Total 48 design intern job vacancies in Education / Training category in The Philippines

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 

Full-Time Fashion Teacher

Albus Arts & Design | Singapore

About Us

Albus Arts & Design is a Singapore-based art education studio dedicated to nurturing the next generation of creative thinkers and designers. We specialise in portfolio preparation for top global art schools as well as exploratory art programs for younger students, offering a unique, studio-based learning environment across disciplines such as fashion, architecture, product design, and fine art.

Role Overview

We are looking for a passionate and dedicated Full-Time Fashion Teacher to join our team. This role involves working closely with both portfolio-level students (ages 14–18) and junior learners (ages 7–12), guiding them through creative exploration as well as structured project development.

You will play a key role in shaping students’ creative journeys—from foundational skills to developing strong, concept-driven fashion portfolios for university applications.

Key Responsibilities

1. Portfolio Teaching (Senior Students)

• Guide students in developing fashion design portfolios for applications to top art and design universities (UK/US/SG)
• Support students through:Concept development & researchMoodboards & visual storytellingFashion illustration & technical drawingTextile experimentation & material explorationGarment construction (basic to intermediate)
• Provide individualised mentorship, helping students develop their own creative voice
• Track student progress and prepare them for portfolio reviews and submissions

2. Junior Group Teaching (Ages 7–12)

• Teach structured fashion exploratory classes in small group settings (max ~6 students)
• Deliver engaging lessons such as:Fashion collage & moodboard creationBasic sewing techniquesFabric manipulation (dyeing, weaving, texture creation)Creative embroideryIntro to fashion illustration
• Create a fun, encouraging, and inspiring classroom environment
• Adapt teaching approaches to suit different learning speeds and personalities

3. Curriculum & Class Preparation

• Prepare lesson plans and teaching materials aligned with Albus curriculum
• Contribute to curriculum development, especially for fashion-related programs
• Ensure lessons are structured, creative, and outcome-driven

4. Student Mentorship & Communication

• Provide feedback and progress updates to students and parents
• Support students outside class with guidance on homework and project development
• Maintain a high level of professionalism and care in student interactions

5. Studio Contribution

• Assist in workshops, holiday programs, and short courses (e.g. summer camps)
• Support open houses, exhibitions, and student showcases when needed
• Contribute to maintaining a creative, studio-based learning culture

Requirements

Skills & Experience

• Background in Fashion Design / Textile Design / Related Field
• Experience in:Fashion illustrationTextile techniques (embroidery, dyeing, manipulation, etc.)Basic garment construction
• Prior teaching experience preferred (especially with children or teens)

Profile

• Passionate about art education and mentoring young creatives
• Strong sense of aesthetics, creativity, and concept development
• Patient, responsible, and engaging with students of different age groups
• Able to balance structure (portfolio teaching) and playfulness (junior classes)

Bonus (Not Required but Preferred)

• Experience preparing students for:Parsons School of Design, University of the Arts London, Pratt Institute etc.
• Familiarity with portfolio requirements for international art schools
• Experience with digital tools (Photoshop, Illustrator, Procreate)

Working Details

• Type: Full-Time
• Location: Singapore (studio-based)
• Schedule: Includes weekdays & weekends (based on class schedule)

Why Join Us

• Work in a creative, studio-driven environment
• Teach highly motivated students aiming for top art schools
• Be part of a growing, design-focused education company
• Opportunity to contribute to innovative fashion curriculum development

Job Description

• We are currently seeking talented individuals with:
• A PhD in many-body quantum physics or similar
• Able to do literature review and summarize the main findings from the literature
• Competence in numerical many-body quantum physics
• Competence in disseminating the outcomes of the research including in peer-reviewed academic publications of international standing
• Ability to support the research team  
• Perform other tasks as required by the Principal Investigator

Job Requirements

• To apply for this position, applicants should be:
• Proficiency or understanding many-body quantum systems out of equilibrium
• Expertise in simulating many-body quantum systems
• Proficient communication and writing skills in English
• Possess excellent problem solving abilities as well as strong attention to detail.
• Someone who can work independently while still collaborating effectively within a team environment when needed.

