computer vision phd position australia

– PhD Projects

The Imaging and Computer Vision Group is always looking for new PhD students.

Here’s what you need to know

As PhD projects need to be tailored to the student and supervisor’s combined interests and matched to our Group’s strategic objectives. Visit our team’s page for an indication of who to contacts for specific areas of interest.

PhD students in Australia are generally funded by government or university scholarships.

Data61 offers PhD stipend and top-up scholarships to domestic and international applicants working on co-supervised research projects together with our partner universities.

Occasionally we receive funding for specific projects, which will be listed on this page.

The actual application is done through the relevant partner universities (for the base scholarships) and Data61 (for Data61 scholarships), details of our scholarship program can be found here .

In the first instance, please contact us via this form directing your inquiry to the contact for your area of interest.

What our projects can offer you

Immersing yourself in CSIRO while completing your study not only provides you with access to our leading scientists and mentors , your placement also provides you with real-life experience working in your area of interest while completing a compulsory component of your study.

For inquiries, please contact us.

919 computer-vision positions in Australia

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Ref 320/24 Postdoctoral Research Fellow in Computer Vision (Hyperspectral Imaging), Hawkesbury Institute for the Environment

Role The Postdoctoral Researcher will support the CRC Future Food research program “National Vegetable Protected Cropping Centre (NVPCC) – Automated Crop Monitoring for Protected Cropping systems” run

months. About the Role The Postdoctoral Researcher will support the CRC Future Food research program “National Vegetable Protected Cropping Centre (NVPCC) – Automated Crop Monitoring for Protected Cropping

2024 RTP round - Development of Advanced Computer Vision and Deep Learning Models for Medical Image Analysis: Alzheimer's Disease as a Use Case

on leveraging advanced computer vision (CV) and deep learning (DL) techniques to develop a state-of-the-art computer - aided detection and diagnosis (CAD) system for early-stage Alzheimer's disease (AD) detection

PhD Scholarship in Computer Vision and Machine Learning

This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality

Machine Learning and Computer Vision for Ecological Inference

"A picture is worth a thousands words"... or so the saying goes. How much information can we extract from an image of an insect on a flower? What species is the insect? What species is the flower? Where was the photograph taken? And at what time of the year? What time of the day? What was the...

Associate Dean (Interaction, Technology & Information)

. As a newly established Discipline, encompassing Human- Computer Interaction , Information Interaction and Retrieval, and Computer Science Education, you will help to shape the vision and composition

Casual Student Success Partner (Retention) (multiple positions available)

learning and teaching practices in line with our Real World Learning Vision , so that our graduates are highly skilled, enterprising, and well suited to 21st century employment and careers. We are committed

Fundraising Coordinator

of Newcastle stands as a global leader distinguished by a commitment to equity and excellence. Our vision is to be a world-leading University for our regions and creating a better future for our regions and the

Casual Sessional Academic - School of Computing , S2 2024

of large-scale systems of people, whose actions and interactions are influenced by our digital, physical and biological environment. The ANU College of Engineering, Computing and Cybernetics (CECC) hosts

Lecturer - Geographic Information Science

Our university The University of Newcastle stands as a global leader distinguished by a commitment to equity and excellence. Our vision is to be a world-leading University for our regions and create

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Computer Vision

Developing advanced computational methods for automated image analysis and downstream data analytics, The Computer Vision Group employs methods that are based on solid mathematical and statistical modelling, as well as data-driven artificial intelligence using machine and deep learning. Research challenges include image restoration and reconstruction, super-resolution, image registration, object detection, segmentation, quantification, classification, tracking, and multimodal analysis of visual and nonvisual data. Primary application areas investigated by the group include medical diagnostics, biological research, biomedical informatics, remote sensing, robotics, and manufacturing.

Head of research group

Erik Meijering

Arcot Sowmya

Imran Razzak

Sonit Singh

Yanming Zhu

Adjuncts and external affiliates.

Changming Sun

Dadong Wang

PhD (Computer Science)

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Use your advanced research skills to contribute to the growth of computer science. 

