developing and executing engagement strategy on new focal areas
• Develop engagement toolkits and levers to engage different stakeholders (e.g.religious organisations, Social Service Agencies, corporates)
• Develop stakeholder mapping/tiering to guide customised engagement efforts
• Basic Research Support: Assist in conducting desktop scans and basic research activities (e.g. create online survey form) to gather relevant information
• Dat Analysis and Reporting: Using Microsoft or other tools to collect, analyse, and present data from basic research activities to support decision-making and identify areas for improvement
• Project Support: Ensure progress coordination, documentation and tracking of key research and transformation initiatives. Ensure alignment with project requirements and timeline

Requirements:

• Singaporean
• Degree in any field
• At least 1 year of research support, project support and data management experience
• Experience in managing stakeholders

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO.https://go.persolkelly.com/job/apply/9616

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tacand the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries. Suzana Binte Slemat (EAP No. R1989461) EA Licence No. 01C4394

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

You will work as an integral part of the laboratory operations team, providing support to the laboratory manager in operations and related laboratory duties such as safety matters, procurement and core equipment training. If you thrive in a dynamic environment and have a passion for managing laboratory operations and contributing to scientific advancements, this role could be an exciting fit for you!

Key Responsibilities

• Oversee the daily operations of the laboratory, ensuring that all processes and procedures are followed accurately and efficiently
  Facilitate training and development of laboratory users
  Support the operations team on laboratory safety and documentation
  Ensure compliance with all relevant regulations and safety standards to maintain a safe working environment
  Manage the laboratory procurement of equipment and supplies, including negotiating contracts with vendors and suppliers
  Implement and oversee maintenance schedules for laboratory equipment to ensure optimal performance and longevity
  Maintain the microfabrication cleanroom in functional state
  Stay abreast of technological advancements to enhance operational effectiveness.
  Other ad-hoc duties

Qualifications

• Bachelor’s Degree in Engineering or related field from a reputable university
• At least one year of working experience in a research/laboratory environment and familiarity with research operations
• Working experience in rapid prototyping, CAD or cleanroom microfabrication is preferred, but not necessary
• Understanding of safety regulations and compliance
• Ability to work cooperatively and communicate effectively with team members and researchers
• Passionate in mastering research equipment and passing on knowledge to users

To apply, please send your cover letter, CV and three references (name, institution, email). Only shortlisted candidates will be contacted.

• Plan, supervise and implement the programme for the class in accordance with Centre’s policies and framework.
• Prepare the lesson plans, Conduct evaluation of lessons and Submit periodic reports.
• Classroom management.
• Ensure safety and hygiene of the children.
• Ability to work independently as well as within a team.
• Maintain good communication with the parents and Participate in parents’ discussion groups.

· Job Requirements:

• Minimum with a Diploma or Certificate in Early Childhood Care & Education - Teaching (DECCE-T or CECCCE), Diploma in Child Psychology & Early Education or relevant
• GCE 'O' Level credit in English with a minimum of C6 grading
• Good communication and interpersonal skills
• Have a passion in teaching young children.
• Possess excellent communication and interpersonal skill.

Check out www.abercare.sg for more details

Interested applicants may send in your resume to [email protected]

Abercare.sg | EA License No. 18C9070 | KOH SU WEN, CLARISSA| Registration No. R24119504

JOB TITLE: LEARNING SUPPORT TEACHER (SECONDARY)

Links to: Director of Inclusion, Learning Support Coordinator

WHO ARE WE?

Nexus is an empowering, learning-focused community. We strive to create an honest, open and innovative community with our learners, parents and peers. We believe that we have something unique and special here, and we are proud to be different in the way we work and how we teach and learn.

At Nexus, we do things differently. Each member of staff is valued and recognised as a unique individual collaborating as part of a supportive community to elevate one another with innovative ideas. Our strategies emerge from the collective positive mindsets of our colleagues. You will experience high levels of ownership and empowerment in your role.

JOB DESCRIPTION

The role of the Learning Support Teacher is to support classroom teachers and subject specialists to identify, understand and address the learning needs of all of the young people in their classes, ensuring that each learner is engaged, confident and challenged to achieve.