Job Description:

We are seeking a highly motivated and talented Research Fellow to join our interdisciplinary research team. The successful candidate will conduct cutting-edge theoretical and computational research in the following areas:

Research Areas:

1. Electromagnetism and Plasmonics: Theory and computational modeling of electromagnetism in complex media, plasmonic systems, and metamaterials, with a particular focus on cavity quantum electrodynamics (QED) and interactions between light and matter at the nanoscale.
2. Inverse Design in Nanophotonics and Quantum Nanophotonics: Application of inverse design techniques to optimize and design novel photonic structures and devices, including metasurfaces, photonic crystals, and quantum nanophotonic systems.
3. Plasma and Magnetohydrodynamics (MHD) Modeling: Development and application of advanced plasma modeling tools, such as particle-in-cell (PIC) simulations and magnetohydrodynamics (MHD), to study their interaction with plasmonic or excitonic systems.
4. Novel Optoelectronic Effects: Investigation of new optoelectronic phenomena in low-dimensional materials (e.g., 2D materials, nanowires, and quantum dots) and time crystals, focusing on their potential applications in next-generation devices.
5. Non-Hermitian and Topological Photonics: Study of non-Hermitian systems and topological photonics, including the exploration of novel phenomena such as exceptional points, edge states, and robust modes in photonic systems.

Key Responsibilities:

• Develop and implement theoretical models to describe complex physical systems in the research areas mentioned above.
• Conduct large-scale numerical simulations to study the behavior of plasmonic, nanophotonic, and optoelectronic systems.
• Analyze and interpret simulation results, developing insights into novel physical phenomena.
• Collaborate closely with experimental researchers, providing theoretical guidance and feedback on ongoing experimental work.
• Publish research findings in high-impact, peer-reviewed journals.
• Present research results at internal seminars, conferences, and workshops.
• Contribute to the development of computational tools and code libraries for the group's research.

Qualifications and Skills:

Required:

• A Ph.D. in Physics, Applied Physics, Engineering, Applied Mathematics, or a closely related field. Strong background in electromagnetism, quantum mechanics, solid-state physics, and material sciences.
• Solid experience in computational physics, with proficiency in numerical simulation techniques such as finite-difference-time-domain (FDTD), finite-element method (FEM), particle-in-cell (PIC) simulations, and magnetohydrodynamics (MHD).
• Ability to develop and modify simulation codes to model complex, multi-physics systems.
• Strong analytical and problem-solving skills, with the ability to derive and solve equations analytically or numerically.
• Excellent written and verbal communication skills, with a demonstrated ability to write high-quality research papers and present complex ideas clearly.

Preferred:

• A strong publication record in top-tier journals in related fields.
• Experience with advanced simulation software (e.g., COMSOL, Lumerical, CST, or similar platforms).
• Familiarity with machine learning or artificial intelligence techniques for inverse design and optimization in nanophotonics is a plus.
• Ability to work independently and as part of an interdisciplinary team.
• Demonstrated creativity and innovation in solving complex theoretical and computational problems.
• Experience in collaborative research with experimentalists or other research groups is highly desirable.

Why You’ll Love This Role

The candidate will work together with a multidisciplinary research team to develop novel optoelectronic nanoscale devices and develop on-demand light-matter interaction technology.

What You’ll Do

• Strong publication track record
• Strong foundation knowledge in optics/phase change materials/optoelectronics
• Strong capability with optical alignment and optical characterization is an essential requirement.
• Self-motivated and passionate on research work
• Possess good critical thinking and problem-solving skills.
• Good team player
• Excellent oral and written communication skills
• Prior experience with fabrication or manufacturing of optical elements or devices will be an advantage.
• Experience in FDTD or COMSOL for optics simulation will be an advantage.

Who We Are Looking For

• A PhD degree in physics/optics, materials science, and electrical and electronic engineering;

We have an openings for Research Fellow position at the Bio-inspired Robotics and Design Laboratory (https://brd.sutd.edu.sg) at SUTD.

