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Student and Academic Services Officer - International School Academic [3770]
Working Time: Monday to Friday, 8.30am – 6pm
Working Location: Haw Par Villa (Nearest MRT)
Salary: $3000 - $4000
Overview for the role:
The Student and Academic Services Officer is to provide extensive administration support to academic staff and maintain the applicable academic systems for the school
Job Duties:
1. Academic Staff
-Prepare and maintain sessional academic staff employment contracts.
-Organise and maintain academic staff contact details, network accounts and systems access.
-Ensure academic staff have access to required equipment and resources.
-Obtain necessary teaching approval for academic staff.
-Maintain records of qualifications and CVs of academic staff.
-Register academic staff details through online systems to maintain CPE registration of academic staff.
-Check sessional academic staff teaching claims for submission to Finance for processing.
-Assist in planning and organising Professional Development workshops for academic staff.
2. Students Systems Management
-Manage students’ record and update students’ status on Student Management systems to ensure accuracy of record and academic status.
-Advise students on course requirements.
-Assist with enrolment of new and continuing students.
-Provide support and assist students with academic enquiries.
-Identify students in need of academic skills support and refer them to relevant support class.
-Monitor academic progress to identify students at risk.
-Process course variation applications and provide relevant academic counselling to students relating to the study plan.
-Organise and conduct student academic advising session and briefing when required.
-Ensure student academic progress is in accordance with regulations.
3. Students' Contracts and Student’s Pass Management
-Process student pass renewal application and student pass cancellation for each study period on SOLAR+
-Monitor the validity and expiry of student passes and other types of passes for non-citizens
-Maintain records of the application, payment, approval, and collection of student pass
-Ensure all student pass changes have relevant approvals in line with policy
-Maintain procedures manual for the management of student pass
-Assisting with the preparation and checking of student contracts
-Execute student contracts in accordance with the procedures and in line with policy
-Compliance lead for Student Contracts and Student’s Pass regulatory requirements.
4. Course Planning and Delivery
-Assist in planning of units offering for each study period for all programs.
-Manage and update student study plans each study period for all programs.
-Assist in the development of the academic timetable for each study period in consultation with Director of Academic Services and academic staff.
-Prepare timetable in the Student Management System and setup for students’ class registration.
-Manage students’ class registration via the Student Management System.
-Support the class monitoring process to ensure they are taking place in accordance with the timetable and keep records of any changes.
-Ensure that the class sizes are viable after enrolment is finalised.
-Support academic staff for course delivery requirement.
-Support lesson observation as part of quality management.
-Assist in planning and organising Study Skills workshops for students.
-Maintain up to date knowledge of course structures and academic policies and procedures.
5. Attendance System Management
-Manage the attendance system and liaise with the vendor to ensure the system is operating effectively.
-Ensure that information (e.g. student enrolment and timetable details) on the attendance system is up to date and accurate.
-Monitor the captured attendance records and review the accuracy of the data captured against scheduled timetable.
-Prepare relevant reports from attendance records to facilitate the monitoring of attendance requirements, including identifying students at risk.
-Prepare student attendance records for submission to Immigration & Checkpoints Authority for the purpose of Student’s Pass applications.
-Process students’ absence justification requests and lecturers’ manual attendance requests.
-Process attendance appeals.
-Coordinate and facilitate staff training sessions on the attendance system.
-Coordinate and facilitate the capturing of students’ bio data.
6. Academic Support
-Meet and provide counselling with students who do not meet attendance requirements.
-Provide support and assist students with academic enquiries.
-Prepare the daily classroom schedules on the display monitors and maintain the locations where classroom schedules are displayed.
-Support academic staff for course delivery requirement.
-Assist in preparation of class lists.
-Assist in preparation of class lists.
-Manage students and teaching staff surveys including the creation of the surveys, results compilation, and analysis.
-Assist with the logistics of tests and examinations.
-Assist with the logistics for enrolment period.
