Total 52 design intern job vacancies in Education / Training category in The Philippines

Our client is a private education institution. Due to business needs, they are now recruiting a Lecturer for Graphic Design to be part of their Team for ongoing transformation projects. They are located in the Central - easily accessible.

Key Responsibilities:

• Provide effective academic support to the School in teaching and maintaining academic standards
• Plan, prepare, and deliver lectures, tutorials, and asynchronous learning activities across diverse student groups, including international cohorts where required
• Design, administer, and mark coursework and examinations in line with academic requirements
• Review and ensure the quality and standardization of examination papers within the area of specialisation
• Periodically review and enhance programmes to ensure relevance, quality, and alignment with industry needs
• Evaluate and recommend appropriate teaching and learning materials to support programme outcomes
• Develop and implement online and blended learning strategies
• Support the Assistant Director (Academic) in identifying and developing new programmes for school growth
• Assist in the development and management of academic partnerships and collaborative courses
• Contribute to audits, inspections, and academic quality assurance processes

Requirements:

• Masters/Degree Holder

• 3-4 years of experience with Teaching experience preferred.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R25157233 (Loh Pooi Keng)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Urban-Analytics-&-Computational-Design%29-1/33178-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    Geospatial & Environmental Analytics: Assist in quantifying the built and natural environment using Geographic Information Systems (GIS) and spatial network analyses. Process complex datasets related to urban morphology, microclimate, and social infrastructure.
•    Fieldwork & Data Collection: Conduct on-site microclimate and visual environment audits using portable sensors across selected HDB precincts.
•    Data Processing & Modeling: Utilize scripting languages (Python, MATLAB, R) to analyze large-scale spatial data, integrating environmental metrics with developmental health outcomes
•    Research & Dissemination: Publish findings in high-impact peer-reviewed journals and present at international conferences.
•    Contribute to policy briefs, technical reports, and outreach materials for industry and government stakeholders.
•    Stakeholder Engagement & Coordination: Coordinate with project partners, government agencies, and industry stakeholders, including organising and participating in meetings, workshops, and knowledge-sharing sessions.

Qualifications

Essential:
•    Bachelor’s degree in Urban Science/Analytics, Computational Biology, Environmental Systems, Data Science, Digital Humanities, or a closely related field.
•    Proven proficiency in computational programming and data analysis (Python, MATLAB, R, C++).
•    Demonstrated experience with CAD or geospatial analysis software (e.g., QGIS, ENVI). Familiarity with 3D computational modeling tools (e.g., Rhino3D)  and the ability to adapt to parametric design software (e.g., Rhino/Grasshopper).
•    Strong portfolio or proven experience in data visualization, UI/UX design, and digital media utilizing the Adobe Creative Suite (Illustrator, Photoshop, After Effects).

Location: Pioneer

Duration: 10 months contract

Salary: Up to $5000

Job Responsibilities:
● Drive the development of course-related materials, learning resources and project documentation in collaboration with project co-leads and team members.

● Review, organise and update course-related materials to ensure quality, consistency and readiness for implementation.

● Develop, format and quality-assure learning and assessment materials to ensure clarity, consistency and alignment.

● Develop and refine digital learning materials and simple multimedia resources where required.

● Coordinate meetings, document key discussions, track follow-up actions, and maintain project records and version control.

● Carry out data collation, basic analysis and administrative tracking to support project planning and reporting.

● Work within Blackboard UCV from a staff-user perspective to upload, organise, check and maintain course content and related resources.

● Undertake other general administrative tasks as and when required.

Job Requirements:
● Minimum degree or post-graduate diploma in Education, Instructional Design, Learning Sciences, Learning Design, Communications, or a related field.

● Relevant experience in learning design, course support, project coordination, educational technology support, or a related area will be preferred.

● Familiarity with learning design principles such as constructive alignment, writing learning outcomes, and assessment design.

● Comfortable working in Blackboard UCV as a staff user, including managing and organising course content and resources.

● Real-world experience using Articulate 360, Genially and/or Vyond will be an advantage.

Ally (Kubota Ayako)
CEI Reg. No. R26161457
EA Lic: 99C4599
Recruit Express Pte Ltd

About the Job

We are in search of a highly motivated and accomplished Research Assistant to join our team and significantly contribute to our ongoing research project "Understanding and Generating Interleaved Image-Text Persuasion". The successful candidate will collaborate closely with our research team, working on the development of multimodal AI. This role offers an exciting opportunity to engage in cutting-edge research in multimodal learning and have a substantial influence on the field.