This involves working directly with teachers and learners, and offering support and guidance to curriculum planning meetings (when necessary) and whole staff professional learning and development meetings. The Learning Support Teacher be responsible for facilitating the learning needs of all learners on the SEN register in their allocated year group(s), where necessary will collaborate with teachers in the classroom, produce Learner Passports and Personalised Learning Plans in collaboration with and for those with identified needs to promote their access to all aspects of the curriculum, use a strengths-based model to empower learners to take responsibility for their learning, use evidence-based interventions to meet the needs of learners and provide coaching to colleagues and parents where necessary.

ROLE AND RESPONSIBILITIES:

• Work with teachers to build capacity and awareness of pedagogical strategies to support learners with diverse needs.
• Support teachers to differentiate and build an inclusive culture within the classroom.
• Interpret specialist reports and produce learner passports/profiles for teachers.
• Work with parents, teachers and learners to develop collaborative action plans.
• Design and develop staff professional development workshops.
• Utilise appropriate assessments to inform next step teaching.
• Support teachers with assessment, analysis and evaluation.
• Attend year group and subject meetings to facilitate discussion around learners.
• Involvement in whole school events and activities as required.

QUALIFICATIONS AND SKILLS

• A recognised teaching qualification
• Bachelor’s degree (or higher qualification) in ​​​​Special Education, Psychology, Social Work, or a related field
• Working knowledge of the PYP, MYP, IGCSE and IBDP frameworks and curricular
• Evidence of continued relevant professional development
• Experience working with bilingual and multilingual learners and learners with diverse needs
• A commitment to diversity, equality, inclusion and belonging
• Cognizance of what the role entails or a willingness to learn
• At least 2 years of relevant experience in an international school environment (preferred)
• Empathy
• Teamwork

Nexus International School (Singapore) is committed to the safety and wellbeing of our children and families. Nexus endorses the Convention on the Rights of the Child, which Singapore ratified on 11 December 2008, and establishes a clear policy and guidelines to protect our learners from maltreatment by any person or persons who come in contact with them in any environment.

Nexus International School (Singapore) is an equal opportunity employer. We respect and seek to empower each individual and value the diverse cultures, perspectives, skills and experiences within our school.

Whilst every effort has been made to explain the main duties and responsibilities, the role may be revised from time to time.

Interested candidates may apply via https://careers.taylors.edu.my/job-invite/3970/

Position Responsibilities

High School Educator Responsibilities

• Foster a sense of student belonging by cultivating joy and purpose throughout the High School.
• Contribute to our commitment to extraordinary care by acting as an advisor for a small group of students and by teaching our advisory social-emotional learning curriculum.
• Identify essential learning and use a planning framework with standards, learning targets, real-world connections, and a culturally responsive curriculum.
• Design quality standards-based formative, summative and self assessments that provide students with frequent feedback and communicate students’ growth and achievement.
• Plan and implement engaging learning experiences that are inquiry-based collaborative, culturally responsive, and differentiated.
• Respond to learners’ diverse needs using responsive, measurable, and research-informed interventions and extensions.
• Utilize flexible, rigorous and adaptive Tier I instructional practices to allow students of all diverse language and learning styles to effectively access learning.
• Possess experience and/or demonstrated skills facilitating restorative conversations when supporting student behavior in the learning environment.
• Collaborate as a member of a Professional Learning Communities (PLCs) that creates a supportive community, plans curriculum, gives and receives feedback, and engages in professional learning and reflection.
• Actively engage in professional learning and growth through regular observation and feedback cycles, walkthroughs, and reflection with Professional Learning Community Coach and Principals, and participate in external opportunities.
• Design and implement inquiry-based learning experiences in and beyond the classroom to prompt learners to question, investigate, create, and reflect.
• Demonstrate an understanding of interdisciplinary connections, teaching and/or learning.
• Creatively leverage flexible learning spaces and flexible grouping to provide for a variety of learning styles, ability levels, and educational backgrounds
• Integrate technology in innovative ways in daily instruction to enhance learning.
• Engage with students in meaningful activities beyond the classroom that extend student learning experiences (coaching, organizing field trips, sponsorship of clubs, events, overseas travel and/or community service projects, etc.).
• Strive for continuous self-improvement as a life-long learner.
• Model the Core Values in your interactions with all members of the school community.
• Lead and engage with students in meaningful activities beyond the learning spaces, which extend learning experiences for students (i.e. travel on Interim Semester, sports coaching, field trips, sponsorship of clubs, attend events beyond the school day, community service projects, etc.)
• Connect with and be available to parents and students during and outside of school hours (in person and via email communication)