-Assist with preparation of Student ID cards.
-Process and prepare students’ letter requests.
7. Others
-Plan and implement student and academic staff surveys.
-Prepare and analyze academic data and reports for Management.
-Ad-hoc tasks assigned as and when required by Associate Director of Academic Services
Job Requirements:
-Diploma in Business Administration / relevant discipline
-Preferable with experience in dealing with International Students.
WhatsApp: +65 82026403
Email: supreme.annechu@gmail.com
14C7279 The Supreme HR Advisory Pte Ltd
R21103770 Chu Jenn Anne
Official account of Jobstore.
Key Responsibilities
Job Requirements
Official account of Jobstore.
Student and Academic Services Officer (Assessments and Progressions)
Working Time: Monday to Friday, 8.30am – 6pm
Working Location: Haw Par Villa (Nearest MRT)
Salary: $3000 - $4000
Overview and Objective of the Position
Job Duties:
1. Assessments and Progressions
2. Students Systems Management
3. Marking and Moderation
4. University Procedures
5. Academic Support
6. Others
Job Requirements:
The Supreme HR Advisory Pte Ltd || 14C7279
R22111009 Cheng Kai Ling
Official account of Jobstore.
Administration Officer | Campus | Haw Par Villa
Working Time: Monday to Friday, 8.30am – 6pm
Working Location: Haw Par Villa (Nearest MRT)
Salary: $2000 - $2500
Overview:
The Administration Officer is responsible to provide quality customer service to stakeholders, administration support to staff.
Job Duties:
Job Requirements:
The Supreme HR Advisory Pte Ltd | 14C7279
Ong Boon Kiet (Travys) | R22104769
Senior Recruitment Consultant
Official account of Jobstore.
NVIDIA is searching for an outstanding researcher on the topic of Foundation Models for Generalist Embodied Agent Research (GEAR). Everything that moves will eventually be autonomous. ChatGPT unifies all kinds of natural language understanding tasks in a single interface: text in, text out. What is the equivalent for an Embodied Agent? What does it take to build a model that actively explores the world, ingests a multimodal sensory stream, plans over long horizons, acquires new skills, and bootstraps its own capabilities?
You will work with an amazing and collaborative research team that consistently publishes influential works on LLMs, multimodal foundation models, AI in gaming, robotics, policy learning, and simulation. Our past projects include Voyager, MineDojo, Eureka, VIMA, MimicPlay, Prismer, and more. Your contributions will have a significant impact on our cutting-edge research projects and will help shape our products.
Design and implement novel techniques and methods for LLMs, multimodal models, and embodied agents.
Engineer robust infrastructure and data pipelines for scaling up foundation models.
Work with product groups to transfer technology.
Collaborate with external researchers.
Must be pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc.
Outstanding engineering skills for rapid research prototyping, open-source release, or production development.
Experience in Python, C++ and CUDA
Excellent knowledge and hands-on experience for training LLMs, multimodal foundation models, or large generative models.
Experience in reinforcement learning, agent learning, and robotics are desirable.
Knowledge of common AI frameworks, such as PyTorch.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront in developing AI Agents!
The hourly rate for our interns is 16 USD - 88 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Official account of Jobstore.
NVIDIA Research Internship Opportunity: Networking Research Team
Join the Networking Research team at NVIDIA Research, a hub for exceptional networking innovators. In this intern position, you will have the opportunity to contribute to the development of next-generation high-performance computing systems at scale. We are looking for individuals with a strong background in systems building research and a comprehensive understanding of computer architecture and communication systems related to distributed computation. At NVIDIA, you will join a team committed to advancing our pioneering technologies in programmable GPUs and more.
What You'll Do:
Develop algorithms, and design hardware and software to extend the current state of the art in computing, networking, and other technology areas critical to NVIDIA's core business.
Invent new techniques, technologies, methodologies, processes, and devices to foster new products or product categories. Deliverable results include prototypes, patents, and contributions leading to new products and publications.