What You’ll Do

• Conduct literature reviews on multimodal persuasion, visual communication, and the evaluation of large vision-language models.
• Support the design and development of datasets and evaluation frameworks for understanding interactions between images and text.
• Assist in evaluating and enhancing multimodal models for analysing and generating interleaved image-text content
• Summarize experimental results and contribute to the preparation of research reports, presentations, and academic publications.

Who We’re Looking For

• Bachelor degree with background in computer science, data science, artificial intelligence, or a related field.
• Strong interest in multimodal AI, vision-language models.
• Basic experience with Python and machine learning frameworks such as PyTorch is preferred.
• Familiarity with natural language processing, computer vision, or large language models is an advantage.
• Good analytical, communication, and organizational skills.
• Ability to work independently while collaborating effectively with a research team.

Applied Deep Learning Research Intern

Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time — the era of AI has begun.

NVIDIA is searching for a world-class researcher in Deep Learning to join our applied research team. If you agree with us that the most interesting thing about the Deep Learning revolution is applying it to solve real-life problems, this team will be a great fit for you. We are passionate about Deep Learning applied to computer vision, audio, text, and other domains, with the goal of improving specific problems encountered in NVIDIA’s products. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products.

What you'll be doing:

• Conceive Deep Learning approaches to solving particular product problems
• You'll construct and curate large problem specific datasets
• You'll design and implement machine learning techniques aimed at solving specific problems
• Collaborate with other team members, both in research and product roles
• Transfer technology to product groups

What we need to see:

• Pursuing a Master's in Electrical Engineering, Computer Science/Engineering, or related field
• Excellent knowledge of theory and practice of machine learning
• Excellent programming skills in a rapid prototyping environment such as MATLAB, Python, or C++
• Knowledge of common machine learning frameworks
• Track record of research excellence or significant product development
• Excellent communications and collaboration skills

Ways to stand out from the crowd:

• Expertise in parallel programming (e.g. CUDA)
• Knowledge of application areas, such as Computer Vision or Natural Language Processing

Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Sustainable-Design%29/32638-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Assistant will contribute to the development of a focused research study that builds on prior exploratory work and advances new lines of inquiry. The role involves synthesising existing material, extending analysis through targeted investigation, and working closely with supervisors to refine frameworks, arguments, and outputs into a coherent final report.

Qualifications

•    The applicant should have a background in architecture and/or urban design/ urban planning.
•    The applicant should have completed graduate studies (i.e both Bachelors and Masters)

•    The applicant should have previous experience of 1-2 years in the field of design/ planning / research.

•    The applicant should demonstrate strong design and research capabilities, with an ability to link architectural form to broader urban, environmental, and infrastructural systems

•    The applicant  should have a working understanding of carbon in the built environment, including its estimation and representation across scales.
•    The applicant should be proficient in synthesising complex information into clear insights, with strengths in analytical thinking, writing, and visual communication.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated AI Research & Development Intern to join our AI Product group that delivers innovative Computer Vision solutions to global customers.

You will conform to high standards and work in a cutting-edge, dynamic, and professionally challenging environment.

As part of your role you will:

• Implement practical solutions using Large Language Models (LLMs), foundational Computer Vision (CV) models, and agentic AI to address real-world challenges.
• Conduct rigorous experiments to validate model performance, including data preparation, evaluation, and benchmarking, ensuring reliability and accuracy.
• Develop prototypes and proof-of-concept systems to test innovative ideas and demonstrate their feasibility and value.

Minimum Qualifications:

• Bachelor’s degree (completed or in progress) in Computer Science, Engineering, Mathematics, or a related technical field.
• Familiar with machine learning and deep learning concepts, with hands-on project experience or strong interest in real-world applications.
• Proficient in at least one programming language, and familiar with database systems, Linux environments, Docker, and Git version control tools.
• Excellent analytical, problem-solving, logical reasoning, communication, and teamwork skills.

Duration:

• Available for at least a 6-month internship.
• Able to work at least 4 days a week (Preferably full-time / 5 days a week).
• We are flexible with start and end dates and allow flexibility to accommodate exams, leave etc.

Why join cynapse?