You're viewing program information for local students.

RMIT considers you a local student if you are:

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• a person seeking asylum who holds either a: Temporary Protection Visa (TPV), or Safe Haven Enterprise Visa (SHEV) or Bridging Visa E or Humanitarian Stay (Temporary) visa or Temporary Humanitarian Concern Visa.

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If you are unsure or hold a different visa type, please contact  Study@RMIT for more information.

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You're viewing program information for international students..

RMIT considers you an international student if you are:

• intending to study on a student visa, or
• not a citizen or permanent resident of Australia, or
• not a New Zealand citizen, or
• not a a person seeking asylum who holds either a: Temporary Protection Visa (TPV), or Safe Haven Enterprise Visa (SHEV) or Bridging Visa E or Humanitarian Stay (Temporary) visa or Temporary Humanitarian Concern Visa.

If you are unsure or  hold a different visa type, please contact  Study@RMIT for more information.

Not an international student?

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Research Training Scheme

See admissions

AU$36,480 (2024 annual)

As a computer science research candidate, you have the flexibility to pursue an individual topic, or contribute to one of our existing research areas.

You will join an active research community, working with academics, peers and partner organisations who have demonstrated research success in a range of specialities, including:

• artificial intelligence
• machine learning
• data science and analysis 
• distributed systems and networking
• heuristic optimisation
• information retrieval and web search 
• software engineering.

RMIT's success is demonstrated in international university rankings, with computer science and information systems at RMIT ranked #10 in Australia and in the top 200 globally per QS Rankings by Subject 2024, in the top 150 globally for ShanghaiRankings by Subject 2022 and 124th globally (top 150) for 2022 NTU World University Rankings.

The Australian Research Council identified our research in Artificial Intelligence and Image Processing and Information Systems as above world standard in the Excellence in Research for Australia (ERA) reports.

Research collaborations

There are many research collaborations with national and international institutes, centres, groups and partners, including strategic partnerships with:

• RMIT Data Analytics Lab
• Australian-India Research Centre for Automation Software Engineering (AICAUSE).

Research support

Throughout your candidature, you will be supported through:

• expert supervision
• participation in high-quality professional development programs delivered by RMIT's School of Graduate Research
• access to RMIT's extensive facilities, laboratories and equipment and those of our partners.

Computer science candidates may be eligible for a range of scholarships including:

• Australian Postgraduate Awards – funded by the Australian Government
• PhD and Research Masters Scholarships – funded by RMIT University
• PhD scholarships in computer science and IT – funded by the School of Science
• other postgraduate research scholarships.

How you will learn

Research at rmit, time spent on research.

Full-time candidates are expected to commit at least four days per week (or at least two days per week for part-time candidates) to their research. The academic year is 48 weeks.

Regular contact with your supervisor

A schedule of meetings with your supervisor/s must be established to assess progress against milestones and timely completion.

Resources, facilities and support

You will have access to the Learning Hub and other online and digital resources through the myRMIT student portal.

You will be part of an active research community and have access to resources and workshops to help you succeed.

School of Graduate Research

The School of Graduate Research works with Schools to further support candidates during their postgraduate research degree.

RMIT University is committed to providing you with an education that strongly links formal learning with professional or vocational practice.

Computer science and information technology projects are heavily based on industry needs and we are currently working with:

• Australia Council for the Arts
• Deloitte Digital
• RealThing Entertainment Pty Ltd

Learning outcomes

The knowledge and skills you will acquire throughout this degree and how they can be applied in your career are described in the  learning outcomes .

Electives and course plan

You will complete this program under academic supervision.

The PhD program is structured to enable you to:

• complete a compulsory research methods course
• receive training in research integrity and ethics
• select studies in qualitative and quantitative research techniques
• complete a thesis/project which demonstrates your original contribution to the field and your ability to communicate complex or original research for peers and the community to an international standard

You are required to complete:

Research Integrity modules

You are required to complete the online modules:

• Research integrity
• Copyright and intellectual property

Research methods for sciences

Research methods courses step you through the literature review and preparing your research proposal for confirmation of candidature. They are taught in large discipline groups.