Role-Specific Responsibilities

• Use diagnostic assessment to determine students’ strengths and needs in literacy, numeracy, and/or executive function.
• Write/update students’ Individual Education Support Plan using data to inform SMART goals
• Plan data-informed interventions to support the development of reading, writing, math, and executive function skills.
• Use a variety of progress monitoring strategies to monitor student progress toward their goals
• Collaborate in Professional Learning Communities to review data and share progress monitoring documentation and planning for next steps for a plan of intervention.
• Collaborate with PLC members, students, and parents to write Individual Education Support Plans with SMART goals as well as Individual Accommodation Plans
• Collaborate with subject-area teachers and implement a broad range of strategies to support students in a co-taught, inclusive classroom

Position Requirements & Qualifications

• Bachelor’s Degree in relevant field
• Master’s Degree in relevant field preferred
• Teaching license or a degree in education
• A certification in special education preferred
• At least two years full time teaching experience preferred
• Extensive experience working with students with a variety of learning differences
• Experience differentiating instruction and assessment based on student learning needs
• Experience tracking effectiveness of teaching strategies or interventions with the use of progress monitoring documentation
• Experience with tiered supports including but not limited to Response to Intervention (RTI) framework or Multi-Tiered Systems of Support (MTSS)
• Comprehensive knowledge of current best practices in teaching early literacy and numeracy skills
• Demonstrate proficiency in implementing strategies and interventions to support the development of executive function skills.
• Extensive experience in collaborating in Professional Learning Communities to review data and share progress monitoring documentation and planning for next steps for a plan of intervention.
• Must be confident in their ability to teach any student, and have a willingness to provide intervention regardless of the significance of disability or learning need(s)
• Standards-based curriculum experience preferred
• Excellent verbal and written English language skills
• Confident technology skills for teaching and administrative tasks

Working Requirements

• Sponsoring and/or coaching after school arts, activities or sports are part of the responsibility of the professional educator. Therefore, faculty shall be available to direct, coach and/or sponsor an athletic team or other extra curricular activity or arts. Each faculty member is expected to do a minimum of one category 1 activity or sport per year.
• Mandatory attendance of weekly faculty meetings beyond the school day, new hire orientation and educator professional learning days.
• Chaperone and participate in a minimum of four evening and/or weekend school activities each year, as assigned (including "Back-to-School Night", learning conferences, musicals, concerts, and more).
• SAS faculty members are expected to commit to chaperoning learning experiences including those requiring overseas and/or overnight excursions, including but not limited to High School Interim Semester, IASAS Music and other curricular and co-curricular trips.

• Well Established Organization
• Basic $2000 - $2600 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Bishan
• Working hours: 9.00am to 6.30pm (Tuesday to Saturday)

Responsibilities:

• Responsible for administrative matters
• Required to perform front-line customer service tasks such as answering enquiries and following up with email correspondences, etc.
• Co-ordinates, receives and monitors applications for courses, projects and activities at the Area level.
• Prepare claims submission documents for courses, activities, and events and monitor related expenditure.
• Sources for vendors in accordance with the needs of related courses, projects, events and activities assigned budget and prepares Call for Quotations where necessary.
• Supports activities and events as needed.
• Monitor and update office supplies and inventories.
• Submits monthly reports
• Any other duties assigned

Requirements:

• Possess experience in admin related role
• Physically active and interested in outdoor activities (need to organised/participate in outdoor activities)

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

NG JYA YEE (R23119014)

EA Recruitment Pte Ltd

EA License No: 21C0492

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

Research Engineer position in the Department of Materials Science and Engineering at National University of Singapore (NUS).

With a strong focus on industrial projects, we are developing our exciting technologies beyond the lab scale. We are seeking a talented and experienced individual with expertise in material chemistry and chemical engineering to join us.

As a Research Engineer, you will contribute to industry project focusing on scaling up our electro-metallurgical battery recycling technology from lab to pilot scale. Your major focus will be developing a process to synthesize precursor materials (pCAM) with extracted metals from spent battery materials.