Focus on envisioning future technology for products 1-5 years ahead, rather than on current or in-development products, except to consider their potential extensions and improvements.
What We Need to See:
Pursuing PhD Degree in relevant discipline(s) (CS, CE, EE, Physics, Math) or equivalent experience.
1+ years of relevant industrial and University experience preferred (hardware, software, networking).
Demonstrated ability to work independently.
A proven track record of research and publication in top-tier conferences (ISCA, HPCA, NSDI, etc.).
Strong programming ability in C/C++ and Python is required.
Knowledge of SLURM architecture
Experience with any data-center scale management software
Experience in data-center scale data collection and analysis
Experience in power management techniques
What We’d like to See:
Experience in optimization, resource allocation, scheduling, defragmentation and / or tiling problems
Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great research talent to help us accelerate the next wave of computing - we are looking for people like you to join our journey!
The hourly rate for our interns is 16 USD - 88 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Official account of Jobstore.
We are now recruiting top Research Interns (Autonomous Vehicle Research)! AI-powered autonomous vehicles that can learn, reason, and interact with people are no longer science fiction. Self-driving cars, autonomous delivery vehicles, and autonomous construction vehicles, among others, are getting increasingly close to widespread deployment. However, fundamental research questions still need to be addressed for us to achieve full vehicle autonomy. For instance, how can we: Remove the traditional barriers among perception, prediction, and planning in order to improve overall system performance? Equip autonomous vehicles with online and offline assurances that meet the standards for safety-critical systems? Ensure that autonomous vehicles work seamlessly in new places?
These are some of the exciting questions that the NVIDIA Autonomous Vehicle Research group is tackling. We bring together a diverse, interdisciplinary research team working on core topics in vehicle autonomy, ranging from perception and prediction to planning and control, as well as critical related areas such as decision making under uncertainty, deep learning, reinforcement learning, and the verification and validation of safety-critical AI systems. Our focus is on basic research; lab members are encouraged to publish their work and open-source code. NVIDIA is well known for its team culture, and lab researchers are able to closely interact with others within the company who are experts in perception systems, machine learning, and robotics. There is an opportunity to make a strong impact on products, while having the freedom and bandwidth to conduct ground-breaking publishable research.
What you'll be doing:
Designing and implementing cutting-edge techniques in the field of vehicle autonomy.
Publishing your original research.
Collaborating with other research team members, a diverse set of internal product teams, and external researchers.
Transferring technology you've developed to relevant product groups.
What we need to see:
Pursuing a PhD in Robotics, Computer Science, Computer Engineering or related field.
Relevant research experience in the field of vehicle / robot autonomy.
Strong knowledge of theory and practice of vehicle / robot autonomy, or a related area with a strong interest in connecting your work to autonomous vehicles.
A track record of research excellence with your work published in top conferences and journals such as RSS, ICRA, IJRR, NeurIPS, ICML, CVPR, TAC, etc, and other research artifacts such as software projects.
Exceptional programming skills in Python; C++ and parallel programming (e.g., CUDA) are a plus.
Knowledge of common machine learning frameworks such as PyTorch and Tensorflow.
Strong communication and interpersonal skills are required along with the ability to work in a dynamic, research-focused team.
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!
The hourly rate for our interns is 16 USD - 88 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Official account of Jobstore.
We're Hiring a 3D Reconstruction Research Engineering Intern!
NVIDIA is searching for a world-class intern to join our 3D Reconstruction team, building tools and technologies to help our research teams working at the cutting edge of applying Neural Graphics techniques to create 3D worlds from real world sensor data. Our team works closely with both researchers and Omniverse developers team to enable new 3D Deep Learning methods as well as to bring that work into real world products with applications to simulation, autonomous driving, and robotics. The ideal candidate will be involved in research at the intersection of Machine Learning, Computer Graphics and Computer Vision, with a passion for turning that work into tangible products. With your experience and skills, your work with NVIDIA’s world leading experts will enable contributions to major advancements in 3D reconstruction and it’s applications in industry. With its unique open culture, NVIDIA is one of the best industry labs for AI and graphics research.
GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain - two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.”
What you’ll be doing:
Invent or apply deep learning techniques to the field of 3D and 4D content creation (photogrammetry, NeRF-based techniques, etc.)
Optimize and improve research techniques to enable production-quality results
Integrate deep learning based reconstruction rendering techniques with traditional 3D rendering approaches
Participate in projects to conduct Deep Learning research and publish papers to well-known conferences (ex.SIGGRAPH, CVPR, NeurIPS)
Apply 3D reconstruction research efforts to products advancing simulation for autonomous driving, robotics, and other domains
Currently pursuing a BS, MS, or PhD in Electrical Engineering, Computer Science/Engineering, Math/Physics/Statistics or a related field
Strong technical abilities in traditional computer graphics or 3D reconstruction techniques such as NeRF, Gaussian Splatting, etc – with at least one working project demonstrating these abilities
Coursework in theories and practices of machine learning, including common machine learning frameworks
Coursework in traditional computer graphics and/or compilers
In-depth knowledge of the theory and practice of machine learning and traditional computer graphics
Strong publication record with at least 1 accepted paper for a related well-known conference (SIGGRAPH, NeurIPS, ICML, AAAI, CVPR, ECCV, ICCV, etc.)
Knowledge of common machine learning frameworks
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. Are you creative and autonomous? If so, we want to hear from you!
The hourly rate for our interns is 19 CAD - 51 CAD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are now recruiting top Research Interns (Autonomous Vehicle Research)! AI-powered autonomous vehicles that can learn, reason, and interact with people are no longer science fiction. Self-driving cars, autonomous delivery vehicles, and autonomous construction vehicles, among others, are getting increasingly close to widespread deployment. However, fundamental research questions still need to be addressed for us to achieve full vehicle autonomy. For instance, how can we: Remove the traditional barriers among perception, prediction, and planning in order to improve overall system performance? Equip autonomous vehicles with online and offline assurances that meet the standards for safety-critical systems? Ensure that autonomous vehicles work seamlessly in new places?
These are some of the exciting questions that the NVIDIA Autonomous Vehicle Research group is tackling. We bring together a diverse, interdisciplinary research team working on core topics in vehicle autonomy, ranging from perception and prediction to planning and control, as well as critical related areas such as decision making under uncertainty, deep learning, reinforcement learning, and the verification and validation of safety-critical AI systems. Our focus is on basic research; lab members are encouraged to publish their work and open-source code. NVIDIA is well known for its team culture, and lab researchers are able to closely interact with others within the company who are experts in perception systems, machine learning, and robotics. There is an opportunity to make a strong impact on products, while having the freedom and bandwidth to conduct ground-breaking publishable research.
What you'll be doing:
Designing and implementing cutting-edge techniques in the field of vehicle autonomy.
Publishing your original research.
Collaborating with other research team members, a diverse set of internal product teams, and external researchers.
Transferring technology you've developed to relevant product groups.
What we need to see:
Pursuing a PhD in Robotics, Computer Science, Computer Engineering or related field.
Relevant research experience in the field of vehicle / robot autonomy.
Strong knowledge of theory and practice of vehicle / robot autonomy, or a related area with a strong interest in connecting your work to autonomous vehicles.
A track record of research excellence with your work published in top conferences and journals such as RSS, ICRA, IJRR, NeurIPS, ICML, CVPR, TAC, etc, and other research artifacts such as software projects.
Exceptional programming skills in Python; C++ and parallel programming (e.g., CUDA) are a plus.
Knowledge of common machine learning frameworks such as PyTorch and Tensorflow.
Strong communication and interpersonal skills are required along with the ability to work in a dynamic, research-focused team.