You may need to complete an ethics module to ensure your research is ethical and responsible.

Research Techniques

You may elect to take (where relevant) electives in qualitative or quantitative research techniques once data collection has begun. You can use your own data to explore different research analysis techniques. Your supervisor will help you decide when you should take these electives.

Co-curricular activities

You are encouraged to participate in activities offered with the university, college and school according to your needs and interests.

This PhD may be undertaken in a project, thesis by publication or thesis mode. Prospective candidates should discuss these modes of submission with their potential supervisor/s.

Course structure

Choose a plan below to find out more about the subjects you will study and the course structure.

*The maximum duration of the PhD program is 4 years full-time and 8 years part-time. However, candidates are expected to complete their program within 3-4 years full-time equivalent and 6-8 years part-time equivalent.

*The maximum duration of the PhD program is 4 years full-time. However, candidates are expected to complete their program within 3-4 years full-time equivalent.

Note: International student visa holders can only study full-time.

You will be able to pursue an academic career in a university, be employed in senior leadership, management and research positions in government, scientific and industrial research laboratories, or work in or start high tech companies.

On completion, our candidates have gone on to senior positions with industry leaders including SENSIS, Seek, CSIRO and Tinder.

Minimum requirements for admission

Prerequisites, selection tasks.

The minimum requirements for admission to a PhD program are:

• a bachelor degree requiring at least four years of full-time study in a relevant discipline awarded with honours. The degree should include a research component comprised of a thesis, other research projects or research methodology courses that constitute at least 25% of a full-time academic year (or part-time equivalent). The applicant must have achieved at least a distinction average in the final year;  or
• a master degree that includes a research component comprised of at least 25% of a full-time academic year (or part-time equivalent) with an overall distinction average or a master degree without a research component with at least a high distinction average;  or
• evidence of appropriate academic qualifications and/or experience that satisfies the Associate Deputy Vice-Chancellor, Research Training and Development or nominee that the applicant has developed knowledge of the field of study or cognate field and the potential for research sufficient to undertake the proposed program.

At RMIT a grade of distinction represents academic achievement of 70% or higher and a high distinction is 80% or higher.

If you are a current master by research candidate, you are able to apply for a transfer to a doctor of philosophy program through the process prescribed in the  RMIT Higher Degree by Research policy .

These entrance requirements are the minimum academic standard you must meet in order to be eligible to apply for the program. You will need to complete a selection task as part of your application.

A selection process will be conducted in conjunction with the School and supervisors you nominate.

For further information on the steps you need to take to apply for a research program see  How to apply – Research programs .

English language requirements

Research proposal and supervisor.

You must attach a substantive research proposal that is 2 to 5 pages in length which articulates the intent, significance and originality of the proposed topic using the following headings:

a) title / topic b) research questions to be investigated in the context of existing research/literature in the area c) significance and impact of the research d) methodology / research tasks required to undertake the research e) particular needs (e.g. resources, facilities, fieldwork or equipment that are necessary for your proposed research program, if applicable).

Your application will not be considered if you have not discussed your research topic with a proposed senior and associate supervisor or joint senior supervisors. You must provide the names of the academic staff in the school you have applied to and with whom you have discussed your proposed research.

To study this course you will need to complete one of the following English proficiency tests:

• IELTS (Academic): minimum overall band of 6.5 (with no individual band below 6.0)
• TOEFL (Internet Based Test - IBT): minimum overall score of 79 (with minimum of 13 in Reading, 12 in Listening, 18 in Speaking and 21 in Writing)
• Pearson Test of English (Academic) (PTE (A)): minimum score of 58 (with no communication band less than 50)
• Cambridge English: Advanced (CAE): minimum of 176 with no less than 169 in any component.

For detailed information on English language requirements and other proficiency tests recognised by RMIT, visit  English language requirements and equivalency information .

Don't meet the English language test scores? Complete an English for Academic Purposes (EAP) Advanced Plus Certificate at  RMIT English Worldwide .