• Lead pCAM synthesis processes at the R&D and pilot scale by working in collaboration with engineering team.
• Able to establish process design and synthesis rules to obtain precursors with optimal composition, interfacial properties, crystal structure, particle size, morphology, and electrochemical characteristics.

Qualifications

1. Bachelor or Master in Materials science and engineering, Chemical engineering, Material chemistry, or any relevant field.
2. Minimum of 2 yrs experience in MHP, pCAM synthesis (precipitation, crystallization).
3. Prior experience in process development and piloting new technologies is highly preferred.
4. Experience with material characterization techniques like SEM/EDS, ICP, XRD, FTIR.
5. Strong analytical skills and experience in data analysis and interpretation.
6. Highly motivated, detail-oriented, and able to work independently as well as part of a team in a fast-paced academic environment

Duties:

• Start from the design, development, building and qualifying of various lab instruments, the major focus is in Sample Preparation equipment including our featured FastPrep family (homogenizer).
• Develop and fabricate test equipment in line with test specifications under the direction and guidance of direct supervisor.
• Execute tests using test equipment that measures temperature, electricity, light, flow, pressure, strain, force, distance, time, noise, weight etc.
• Collect and analyze test data/results, document results and outcomes.
• Support the design and fabrication/assembly of both working and visual prototype models. Materials include foam, plastics, and various metals.
• Analyze equipment failures and factory work stoppage problems and provide solutions
• Fabricates, repairs, improves designs of and constructs mechanical and electro-mechanical equipment
• Coordinate with outside calibration vendors effectively
• Maintains detailed and up to date test data in laboratory notebook and active test logs
• Support manufacturing ramp up, and design transfer during product development

Requirement:

• Master's Degree and above in Electrical Engineering or Mechanical Engineering
• 5 years of hands-on Mechanical and Electrical experience.
• Possess broad base of knowledge with understanding and skills in the following areas: Electrical, Fabrication, Tool Making, Machining.
• Must be proficient in the use of machine shop equipment and all hand tools including saws, sanders, drills, grinders, press, brake, shear, lathe, milling machine.
• Able to operate test equipment that measures temperature, electricity, light, flow, pressure, strain, force, distance, time, noise and weight.
• Can work from prints, sketches, written and verbal instructions.
• Reads wiring/electrical and piping schematics and engineering drawings.
• Electrical experience/training in use of and design of AC and DC circuits.
• Piping experience and ability to use electrical test equipment and measuring tools necessary.
• Self-motivated, team player with excellent communication and problem solving skills
• Experience and knowledge of the following areas preferred:

1. Rapid Prototyping
2. Testing and Design Controls
3. Installation
4. Design

We are looking for a skilled AI/ML Engineer to join our innovative team. In this role, you will design, develop, and deploy machine learning models and AI solutions to solve complex business problems. You will collaborate with cross-functional teams to implement AI-driven features and contribute to cutting-edge research in artificial intelligence.

Key Responsibilities:

• Design, develop, and implement machine learning algorithms and models to address business challenges.
• Work with large datasets, clean and preprocess data to create training datasets for ML models.
• Develop and deploy AI-based solutions in production environments.
• Collaborate with data scientists, software engineers, and business analysts to create end-to-end AI/ML solutions.
• Continuously monitor model performance and make improvements or adjustments as needed.
• Stay up-to-date with the latest advancements in AI/ML technologies and integrate them into development processes.
• Conduct research to evaluate new approaches, tools, and techniques for AI/ML applications.
• Contribute to the development of AI/ML frameworks, tools, and pipelines.
• Present findings, insights, and solutions to technical and non-technical stakeholders.

Required Experience & Skills:

• Strong programming skills in languages such as Python, Java, or R.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with deep learning and neural networks.
• Solid understanding of data structures, algorithms, and statistics.
• Experience in handling large datasets, data wrangling, and using databases (SQL, NoSQL).
• Proficiency in cloud platforms (AWS, Azure, Google Cloud) for deploying ML models.
• Experience with model deployment frameworks (e.g., TensorFlow Serving, MLflow).
• Knowledge of software development best practices (e.g., version control, code reviews).
• Strong analytical and problem-solving skills.
• Experience in Natural Language Processing (NLP) or Computer Vision.