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!
The hourly rate for our interns is 19 CAD - 51 CAD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are now looking for a PhD Research Intern - Programming Systems!
NVIDIA is seeking an outstanding researcher to join our programming systems research team. If you would like to help build the future of computing by equipping programmers with the tools they need to use parallel computing systems, this team will be a great fit for you! We seek to invent innovative parallel algorithm techniques, expressive parallel programming models/languages, powerful code analysis & generation tools, and scalable runtime environments that can help accelerate a broad range of real-world applications. After developing novel solutions and building prototype software that demonstrates their promise, you will work with product teams to help integrate your ideas into NVIDIA's accelerated computing platform.
What you'll be doing:
Develop algorithms and design software extending the state of the art in parallel computing, machine learning, data analytics, and other technology areas surrounding NVIDIA's business.
Invent new techniques, technologies, methodologies, and processes, to enable new products or types of products. Deliverable results include prototypes, patents, leading to products and publications.
Produce technology vision and the basis for products 5-10 years out. Focus should not be on products currently shipping or in development, except as to how they can be extended and improved.
What we need to see:
Pursuing PhD Degree in relevant discipline(s) (CS, CE, EE, Physics, Math).
2+ years of relevant industrial and University experience preferred. Relevant industries include hardware, software, and algorithm development on desktop, mobile, embedded, and datacenter systems.
Strong programming ability: C, C++, Python, and Rust preferred
Ways to stand out from the crowd:
Expertise in applying programming system insights and techniques to problems in machine learning, data science, and/or distributed computing.
Expertise in applying AI, such as large language models, to create new ways of solving the problems of software engineering.
Ability to implement ideas in the CUDA programming model
Experience building software systems used by other developers to solve their own problems.
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. Are you a creative and autonomous computer scientist with a genuine passion for advancing programming models and systems? Would you like to see your innovations potentially impact a wide variety of verticals and industries ranging from AI to HPC to Autonomous Vehicles and Medical Imaging? Come join a diverse research group that works on hard and meaningful problems; that consistently publishes at top venues in graphics, computer vision, parallel computing, and artificial intelligence; and that values real impact on NVIDIA products and the industry at large.
The hourly rate for our interns is 16 USD - 88 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Official account of Jobstore.
Administration Officer | Campus | Haw Par Villa
Working Time: Monday to Friday, 8.30am – 6pm
Working Location: Haw Par Villa (Nearest MRT)
Salary: $2000 - $2500
Overview:
The Administration Officer is responsible to provide quality customer service to stakeholders, administration support to staff.
Job Duties:
Job Requirements:
The Supreme HR Advisory Pte Ltd | 14C7279
Ong Boon Kiet (Travys) | R22104769
Senior Recruitment Consultant
Official account of Jobstore.
We are now looking for a Research Scientist Intern, AI for Gaming!
NVIDIA is hiring a highly-skilled researcher in AI for gaming to join our research team. You will be conducting original research for AI for gaming, including modeling human gaming performance and behavior, perception of gaming scenes, or general intelligence that can play a wide breadth of game genres or titles. You will be building research prototypes and scaling them with large datasets and compute. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products. You will summarize your research findings in extremely high-quality scientific publications.
What you'll be doing:
Define your research, design and implement cutting-edge machine learning techniques.
Publish your original research and present at top-tier conferences and events.
Collaborate with other research team members, a diverse set of internal product teams, and external researchers.
Have a broader impact through transfer and/or open-source of the technology you've developed to relevant product groups.
What we need to see:
Pursuing a PhD degree in Computer Science/Engineering, or a related field. Strong knowledge of machine learning theory and gaming with enough depth and breadth.
A strong research record with publications in top machine-learning or gaming conferences.
Excellent programming skills in Python and familiarity with deep learning libraries and workflows.
Strong communication skills and ability to convey research ideas to a broad audience.