• Hands-on experience working on cutting-edge AI projects.
• Mentorship from experienced engineers and researchers.
• Opportunity to build impactful solutions and contribute to meaningful projects.
• Exciting work environment with flexible hours

Note: Due to the nature of the role, the position is considered for candidates that are only based in Singapore or have experience studying/working in Singapore

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Lecturer-%28Division-of-Industrial-Design%29/32630-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    Conduct lectures and tutorials (discussion groups) and support students via email, office hours.
•    Provide administrative support and assist in the day to day running of the module.
•    Prepare educational resources and course materials.
•    Evaluate module assessment components.
•    Assist in curriculum development.

Qualifications

•    A PhD in a design related discipline, or one close to completion with a strong track record in education or professional engagements and be able to advance the trajectory of the programme. 
•    Ability to work well independently and as a member of an interdisciplinary team with diverse interests and opinions; team teaching experience preferred.
•    Experience with interdisciplinary curriculum design and development preferred.
•    Commitment to continual pedagogical improvement and a scholarly approach to education.

• Drive the development of course-related materials, learning resources and project documentation in collaboration with project co-leads and team members.
• Review, organise and update course-related materials to ensure quality, consistency and readiness for implementation.
• Develop, format and quality-assure learning and assessment materials to ensure clarity, consistency and alignment.
• Develop and refine digital learning materials and simple multimedia resources where required.
• Coordinate meetings, document key discussions, track follow-up actions, and maintain project records and version control.
• Carry out data collation, basic analysis and administrative tracking to support project planning and reporting.
• Work within Blackboard UCV from a staff-user perspective to upload, organise, check and maintain course content and related resources.
• Undertake other general administrative tasks as and when required

Interested applicants, please call (Eve) Leong Er Evelyn (CEI Reg. No. R1104496) @ 65150600

OR

Email your detailed resume in MS Words format to: eveleong@recruitexpress.com.sg

We regret that only short-listed candidates will be notified.

EA License No: 99C4599

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Living-Materials-Design-and-Development%29/26872-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    The Research Fellow will work closely with the Principal Investigator, Dr. LIN Yiliang, on the research project of bio-interface design between living systems and materials for healthcare and sustainable applications.
•    The Research Fellow will help to develop living materials system integrating functional hydrogels with microorganisms, perform material characterization, and investigate the real-world applications.

Job Requirements

•    A PhD degree in a relevant area, e.g., Chemical Engineering, Material Science and Engineering, Chemistry, Biomedical Engineering;
•    Good publication record;
•    Experienced bio-interface design, construction of living materials, materials characterization, and cell culture.
•    Any experience with 1) animal experiments, 2) advanced characterization techniques, and 3) soft matter mechanics and physics, is a plus
•    This position is available from Jan 2025

About the Role

We’re seeking a curious, driven, and detail-oriented intern to support our research and marketing initiatives. This hybrid role blends analytical rigor with creative storytelling—ideal for someone eager to explore market trends, shape brand narratives, and contribute to strategic campaigns.

Key Responsibilities

Research & Analysis

• Conduct market research on industry trends, competitors, and emerging technologies
• Support development of white papers, reports, and strategic briefs
• Assist in synthesizing data into actionable insights and visual formats

Marketing & Communications

• Contribute to content creation across digital channels (social media, newsletters, blog posts)
• Assist in campaign planning, execution, and performance tracking
• Help maintain brand consistency across platforms and materials

Cross-functional Collaboration

• Work with design, product, and strategy teams to align messaging and insights
• Participate in brainstorming sessions and contribute fresh ideas

Qualifications

• Currently pursuing a degree in Real Estate, Economics, Marketing, Business, Communications, or related field
• Strong interest in research and writing skills
• Creative mindset with attention to detail and visual storytelling
• Proficiency in Microsoft Office, Google Workspace, and social media platforms
• Bonus: Experience with Canva, Adobe Creative Suite, or data visualization tools

What You’ll Gain

• Hands-on experience in a fast-paced, impact-driven environment
• Exposure to strategic marketing and industry research processes
• Mentorship from experienced professionals
• Opportunity to contribute meaningfully to real-world projects

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Hydrogel-Design-For-Regenerative-Medicine%29%2C-ChBE/29010-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    The Research Fellow will work closely with the Principal Investigator, Dr. LIN Yiliang, on the research project of hydrogel design for regenerative medicine
•    The Research Fellow will help to develop hydrogels system, perform material characterization, and investigate the application in regenerative medicine