How to Apply:
If you have a strong background in AI/ML engineering and a passion for developing cutting-edge solutions, we encourage you to apply.

Job Description:

• To lead, coordinate and work with cross functional teams such as tools suppliers, equipment engineers, process engineers, facility engineers, environment health and safety officer, contractors for tool placement plan.
• To participate in the evaluation, planning and supervision of projects including testing and commissioning.
• To provide support for new chemical and gas evaluations. Plan and execute specialty gas system release/unhooking up.
• To carry out overall cleanroom capacity modelling and planning, work with manufacturing, process and equipment engineering to ensure requirement is met.
• To review capacity model, understanding the constraints and re-lay the equipment layout in the cleanroom to maximise the cleanroom space usage.
• Management of contractor?s services to ensure fulfilment of contracts terms and agreements.
• Identify opportunities for innovation that are relevant and appropriate to the company business objectives
• To review capital and cashflow requirements, driving activities to improve capital efficiency and reduce cost.

Requirements:

• Degree, Diploma in Engineering (Chemical, Mechanical, Electrical/Electronic, Building Management) or equivalent.
• Degree with 3 years and Diploma with 5 years related experience in
• Manufacturing of Semiconductor, Wafer Fab.
• Able to work in fast-paced environment, proactive and able to work independently with minimum supervision, self-driven and self-motivate to get job done.
• Able to work in a manufacturing, production, cleanroom environment.
• Technical knowledge in Facilities Support System such as ACMV, HVAC, Scrubber, Electrical, Compressed Dry Air, Nitrogen, Hydrogen, Process Cooling Water, Ultra-Pure Warter, Chilled Water, Wastewater Treatment etc.
• Possess Project Management skills.
• Strong understanding of building codes, HSE laws, regulations and best practices and the ability to interpret/translate these into compliance activities
• Proficient in utilizing Excel, Power Point, Project, Word & Visio, AutoCAD.

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.

Project Overview

The AMR IRG is an interdisciplinary community of biologists, engineers, and clinicians from MIT and Singapore, sharing a state-of-the art research facility and united by a commitment to providing a supportive intellectual environment where students and staff can learn, grow, and contribute to solving a pressing societal problem.

The objective of this project is to advance the field of RNA analysis by developing and implementing innovative analytical tools. These tools will be used in a comprehensive study of all forms of RNA -- the ribonucleome -- and the >170 RNA modifications -- the epitranscriptome -- in disease pathobiology, host-pathogen interactions, biomarker development, and therapeutic target discovery.

Responsibilities

The Research Engineer will plan and conduct experiments with the aim of studying the roles of RNA modifications in human immunue diseases. The candidate will work primarily on cell culture, RNA isolation, and chromatography-coupled mass spectrometry analysis. As part of this work, the candidate will prepare results for publication, be a liasion with the AMR IRG community, work with external collaborators, and develop strong experimental and communication skills.

Requirements

• B.S. or M.S. in biochemistry, molecular & cell biology, bioengineering, chemical engineering, or a related field.
• Experience in cell culture, RNA extraction, high-performance liquid chromatography or mass spectrometry are prefered. Strong proficiency in oral and written communication in English. Ability to work well with others and as part of a team.

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 notifie

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.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor based on Yb-Ba ions. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration with leading academic and industrial groups within and outside the country.

The team members will work to build electronics to control the ion trap quantum processor. That includes digital design, RF and microwave sources and low noise analog / digital front end. The ideal candidate should have practical experience in at least one of the following fields and desire to cross the boundaries and learn relevant skills.

The successful candidate will be involved in all stages of the development cycle: collaborate with other team members to define the technical requirements, design, manufacturing, testing and integration of the prototype into the control system.

Job Requirements

We are looking for several electrical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Bachelor or Master degree in electronics, electrical engineering or related fields;
• At least 1-2 years of experience in electronics design is preferred;
• Experience in programmable digital logic design using Verilog or VHDL, digital signal processing, and familiarity with control theory;
• Design and characterisation of low noise electronics for the analog front end, good understanding of the noise sources in electronic circuits;
• Design and implementation of the RF electronics circuits.