Knowledge and experience in managing large datasets is a strong plus.
Experience with multi-node, multi-GPU training is a strong plus.
Knowledge of human behavior and passion toward gaming are strong pluses.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. NVIDIA is looking for great research talent to help us accelerate the next wave of computing - we are looking for people like you to join our journey!
The hourly rate for our interns is 16 USD - 88 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Official account of Jobstore.
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?
NVIDIA is searching for a world-class ASIC and VLSI Research Intern to join our team. You will develop algorithms and design hardware and software extending the state of the art in computing, graphics, media processing, and other technology areas surrounding NVIDIA's business.
What you'll be doing:
Research and develop creative and innovative ASIC and VLSI design techniques, machine learning accelerator approaches, and/or novel digital VLSI circuits.
Contribute to novel research advancing the state-of-the-art in machine learning accelerator design.
Collaborate on the development of research prototype testchips.
Develop and apply machine learning to ASIC and VLSI design tool flows.
Collaborate with circuits and architecture team members in research and product teams.
Publish and present your original research, speak at conferences and events
Collaborate with external researchers and a diverse set of internal product teams.
What we need to see:
Pursuing PhD Degree in relevant discipline(s) (CS, CE, EE, Physics, Math) or equivalent experience.
2+ years of relevant industrial and University experience preferred. Relevant industries include hardware, software, and algorithm development in PC or workstation graphics, digital video or image processing, video game or console, cell phones or consumer electronics, rendering software, and computing.
Strong programming ability: C, C++ and Perl preferred
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 hourly rate for our interns is 16 USD - 88 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Official account of Jobstore.
We are now looking for a Research Scientist Intern, Human Visual Perception!
NVIDIA is searching for a highly-skilled researcher in human visual perception to join our research team in exploring perceptual issues related to enhancing the video conferencing experience. You will be conducting original research for human visual perception in a complex visual environment, including measuring and modeling human visual perception while using novel visual devices or applications. You will be working with other researchers or product teams to evaluate or steer the direction of research prototypes or NVIDIA products. You will summarize your research findings in high-quality scientific publications.
What you'll be doing:
Define your research, design and execute human subject experiments on visual perception.
Publish your original research and present at top-tier conferences and events.
Collaborate with other research team members, a diverse set of internal product teams, and external researchers.
Have a broader impact through transfer and/or open-source of the technology you've developed to relevant product groups.
What we need to see:
Pursuing a PhD degree in Cognitive Science, Psychology, Computer Science/Engineering, or a related field.
You have experience conducting controlled behavioral experiments. Experience with eye tracking.
You are firmly knowledgeable in data science and statistics.
Strong communication skills and ability to convey research ideas to a broad audience.
A strong research record with publications in top human perception or human-computer interaction conferences.
You are proficient in programming languages, preferably C++, python, and MATLAB.
Experience with 3D graphics tools such as Unreal, Maya, or Unity3D.
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. Are you a creative and autonomous who loves a challenge? Come join our team and help us solve challenges that will continue to drive us forward in the fields of computing, graphics and AI.
The hourly rate for our interns is 16 USD - 88 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearningOfficial account of Jobstore.
NVIDIA is searching for several computer vision and deep learning interns to join the learning and perception research team for an internship. We are passionate about research that pushes boundaries but also has impact in the real world. You will work within an amazing and collaborative research team that has a long history of publishing the results of internship projects at top venues in computer vision and machine learning. We have many experienced mentors in the team and our interns often choose to return for another internship. We carefully craft internship projects such that they match the interns' expertise.
Research, design and implement novel computer vision and machine learning methods.
Work collaboratively with your mentor.
Work with product groups to transfer technology.
Must be pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.
Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
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.
Promising research track record.
Excellent communications 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 productive people in the world working for us. If you're creative and autonomous, we want to hear from you!
We are an AA/EEO/Veterans/Disabled employer. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
The hourly rate for our interns is 16 USD - 88 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
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