Job Requirements

•    A PhD degree in a relevant area, e.g., Chemical Engineering, Material Science and Engineering, Chemistry, Biomedical Engineering;
•    Good publication record. 
•    Experienced bio-interface design, construction of hydrogel materials, materials characterization, and cell culture.
•    Any experience with 1) animal experiments, 2) advanced characterization techniques, and 3) soft matter mechanics and physics, is a plus
•    This position is available from Aug 2025 

NVIDIA is searching for several outstanding large language model and foundation model research interns to join our Research team. We are passionate about research that pushes boundaries but also has impact in the real world. You will be part of an outstanding collaborative research team that consistently publishes at the top venues in machine learning and systems. Our existing expertise includes large language model, generative models, and so forth. Your contributions have the chance to create real impact on our products.

What you'll be doing:

Research, design and implement novel large language model and foundation models.

Perform model optimization, compression and acceleration.

Publish original research.

Collaborate with other team members and teams.

Speak at conferences and events.

Transfer technology to product groups.

Collaborate with external researchers.

What we need to see:

Currently pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering or a related field.

Strong background of theory and practice of LLM and foundation model, as well as deep learning.

Excellent knowledge of theory and practice of model compression and acceleration techniques.

Excellent programming skills in some rapid prototyping environment such as Python; C++and parallel programming (e.g., CUDA) is a plus.

Knowledge of common machine learning frameworks, such as PyTorch.

Outstanding research track record, very good publication record.

Excellent communication and interpersonal skills.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

We are seeking a detail-oriented and organised Learning Design & Course Development Executive to support a project team in the development and maintenance of learning materials and project documentation. The role focuses on instructional support, content preparation, and coordination to enable effective course delivery and project execution.

Key Responsibilities

• Support the development of course materials, learning resources, and related documentation in collaboration with the project team
• Review, organise, and update learning content to ensure accuracy, consistency, and readiness for use
• Format and quality-check learning and assessment materials to maintain clarity and alignment with requirements
• Assist in the development of digital learning content and basic multimedia resources where required
• Coordinate meetings, document discussions, and track follow-up actions to support project execution
• Maintain project records, documentation, and version control
• Support data collation, basic analysis, and administrative tracking for reporting purposes
• Manage and update course content using a learning management system from an end-user perspective (e.g., upload, organise, and maintain materials)
• Perform general administrative duties as required to support the team

Interested applicants may email resume to kellychooi@recruitexpress.com.sg

Chooi Kelly (CEI Registration No: R25136207)

Recruit Express Pte Ltd (EA: 99C4599)

We regret only shortlisted candidates will be contacted

The AUMOVIO-NTU Corp Lab is a strategic research collaboration between NTU and AUMOVIO, focusing on developing technically advanced solutions in the areas such as sustainable materials engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized into products and services for AUMOVIO through close collaboration with its business units.

We are looking for a Research Engineer who will contribute to the design, implementation, and optimization of transceivers and couplers for reliable signal transmission and reception over vehicular powerlines.

Key Responsibilities:

• Design, develop, and implement PCB-based transceiver circuits for transmitting and receiving data signals over powerlines.

• Develop adaptive couplers capable of delivering reflectionless signal transmission and reception under varying source and load terminations.

• Design and optimize filtering solutions to prevent signal interference with other electronic components in the system.

• Collaborate with communication systems researchers to enable the generation and processing of the required PLC waveforms.

• Work closely with the specialists to refine prototypes and ensure full compliance with electromagnetic compatibility (EMC) standards.

• Define specifications, select and order components, connectors, cables to withstand automotive operating conditions

• Prepare reports, discuss test results, present to stakeholders, and track progress.

Job Requirements:

• Bachelor’s degree in electrical engineering, electronics engineering, communications engineering, or related fields.

• Familiarity with SPICE, S-parameter circuit models and ability to simulate & optimize for S-parameters.

• Ability to perform schematic capture, PCB layout design for filters/RF coupler circuits, and to generate Bill of Materials and Gerber files.

• Soldering, troubleshooting, and basic mechanical fixing for prototyping.

• Hands-on experience in using multimeter, oscilloscope, spectrum analyzer, and vector network analyzer.

• Background in microwave circuit design, signal generation and processing.

• Experience in Altium Designer, LabVIEW, MATLAB, Keysight ADS, CST or similar tools

• Excellent problem-solving and analytical skills.

• Knowledge of transceiver and coupler design is a plus.

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