You can gain entry to this program from a range of RMIT four year  Bachelor and Honours degrees  or  Postgraduate  or Masters by Research programs.

Fee summary

Fee information for masters by research and doctorate (PhD) programs.

If you are an Australian citizen, Australian permanent resident or New Zealand citizen you may be eligible for a Research Training Scheme (RTS) place where your tuition costs are funded by the Commonwealth Government under the RTS and you have full exemption from tuition fees.

Acceptance in an RTS place is very competitive and places are granted on the condition that you meet annual progress requirements and complete within the allotted time for your program and your status as a part-time or full-time candidate.

This means a maximum of 2 years for a full-time Masters by Research or 4 years for a PhD (or the equivalent part-time).

Contact the School of Graduate Research for more information.

The  student services and amenities fee (SSAF)  is used to maintain and enhance services and amenities that improve your experience as an RMIT student.

In addition to the SSAF there may be  other expenses  associated with your program.

Income tax deductions

Candidates may be eligible to apply for income tax deductions for education expenses linked to their employment. See the  Australian Taxation Office (ATO) website  for more information.

RMIT awards more than 2000 scholarships every year to recognise academic achievement and assist students from a variety of backgrounds.

The annual tuition fee for 2024 is AU$36,480.

The total indicative tuition fee for 2024 commencement is AU$151,680.

International applicants

• Fees information  for international candidates looking to study at RMIT's Melbourne campuses.
• PhD  and  masters by research  fees for international candidates studying offshore. 

Other costs

Important fee information.

Find out more details about  how fees are calculated  and the expected annual increase.

Applying for refunds

Find information on how to apply for a  refund  as a continuing international student.

Frequently Asked Questions (FAQs)

Looking for answers or more general information.

Use our Frequently Asked Questions to learn about the application process and its equity access schemes, find out how to accept or defer your offer or request a leave of absence, discover information about your fees, refunds and scholarships, and explore the various student support and advocacy services, as well as how to find out more about your preferred program, and more.

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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.

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• Open Universities Australia

• Computer Vision
• Data Science

• Researchers
• Professor Brian Lovell
• Professor Helen Huang
• Dr Mahsa Baktashmotlagh
• Data Quality Management
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• Information Retrieval and Web Search
• Health Intelligence

Get in touch

For more information about current Computer Vision projects and opportunities to collaborate, please get in touch.

e: Professor Brian Lovell

Multiple PhD Positions in Computer/Robotic Vision at Queensland University of Technology, Brisbane, Australia.

• Brisbane, Australia.
• Posted 7 months ago

Website Queensland University of Technology

Outstanding and motivated PhD candidates, with very good first Masters or honours degree in mathematics, computer science or science, are being sought to work as part of a research team on developing methods for solving a wide range of problems in computer vision, robotic vision and machine learning. A strong background in mathematics and some programming experience is desirable for this position. Experience in optimization, computer/robotic vision and/or machine learning is also meriting. The project is supported by the Australian Research Council and involves academic partners in both Europe and the US.

The successful candidate will work in a highly intellectual and cross-disciplinary research environment within the Robotics and Autonomous Systems (RAS) Discipline and Australia’s lead node for the $19M ARC’s Centre of Excellence in Robotic Vision. The PhD research project will complement this world class Centre and will provide an enriching research environment with discipline experts enabling a thriving intellectual environment.

QUT as a whole has one of Australia’s fastest growing research profiles and is committed to high quality, high impact research in areas of strength or emerging priority. This strategic vision is reflected in the new $250M Science and Engineering Centre which houses the multidisciplinary Institute for Future Environments and cognate centres spanning science, technology, engineering and mathematics disciplines. Designed as a collaborative “living laboratory”, the centre hosts over 400 active researchers and features state-of-the-art research facilities such as high performance computing; the Cube, one of the world’s largest digital interactive learning and display spaces. The sustained research excellence at QUT is due to a long tradition of rigorous recruitment, selection and retention of exceptional research staff.