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 Research Engineer will be involved in developing computer models for assessing climate change impacts on marine ecosystems. He/she will also be involved in collecting field data for calibrating and validating model systems. In addition to the above, the Research Engineer is expected to also participate actively in research meetings, present research findings, write reports and research papers.

Job Requirements

• Possess at least a good Bachelor’s degree in Civil and/or Environmental Engineering or equivalent.
• Experience in computational modelling in environmental engineering or climate change is preferred.
• Open to fixed term contract

Job Description:

Be part of an exciting Team working on cutting-edge advanced packaging process technologies. Partner and work with various FAB users, to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production. Responsibilities will also include assisting in operations support in FAB clean rooms to make sure all rounded supports are provided.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, and professional individual.
• Oversee the Team spare/ chemicals / inventories stores – upkeep with good house-keepings, periodic cycle counts. Maintain the inventory database, ensuring timely and accurate recordings, raise purchase requests accordingly.
• Take charge and provide day to day supports in all logistics needs and initiate material/spare parts procurement when required to ensure smooth Fab operations.
• Accountable for the inventory movements required to enable smooth lot operations across IME Premises.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time.
• Work seamlessly with various stakeholders to provide logistics support and deliver inventory on time.
• Work towards and employ critical thinking, put-up good initiatives to move forward to digitalization.
• Ability to work in a multi-task environment.

Experience:

• Education: Diploma in engineering discipline. Preferably in supply chain logistic/ warehouse operations.
• At least 2 years of warehouse operations.
• Preferably some experience in semiconductor / manufacturing environment, with good wide contacts with semiconductor material suppliers, equipment vendors.
• Strong knowledge-based on excel skills and some knowledge of supply chain analytics.

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 of Operations Research and Analytics (IORA) is seeking a dedicated and skilled Research Engineer to support our research projects focused on the implementation and analysis of machine learning (ML) algorithms. The successful candidate will be instrumental in providing coding expertise, data management, and analytical support to a range of projects in operations research and analytics.

This is an excellent opportunity for recent graduates passionate about applying their technical skills to real-world problems, particularly in the field of machine learning and data analytics.

Key Responsibilities

• Coding and Implementation: Develop and implement machine learning algorithms and models to support IORA’s ongoing and new research projects.
• Data Analysis: Conduct data processing, exploration, and visualization, delivering insights that guide research conclusions.
• Model Evaluation: Collaborate with researchers to evaluate model performance, optimizing algorithms for robustness and efficiency.
• Documentation: Ensure thorough documentation of code, data pipelines, and research findings to facilitate reproducibility and project continuity.
• Collaboration: Work closely with research teams to understand project objectives, gather requirements, and provide technical support in the form of coding and data analysis.
• Maintenance and Troubleshooting: Manage and troubleshoot issues in codebases and data pipelines as they arise, ensuring smooth and efficient project progress.

Requirements

• Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or related field.
• Programming Skills: Proficiency in Python (preferred) or R, with experience in relevant libraries for ML and data processing (e.g., Scikit-Learn, Pandas, TensorFlow, PyTorch).
• Data Management: Familiarity with data extraction, cleaning, and preprocessing methods; experience with SQL or other database management tools is a plus.
• Machine Learning Knowledge: Understanding of machine learning fundamentals, including supervised and unsupervised learning, model selection, and evaluation techniques.
• Analytical Mindset: Strong analytical and problem-solving skills with attention to detail in data analysis and algorithm implementation.
• Team Collaboration: Ability to work collaboratively within a research environment, with effective communication skills to convey technical information clearly.

Preferred Experience

• Experience with version control systems, such as Git.
• Prior research experience or involvement in machine learning or data science projects is advantageous.
• Exposure to cloud computing platforms like AWS or GCP for ML model deployment (optional but a plus).

How to Apply

Interested applicants should submit their resume, a cover letter detailing their interest in the role, and any relevant project portfolios or coding samples that demonstrate their experience with ML and data analysis.

About VIAVI Solutions

VIAVI (NASDAQ: VIAV) is a global provider of network test, monitoring and assurance solutions for telecommunications, cloud, enterprises, first responders, military, aerospace, and railway. VIAVI is also a leader in light management technologies for 3D sensing, anti-counterfeiting, consumer electronics, industrial, automotive, government and aerospace applications.