The role:
The Research Fellow (RF) will support fundamental and applied research in dexterous manipulation and grasping by developing novel soft and hybrid mechanisms, actuation, and sensing technologies for next-generation applications in both harsh and delicate environments. The RF will be involved in projects with (1) a large NRF-funded CREATE program in collaboration with NTU and the Hebrew University of Jerusalem, and (2) the Port of Singapore.
We are looking for researchers with a passion for design and innovation and keen to work with a multi-disciplinary team.

Responsibilities:

• Motion and path planning for a variety of industrial grasping applications
• Robot Navigation and obstacle avoidance using multi-modal sensor feedbak
• Design and run manipulation and grasping experiments in both laboratory environments and real application
  environments

Key requirements:
• A Ph.D. degree in Mechanical Engineering, Robotics, or related fields• Experience with Simulation Tools (Isaac Sim, Gazebo, etc)
• Experience with SolidWorks
• Experience with Vision systems
• Familiarity with Soft Robotics and Additive Manufacturing processes is a plus but not a requirement

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

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!

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.

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-Engineer-%28High-Precision-3D-Printing%29%2C-Division-of-Industrial-Design/32422-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of research engineer for High Precision 3D Printing. 
●    Develop, operate, and maintain high-resolution 3D printing systems, including two-photon polymerization (2PP), extrusion-based printing, and digital light processing (DLP) platforms. 
●    Fabricate and characterize complex 3D structures and scaffolds, ensuring quality, precision, and reproducibility. 
●    Support internal capability development and execute collaborative projects with academic researchers and industry partners. 
●    Assist in preparing technical reports, documentation, and contribute to publications and grant proposals where applicable.
●    Ensure proper laboratory operations, including equipment maintenance, safety compliance, and procurement of materials and components.

The NUS Centre for Additive Manufacturing (AM.NUS) leverages the National University of Singapore world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. AM.NUS explores a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalised patient treatments.

AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) centre in an Institute of Higher Learning in Singapore which comprises five Faculties (Medicine, Science, Engineering, Dentistry and Design & Environment). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC) and Singapore Economic Development Board.

Qualifications

●    Bachelor Degree in Mechanical Engineering/Materials Science/Biomedical Engineering or related field.
●    Expertise in 3D printing. 
●    Experience in 2PP is an advantage.
●    Familiarity with advanced imaging techniques and data analysis software is an advantage.
●    Proficiency in written and spoken English. 

Nanyang Academy of Fine Arts (NAFA), University of the Arts Singapore, an esteemed arts institution with a global reputation seeks an Adjunct Lecturer (Design Thinking and Application), Centre for Lifelong Education at the Centre for Lifelong Education (CLE).

Established in 2005, NAFA’s Centre for Lifelong Education is Singapore’s leading institute for continuing education and training in arts, design and media. Its courses offer opportunities to upskill, reskill and develop new hobbies, through our short courses and certificate courses.

Main Roles and Responsibilities

1. Undertake contact/teaching hours per week in one of the following unit(s)/component(s):

• Design Thinking and Application

2. Design, prepare and develop documents such as lesson plans and assessment descriptors as well as teaching resources/materials

3. Plan and supervise a variety of activities such as projects, productions, collaborations, etc.

4. Supervise and assess students’ assignments/works/projects

5. Prepare and maintain records relating to students’ progress, performance, and attendance

6. Contribute to the review of the assigned unit(s)/component(s)

7. Mentor and provide academic care and support, including career guidance to students

8. Keep up to date on the development of discipline related teaching practices and learning strategies

9. Perform any other duties that may be assigned from time to time

Requirements

1. Minimum Degree, or related discipline

2. WSQ Advance Certificate in Training and Assessment (ACTA) or WSQ Advance Certificate in Learning and Performance will be desirable

3. Minimum 5 years of teaching and relevant working experience

4. Ability to teach online via MS Teams, Zoom, Canvas and/or other relevant applications is preferred

5. Positive, enthusiastic, and results-oriented with the ability to engage adult learners

6. Excellent command of written and spoken English

7. A team player with good interpersonal skills

8. Excellent communication skills, problem-solving and analytical skills

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-Engineer-%28AI-Driven-Autonomous-&-Smart-Manufacturing%29%2C-Division-of-Industrial-Design/32423-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of Research Engineer in AI-Driven Autonomous and Smart Manufacturing, with a focus on Additive Manufacturing (AM). 