______________________________ __

Application Instructions: For these positions, the starting date is as soon as possible. Interested candidates should a email a detailed CV and academic transcripts to: anders.eriksson@qut. edu.au For additional information see:  http://staff.qut.edu.au/ staff/erikssoa/

39 Best universities for Computer Vision in Australia

Updated: February 29, 2024

• Art & Design
• Computer Science
• Engineering
• Environmental Science
• Liberal Arts & Social Sciences
• Mathematics

Below is a list of best universities in Australia ranked based on their research performance in Computer Vision. A graph of 3.1M citations received by 124K academic papers made by 39 universities in Australia was used to calculate publications' ratings, which then were adjusted for release dates and added to final scores.

We don't distinguish between undergraduate and graduate programs nor do we adjust for current majors offered. You can find information about granted degrees on a university page but always double-check with the university website.

1. University of Sydney

For Computer Vision

2. Australian National University

3. University of New South Wales

4. University of Melbourne

5. Monash University

6. University of Queensland

7. University of Western Australia

8. Queensland University of Technology

9. University of Technology Sydney

10. University of Adelaide

11. Macquarie University

12. Swinburne University of Technology

13. Curtin University

14. University of Wollongong

15. RMIT University

16. University of Newcastle

17. Deakin University

18. Griffith University

19. University of South Australia

20. University of Tasmania

21. La Trobe University

22. University of Canberra

23. Western Sydney University

24. University of Southern Queensland

25. Victoria University

26. Flinders University

27. Edith Cowan University

28. Charles Sturt University

29. James Cook University

30. Central Queensland University

31. Murdoch University

32. University of New England, Australia

33. Federation University Australia

34. Bond University

35. Charles Darwin University

36. Southern Cross University

37. Australian Catholic University

38. University of the Sunshine Coast

39. University of Notre Dame Australia

The best cities to study Computer Vision in Australia based on the number of universities and their ranks are Sydney , Canberra , Melbourne , and Clayton .

Computer Science subfields in Australia

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14 PhD jobs in Computer Vision

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• PhD positions in Computer Science (147)

Other subfields

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• PhD positions in Artificial Intelligence (61)
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• PhD positions in Algorithms (39)

Search results (14)

PhD on Real-Time Rendering of Diffusion MRI Tractography Data

Revolutionize neuroscientific visualization with real-time cinematic tractography. Join our innovative PhD project to develop cutting-edge brain visualizations, bridging the gap between data complexity and clinical interpretation. Collaborate with...

PhD Positions in Cancer Research

Are you looking for excellent research opportunities for your PhD studies at the forefront of cancer research? The German Cancer Research Center (DKFZ) in Heidelberg invites international students holding a Master’s degree in (molecular) biology, ...

PhD Students

The CISPA Helmholtz Center for Information Security is looking for PhD Students in areas related to:Cybersecurity, Privacy and CryptographyMachine Learning and Data ScienceEfficient Algorithms and Foundations of Theoretical Computer ScienceSoftwar...

PhD Research Proposal « MMW radar and optical camera fusion architecture for mobile robot perception in poorly structured environments and adverse weather conditions. »

Supervisors, location and fundingLaboratory: Université Clermont-Auvergne, Institut Pascal (UMR 6602 CNRS/UCA/SIGMA), ISPR research group (Images, Perception Systems and Robotics).📍 Campus Universitaire des Cézeaux, 4 Avenue Blaise Pascal, 63178 A...

Opportunity for doctoral research at UTN

The University of Technology Nuremberg (UTN) offers a stimulating and interdisciplinary research environment with access to cutting-edge resources. It is the ideal place to make groundbreaking discoveries and contribute to exciting fields of resea...

PhD Thesis “3D Inspection and Measurement by Path Planning and Robotic-assisted Vision”

As Austria's largest research and technology organisation for applied research, we are dedicated to making substantial contributions to solving the major challenges of our time, climate change and digitization. To achieve our goals, we rely on our...

2024 New Year Famous Universities and Enterprises PhDs Recruitment and Cooperation Video Matchmaking Meeting

1、 Event Introduction In the Chinese New Year of 2024, Juqi Consulting collaborated with the Famous universities and enterprises club to organize global PhDs visits to well-known Chinese enterprises and universities, coordinating job recruitment a...