We are the people behind the products that help keep the world connected at home, school, work, at play, and everywhere in between. VIAVI employees are passionate about supporting customer success and we welcome people who bring their best every day to the company - to question, to collaborate and to push for solutions that will delight our customers.

Role: PQC Research Engineer

Location: Singapore

Summary

We are looking for a highly skilled and motivated Research Engineer specializing in Post-Quantum Cryptography and AI technologies to join our advanced research team. The ideal candidate will have a strong foundation in mathematics, software development, and communication systems. The candidate will focus on designing, analyzing, and validating cryptographic solutions that remain secure against quantum computing threats, contributing to the future of secure digital communication.

Major Responsibilities

· Research and Development:

-Conduct cutting-edge research on post-quantum cryptographic algorithms.

-Investigate potential weaknesses in current cryptographic standards and help develop quantum-resistant algorithms.

-Design cryptographic protocols that ensure security and efficiency in a post-quantum world.

-Investigate and design adoption of AI technology.

· Mathematical Modeling:

- Develop mathematical models and theoretical frameworks for post-quantum cryptosystems.

-Conduct performance analysis and benchmark new cryptographic algorithms for robustness and scalability.

· Software Development:

-Implement and optimize post-quantum cryptographic algorithms in software, using programming languages such as Python, C, C++, or Rust.

-Work with existing cryptographic libraries and frameworks (e.g., OpenSSL, Liboqs) to integrate quantum-safe algorithms.

-Collaborate with software development teams to ensure secure integration of quantum- resistant cryptosystems into applications.

· Security Protocols & Systems:

-Design and test quantum-resistant security protocols for networks, cloud services, and distributed systems.

-Develop key exchange and digital signature algorithms that are secure in the quantum era.

-Explore hybrid cryptography solutions that combine classical and post-quantum techniques for immediate use.

· Collaboration andPublication:

-Work closely with interdisciplinary teams of researchers, cryptographers, and engineers to tackle the challenges of post-quantum cryptography.

-Publish research results in top-tier journals and conferences, and present findings to both technical and non-technical audiences.

· Prototyping andTesting:

-Design and implement proof-of-concept cryptographic systems for practical applications.

-Perform experimental testing to evaluate the performance, security, and efficiency of post- quantum cryptographic methods.

· Stay Updated:

-Keep abreast of the latest developments in quantum computing, cryptography, and related fields.

-Contribute to the company's post-quantum cryptography roadmap and long-term strategy.

Required Qualifications:

· Master’s Degree or above in Computer Science, Mathematics, Electrical Engineering, Information Security, or a related field.

· Proficiency in mathematics, particularly in number theory, algebra, and complexity theory.

· Hands-on experience in software development using languages such as Python, C/C++, Rust, or Go.

· Familiarity with communication protocols and security architectures.

Preferred Qualifications:

· Good understanding of cryptography, including symmetric and asymmetric encryption techniques.

· Good understanding of AI technology

· Experience with post-quantum cryptographic frameworks and algorithms (e.g., NIST PQC candidates).

Skills and Competencies:

· Strong analytical and problem-solving skills.

· Ability to collaborate in a multidisciplinary research environment.

· Excellent communication skills, both written and verbal, to effectively share research insights.

· High level of attention to detail and a proactive approach to emerging security threats.

If you have what it takes to push boundaries and seize opportunities, apply to join our team today.

VIAVI Solutions is an equal opportunity and affirmative action employer - minorities / females / veterans / persons with disabilities.

Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore large-scale/ultra-large-scale visual models and perform system optimization. Data construction, instruction fine-tuning, preference alignment, model optimization.

- Conduct cutting-edge research and development in computer vision, natural language processing, machine learning and general artificial intelligence, especially in the areas of multi-modality, vision and language, etc.

- Publish our latest research results, and help to build our brand in the research community.

- Explore vision/multi-modality application models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Possess research and practical experience in one or more areas of computer vision, encompassing multi-modal understanding, vision-language models (e.g., video captioning, VQA, Text-to-video retrieval, and other related topics), large-scale training, RLHF, multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks.

- At least 3 years of working experience in research or with relevant working experiences;

- Experience with vision-language models and apply them in various downstream tasks.