•    Develop AI-driven frameworks that integrate LLMs, agentic AI, and multimodal foundation models for autonomous and smart manufacturing applications, with emphasis on additive manufacturing.
•    Fuse multimodal sensor data, reinforcement learning, and vision–language models to enable real-time defect detection, process monitoring, and intelligent decision-making.
•    Support internal capability development and execute collaborative projects with academic researchers and industry partners.
•    Assist in preparing technical reports, documentation, and contribute to publications and grant proposals where applicable.
•    Assist laboratory safety and procurement whenever necessary.

AM.NUS leverages the National University of Singapore world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. 
AM.NUS explores a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalised patient treatments.

AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) centre in an Institute of Higher Learning in Singapore which comprises five Faculties (Medicine, Science, Engineering, Dentistry and Design & Environment). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC) and Singapore Economic Development Board.

Qualifications

●    Bachelor degree in Mechanical Engineering, Manufacturing Engineering, Computer Science, Artificial Intelligence, Industrial Design or a closely related field.
●    Strong background in additive manufacturing and smart manufacturing systems.
●    Proven expertise in machine learning and AI, including experience with LLMs, multimodal models, or reinforcement learning.
●    Experience with engineering design and simulation tools (e.g., AutoCAD, SolidWorks, FEA) is an advantage.
●    Experience with digital twins, knowledge graphs, or cyber–physical systems is an advantage.
●    Proficiency in written and spoken English. 

The Edge AI Acceleration Group at the Singapore University of Technology and Design (https://sites.google.com/view/bowang/home) is looking for a motivated Research Fellow or Research Associate to join us in pushing the boundaries of edge AI acceleration. We focus on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in event-based vision.

What we’re looking for:

• A PhD/Master in Electrical and Computer Engineering or a related field.
• A strong track record of publications in software-hardware co-design (e.g., Neural Architecture Search) or computer architecture (e.g., hardware simulator design)
• Experience in event-based processing or neuromorphic computing is a strong plus

Why join us?

• Work in a flexible and vibrant research environment with state-of-the-art lab facilities.
• Collaborate with A*STAR, the most prestigious research institutes in Singapore, and leading universities worldwide for international exposure
• Enjoy competitive remuneration + excellent opportunities to grow your academic and professional profile

The Humanities, Arts, and Social Sciences (HASS) cluster at the Singapore University of Technology and Design (SUTD) invites applications a full-time, teaching-track faculty position in Economics, with focus on empirical research in areas including but not limited to:

• Behavioral economics
• Econometrics
• Macroeconomics

Research on topics relevant to design, technology or artificial intelligence is preferred. Appointments will be made on an initial three-year contract, renewable subject to review.

The successful candidate will: 

• Lead the development and teaching of new undergraduate courses in Economics for an interdisciplinary B.Sc. degree in design, artificial intelligence, and economics
• Teach courses in our undergraduate core curriculum, such as introductory courses in social science or research methods
• Contribute to interdisciplinary initiatives, in particular relating to Design and AI, through collaboration with colleagues in engineering, architecture, computer science, and design.
• Mentor students, including those working on capstone projects that connect research on human problems with technological innovation.

Applicants should have an excellent record of effective teaching at the university level. We especially seek scholars with the potential to develop new directions in interdisciplinary teaching and who are interested in collaborating with scientists and technologists. Experience in or fostering collaborations with industry or the public sector will also be considered an advantage.