PhD position in Computer Science for Circular Construction

PhD position in Computer Science for Circular ConstructionThe Chair of Circular Engineering for Architecture (CEA) is seeking a highly motivated and qualified PhD candidate in the field of digital ...

Doctoral education pilot / Seven (7) Doctoral Researchers in Finnish Doctoral Program Network in Artificial Intelligence (AI-DOC)

We are seeking to recruit seven (7) Doctoral Researchers for a fixed term of three years to the Doctoral Education Pilot for the Finnish Doctoral Program Network in Artificial Intelligence (AI-DOC)...

New Call for GSSI PhD Applications 2024/25

Gran Sasso Science Institute has published the new call for the 40th cycle of the PhD. 42 scholarships are available (one more than last year), for the four academic programmes: 10 for Astroparticle Physics, 10 for Computer Science and 10 for Regi...

PhD student position in Computer Vision

The Department of Ancient Civilizations of the University of Basel invites applications for one PhD student position (100%) in Computer Vision for 3 years on the topic of offline to online conversi...

Fully granted PhD positions in Digital Science / Digital Society at Université Côte d’Azur - France

Digital Systems for Humans (DS4H) is a Graduate School and a pluridisciplinary research coordination structure focused on scientific, technological and human issues of the digital world and the digital society. It is part of Université Côte d’Azur...

Doctoral Researcher (Spatial Acoustic Scene Analysis and Machine Listening)

Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational, and high-impact research and education. Our universities community has its competitive edges in technology, health, and...

Doctoral researcher (PhD candidate) in Computer Science

The University | About us...The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 a...

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• Box makes it easy for users to collaborate and securely manage files and content, including 3D objects, allowing them to intuitively bring this content into the world around them.

Design and Collaboration

• Lowe’s Style Studio leverages the unique capabilities of spatial computing to help customers visualize and design their dream kitchen, making home improvement easier than ever.
• JigSpace brings intuitive, hands-on inspection and effortless collaboration to help users communicate complex ideas, products, and processes with spatial context.
• EnBW (Energie Baden-Württemberg AG) enables visualization of renewable energy infrastructure projects, allowing collaborators to see and assess designs of vehicle charging stations, wind turbines, and solar farms.

Training and Simulation

• Taqtile Manifest makes digital work instructions actionable with a simple glance or hand gesture.
• PTC’s Onshape Vision app  transforms the way product designers and engineers view, interact with, and collaborate on complex 3D models.

Guided Work

• TeamViewer Spatial Support enables remote experts and service technicians on the ground to troubleshoot repair and maintenance processes with unparalleled fidelity, enabling faster response and reduced downtime.
• BILT supports 3D interactive instructions with voice, text, and animated guidance for thousands of products to enable a wide range of workflows.

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April 9, 2024

Incredible new enterprise experiences leverage spatial computing to customize workspaces, collaborate on 3D designs, deliver specialized employee training, and guide remote fieldwork in entirely new ways

For decades, Apple has worked to provide innovative products and services for businesses. Today, Apple products are used by all of the Fortune 500 companies in every industry around the world — iPhone and iPad are indispensable for businesses of all sizes, and Mac is preferred by employees when given the choice at work. Apple’s unique combination of hardware, software, services, and built-in support for IT makes it incredibly easy to manage and secure devices at scale. With the introduction of Apple Vision Pro , spatial computing enables enterprises to build experiences that previously were not possible.

“There’s tremendous opportunity for businesses to reimagine what’s possible using Apple Vision Pro at work,” said Susan Prescott, Apple’s vice president of Worldwide Developer Relations and Enterprise Marketing. “We’re thrilled to see the innovative ways organizations are already using Apple Vision Pro, from planning fire response operations to iterating on the most intricate details of an engine design — and this is just the beginning. Combined with enterprise-grade capabilities like mobile device management built into visionOS, we believe spatial computing has the potential to revolutionize industries around the world.”