- Possess coding skills in C/C++ and Python.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Work with large-scale datasets, and build large-scale datasets to scale up foundation models.

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore large-scale/ultra-large-scale visual models and perform system optimization. Data construction, instruction fine-tuning, preference alignment, model optimization.

- Conduct cutting-edge research and development in computer vision, natural language processing, machine learning and general artificial intelligence, especially in the areas of multi-modality, vision and language, etc.

- Publish our latest research results, and help to build our brand in the research community.

- Explore vision/multi-modality application models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Possess research and practical experience in one or more areas of computer vision, encompassing multi-modal understanding, vision-language models (e.g., video captioning, VQA, Text-to-video retrieval, and other related topics), large-scale training, RLHF, multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks.

- Experience with vision-language models and apply them in various downstream tasks.

- Possess coding skills in C/C++ and Python.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Work with large-scale datasets, and build large-scale datasets to scale up foundation models.

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Nanyang Technological University’s ANT Group – NTU Joint Lab is a collaboration between ANT International and NTU. The partnership will explore privacy-preserving methods for large language models (LLMs) and will be overseen by a joint research committee.

We are looking for a Research Engineer II to involved in research and development collaboration with industry, on AI Safety and Trust Technology, especially on the topic of applying fully homomorphic encryption in privacy-preserving machine learning. The successful applicant is expected to be familiar with fully homomorphic encryption and its applications in AI models.

Key Responsibilities:

• Research and development of trust technologies such as privacy-preserving machine learning which are important components of digital trust platforms.
• Be involved in privacy-preserving machine learning and fully homomorphic encryption system development and implementation.
• Assist in preparation of reports and scientific papers.

Job Requirements:

• Master’s degree in computer science, mathematics, information theory or related field
• Participation in privacy, security, and trust related conferences and journals
• Good programming skill, preferably with experience in implementing cryptographic algorithms.
• Be familiar with the following programming languages: C/C++
• Good communication skill, self-motivated, and could deliver under tight schedule

We regret to inform that only shortlisted candidates will be notified.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Senior or Lead Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges. We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will closely work with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.

-Implement MLOps best practices to automate model training, deployment, and monitoring processes.

-Optimize and Implement machine learning algorithms and deep learning architectures.

-Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.

-Optimize AI pipelines for scalability, reliability, and better performance.

-Conduct performance analysis and optimization to improve model efficiency and accuracy.

-Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

-Bachelor or Master's Degree in Computer Science/Engineering or relevant Disciplines

-Must have a minimum of 8 years of experience as a Software Developer/Engineer

-Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerization Technologies

-Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular

-A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.

-Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

-Can do attitude and happy to interface with multiple stakeholders

-Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail

-Excellent verbal and written communication skills

-Familiarity with deep learning architectures and natural language processing (NLP) techniques.

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 Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Senior or Lead Research Engineerto implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges. We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will closely work with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.

-Implement MLOps best practices to automate model training, deployment, and monitoring processes.

-Optimize and Implement machine learning algorithms and deep learning architectures.

-Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.

-Optimize AI pipelines for scalability, reliability, and better performance.

-Conduct performance analysis and optimization to improve model efficiency and accuracy.

-Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

-Bachelor or Master's Degree in Computer Science/Engineering or relevant Disciplines

-Must have a minimum of 5 years of experience as a Software Developer/Engineer

-Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerization Technologies

-Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular

-A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.

-Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

-Can do attitude and happy to interface with multiple stakeholders

-Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail

-Excellent verbal and written communication skills

-Familiarity with deep learning architectures and natural language processing (NLP) techniques.

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.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• To apply machine learning techniques to improve the accuracy of the inferencing system
• To select and analyze specific Android brand/model on their compatibility with the side-channel inferencing system
• To evaluate the performance overhead and accuracy of the inferencing system prototype

• Bachelor or Master Degree in Computer Science, Information Technology, Information Systems, Computer Engineering, or related disciplines
• Project experience in machine learning or Android security is a plus
• Good communication skills in English
• Advanced level of programming and software implementation, especially in C/C++ and Java
• Good understanding of existing machine learning techniques
• Good understanding of Android architecture and Android executables
• Good analytical, technical, and problem-solving skills
• Self-motivated and willing to work in a term

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