About SUTD and HASS 

SUTD is a young and distinctive university with a mission to nurture technically grounded leaders and innovators. The university champions cohort-based learning and interdisciplinary pedagogy, offering degrees in Architecture and Sustainable Design (ASD), Design and Artificial Intelligence (DAI), Engineering Product Development (EPD), Engineering Systems and Design (ESD), and Information Systems Technology and Design (ISTD). At SUTD, artificial intelligence is not merely a tool but a partner in the design process; together, design and AI form the backbone of our curriculum and research. The HASS cluster plays a pivotal and critical role in the university’s commitment to world-class teaching and research excellence. The current HASS faculty brings core expertise in literature, history, theater, film studies, anthropology, communication, psychology, sociology, business, economics, and urban studies. This unique combination of interdisciplinary faculty has given rise to world-class research and teaching that contribute significantly to HASS fields as well as to interdisciplinary projects with other departments at SUTD. For more information, please visit the following websites: https://www.sutd.edu.sg/ and https://www.sutd.edu.sg/hass/

Application Details

Candidates should submit the following materials:

• A cover letter. 
• A curriculum vitae. 
• A statement of teaching experience and philosophy. 
• Evidence of excellence in teaching, such as course evaluation score
• A writing sample of their scholarly work, such as a job market paper (for recent Ph.D. graduates) or selected publication (for more advanced candidates).
• Syllabus for a new course that would be suitable for a B.Sc. degree that focuses     on the intersection of economics with artificial intelligence.
• Names, affiliations, and email addresses of three referees. (Please note that candidates who advance to the interview stage will be asked to submit two letters of recommendation. Please have your recommenders ready to send their letters via email or Interfolio) 

Responsibilities

About the team
Welcome to the Multimodal Interaction & World Model team. Our mission is to solve the challenge of multimodal intelligence、virtual reality world interaction in AI. We conduct cutting-edge research on areas such as Foundations and applications of multimodal understanding models, Multimodal agent and inference, Unified models for generation and understanding, World Model. Our team is comprising experienced research scientists and engineers who are dedicated to developing models that boast human-level multimodal understanding and interaction capabilities. The team also aspires to advance the exploration and development of multimodal assistant products. 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.

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

Applications will be reviewed on a rolling basis - we encourage you to apply early.Successful candidates must be able to commit to at least 3 months long internship period.

Responsibilities
- Explore and research multi-modal understanding, generative, machine learning, reinforcement learning, AIGC, computer vision, artificial intelligence and other cutting-edge technologies.
- Explore the basic model of large-scale/ultra-large-scale multi-modal understanding and generation interweaving, and carry out extreme system optimization; Data construction, instruction fine-tuning, preference alignment, model optimization; Improve the ability of data synthesis, scalable oversight, model reasoning and planning, build a comprehensive, objective and accurate evaluation system, and explore and improve the ability of large models.
- Explore and break through the advanced capabilities of multi-modal models and world models, including but not limited to multi-modal RAG, visual COT and Agent, and build a universal multi-modal Agent for GUI/ games and other virtual worlds.
- Use pre-training, simulation and other technologies to model various environments in the virtual/real world, provide the basic ability of multi-modal interactive exploration, promote application landing, and develop new technologies and new products with artificial intelligence technology as the core.

Qualifications

Minimum Qualifications:
- PhD degree in computer, electronics, mathematics and other related majors.
- Have in-depth research in one or more fields such as computer vision, multimodal, AIGC, machine learning, rendering generation, etc..
- Excellent analytical and problem solving skills; Ability to solve large model training and application problems; Ability to explore solutions independently.
- With good communication and collaboration skills, proactive work, able to harmoniously cooperate with the team to explore new technologies and promote technological progress.

Preferred Qualifications:
- With excellent basic algorithms, solid foundation of machine learning, familiar with CV, AIGC, NLP, RL, ML and other fields of technology, CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH or SIGGRAPH Asia and other top conferences/journals published papers are preferred.
- With excellent coding ability, proficient in C/C++ or Python programming language, ACM/ICPC, NOI/IOl, Top Coder, Kaggle and other competition winners preferred.
- In the fields of multimodal, large model, basic model, world model, RL, rendering generation, leading projects with too much influence is preferred.

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