With visionOS built on the foundation of decades of engineering innovation in macOS, iOS, and iPadOS, enterprise developers can create powerful spatial experiences controlled by the most natural and intuitive inputs possible — a user’s eyes, hands, and voice. The breakthrough design of Apple Vision Pro features an ultra-high-resolution display system and custom Apple silicon in a unique dual-chip design to deliver experiences in real time. Vision Pro uses a wide range of advanced machine learning and AI models to enable foundational capabilities such as hand tracking, room mapping, Personas, and more. All of this is accelerated by the Neural Engine in the M2 chip, which ensures spatial computing is the most powerful way for a business to leverage AI.

Developers have been building apps for Apple Vision Pro across numerous enterprise categories, from business productivity and product design, to immersive training and guided work.

Spatial computing blends digital content with the physical world, providing an infinite canvas that enables businesses to reinvent workspaces and enhance everyday productivity. With visionOS, apps are freed from the boundaries of a display, so they can appear side by side at any scale. With support for Magic Keyboard and Magic Trackpad, users can set up the perfect workspace and bring the powerful capabilities of their Mac into Apple Vision Pro wirelessly, creating an enormous, private, and portable 4K display with incredibly crisp text. The most-loved productivity apps for business are now available on Vision Pro.

SAP Analytics Cloud helps streamline the process of gathering, integrating, analyzing, and presenting data-driven insights to enhance business decision-making. On Apple Vision Pro, the app enables employees and executives to immediately access their data dashboard and arrange their most critical business workflows, apps, and cards beautifully in their space. They can also drill down into the data with contextual 3D maps and graphics to gain new insights. With the latest SDK release for developers , the SAP Business Technology Platform fully supports Apple Vision Pro. Customers and partners can now deploy their SAP apps to Vision Pro, alongside iPhone, iPad, and Apple Watch.

“Apple Vision Pro is a revolutionary device, and we are thrilled to leverage the capabilities of spatial computing with SAP Analytics Cloud and SAP Mobile Start,” said Philipp Herzig, chief AI officer, SAP SE. “Going forward, we see the power of visionOS combined with generative AI being a force multiplier for enterprises. SAP Analytics Cloud running on Apple Vision Pro will help our customers discover all-new insights from complex data with powerful and intuitive processes that supercharge their business planning. And with SAP Mobile Start, we provide access to all of SAP’s business applications and workflows in unimaginable ways.”

Microsoft 365 productivity apps and AI companion Copilot built for Apple Vision Pro can help users get more done in powerful new ways. Focus mode in Word allows users to write without distraction; graph, manipulate, and visualize data in sharp, crisp detail in Excel; and immerse themselves in a slideshow with PowerPoint. Switching between meetings, chats, and shared content is easy in Teams — along with accessing the assistance of Copilot — with life-size windows that can be arranged in the user’s space.

“Spatial computing has enabled us to rethink how professionals can be productive and work intelligently with the power of AI,” said Nicole Herskowitz, vice president, Microsoft 365 and Teams. “With Microsoft 365 and Teams on Apple Vision Pro, your office moves with you, allowing users to view apps side by side on an infinite canvas with spatial computing for incredible multitasking and collaboration.”

Additional apps in business productivity include:

The display system on Apple Vision Pro packs 23 million pixels across two displays — or more than 4K resolution for each eye — which makes videos, images, and documents crystal clear from any angle. With crisp visualization of 3D content, spatial computing opens up opportunities for product design, retail planning, and construction modeling, and enables new experiences for customers to engage with products and services.

The Porsche Race Engineer app provides an entirely new way for the Porsche team to collaborate. Race engineers are constantly making real-time decisions about everything from the performance of the car to the driver’s vitals. Apple Vision Pro helps engineers visualize car data in real time, bringing critical metrics like speed and braking alongside track conditions and car positioning, combined with live video from the car’s dashboard. In February, Porsche broke the U.S. record for electric vehicles at Laguna Seca with the new Porsche Taycan Turbo GT, while the engineers tracked along using Vision Pro. This can also expand track experiences for fans around the world.

“At Porsche, we’ve always been driven by dreams, and Apple Vision Pro has enabled us to reimagine track experiences,” said Oliver Blume, Porsche’s CEO. “The new Porsche Taycan Turbo GT is the ultimate all-electric performance car, and, fittingly, we were thrilled to bring the best of German engineering and Apple’s inspiring product innovation together with the Race Engineer app. This is the perfect example of our team delivering on our goal to bring the best user experience to our employees and customers.”

Design and manufacturing processes are complex and involve large amounts of data from various sources. NVIDIA Omniverse Cloud APIs let developers stream massive 3D engineering and simulation data sets from the cloud to Apple Vision Pro. The high-resolution displays and powerful sensors built into Vision Pro enable developers and designers to create detailed, immersive renderings and visuals that can be viewed and manipulated in real time.

“The world’s industries are racing to build digital twins of products, facilities, and processes to better test and optimize designs well before constructing them in the physical world,” said Rev Lebaredian, NVIDIA’s vice president of Omniverse and Simulation Technology. “Enterprises can now combine the power and capabilities of Apple Vision Pro and the physically accurate renderings of OpenUSD content with NVIDIA accelerated computing to power the next generation of immersive digital experiences.”

Additional apps in design and collaboration include:

From preparing technicians to install equipment, to teaching complex tasks requiring hundreds of hours of hands-on work, making training procedures more interactive and impactful is critical to employee success. When it comes to aircraft maintenance, taking a plane offline for training can be costly and cause delays throughout the system. KLM Royal Dutch Airlines will dramatically improve technical maintenance and airline operations with spatial computing on Apple Vision Pro. The Engine Shop app enables technicians to train on the latest engine models in full fidelity in their own space. With this app, a technician can instantly see the entire task they need to perform step by step, with detailed repair instructions overlayed on a 3D model of the exact engine. This reduces errors and increases employee job satisfaction while saving valuable time and ultimately speeding up plane turnaround times.

“We see Apple Vision Pro as a tremendous value-add that will improve our fleet availability and operations,” said Bob Tulleken, KLM’s vice president of Operations Decision Support. “Training our employees with spatial computing will lead to fewer costly errors because the most current information they need to do their job is there in front of them as they perform the task. This means we not only get vastly more efficient in our work, but also provide a better work environment for our employees to succeed.”

Additional apps in training and simulation include:

Guided work requires the context of a person’s surroundings, such as a utility service technician who needs access to work orders or schematics.  Resolve  has reimagined how building engineers can plan for and access information they need to make decisions about systems behind walls, including HVAC, plumbing, electrical, and fire sprinkler lines. Rather than use static paper plans, users can review high-detail plans and 3D models on Apple Vision Pro, enabling architects, builders, and maintenance workers to see, fix, and comment, enhancing the entire life cycle of a construction project.

In emergency response scenarios, incident management software combines real-time and historical information with geospatial data to help first responders manage their people and fleet resources. The FireOps app, developed by About Objects and DigitalCM, marks a turning point in emergency response management. FireOps leverages the infinite canvas with visionOS to provide a unified operational view of incident action plans, dramatically streamlining over a dozen procedures. This enhances coordination and decision-making among all participants, and ensures that first responders are more connected, informed, and prepared than ever before.

Additional apps in guided work include:

Apple offers developers a variety of resources, including powerful APIs, rich documentation, global developer labs, Develop in Swift Tutorials , and the visionOS simulator to help companies bring game-changing Apple Vision Pro experiences to life. To further support developers, today Apple is announcing the Enterprise Spatial Design Lab, providing hands-on support from Apple to help enterprises bring apps from concept to reality. The immersive sessions will be available beginning this summer at developer.apple.com . In addition, Deloitte announced today it is expanding its Apple practice to include a new Academy for Apple Vision Pro . The practice includes more than 100 practitioners trained to deliver visionOS solutions to clients, with a series of one-week, instructor-led courses to help engineers, product managers, and business leaders prepare for the new era of spatial computing.

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