research computer vision intern

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Microsoft Corporation

Research intern – computer vision.

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Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

If you are interested in cutting edge machine learning (ML), video and graphics and want to make the experiences of millions of personal computer (PC) users and developers more productive and enjoyable, please join us at Microsoft Applied Sciences Group.

We are working all ways ML and artificial intelligence (AI) can improve Windows user experience: capture better videos, enable augmented reality (AR) features for tele-conferencing and understand user’s gestures and environments. Are you itching to play a part in bringing applications of computer vision to millions?

Responsibilities

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

We are looking for a computer vision Research Intern with experience in deep learning techniques to help our devices compute better understanding of the user and the environment. The ability to analyze multimodal sensor data and interpret various human and human-object interactions is key to Applied Sciences’ mission of enabling a seamless set of human computer interactions. As part of this team, you will be working with a growing team of talented researchers already dedicated to this mission and use data and hardware only available to a select few. Naturally, the opportunity for you to push the state of the art in this field is huge.

Qualifications

Required Qualifications

• Currently enrolled in a PhD or master’s program in computer vision or closely related fields.

Other Requirements

• Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
• In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Preferred Qualifications

• Demonstrated publication record in top-tier vision or ML conferences (CVPR, NeurIPS, ICML, ICCV, ECCV, AAAI, IJCAI, 3DV) and journals (IEEE/ACM Transactions, IJCV).
• Comprehensive Deep Learning, algorithmic and software engineering background.
• Experience in Low Level Vision.

The base pay range for this internship is – Applied Sciences IC2 : USD $5,090 -$10,120 per month. There is a different range applicable to specific work locations, with the San Francisco Bay area and New York City Metropolitan area, and the base pay range for this role in those locations is USD $6,690 -$11,030 per month.

The base pay range for this internship is- Applied Sciences IC3 : USD $6,290 -$12,170 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,060 – $13, 240 per month.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay ( https://careers.microsoft.com/v2/global/en/us-intern-pay.html )

Microsoft accepts applications and processes offers for these roles on an ongoing basis.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( https://careers.microsoft.com/v2/global/en/accessibility.html ) .

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Microsoft Corporation

Research intern – computer vision.

• Share This: Share Research Intern – Computer Vision on Facebook Share Research Intern – Computer Vision on LinkedIn Share Research Intern – Computer Vision on X

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

If you are interested in cutting edge machine learning (ML), video and graphics and want to make the experiences of millions of personal computer (PC) users and developers more productive and enjoyable, please join us at Microsoft Applied Sciences Group.

We are working all ways ML and artificial intelligence (AI) can improve Windows user experience: capture better videos, enable augmented reality (AR) features for tele-conferencing and understand user’s gestures and environments. Are you itching to play a part in bringing applications of computer vision to millions?

Responsibilities

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

We are looking for a computer vision Research Intern with experience in deep learning techniques to help our devices compute better understanding of the user and the environment. The ability to analyze multimodal sensor data and interpret various human and human-object interactions is key to Applied Sciences’ mission of enabling a seamless set of human computer interactions. As part of this team, you will be working with a growing team of talented researchers already dedicated to this mission and use data and hardware only available to a select few. Naturally, the opportunity for you to push the state of the art in this field is huge.

Qualifications

Required Qualifications

• Currently enrolled in a PhD or master’s program in computer vision or closely related fields.

Other Requirements

Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.

In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Preferred Qualifications

Demonstrated publication record in top-tier vision or ML conferences (CVPR, NeurIPS, ICML, ICCV, ECCV, AAAI, IJCAI, 3DV) and journals (IEEE/ACM Transactions, IJCV).

Comprehensive Deep Learning, algorithmic and software engineering background.

Experience in Low Level Vision.

The base pay range for this internship is – Applied Sciences IC2 : USD $5,090 -$10,120 per month. There is a different range applicable to specific work locations, with the San Francisco Bay area and New York City Metropolitan area, and the base pay range for this role in those locations is USD $6,690 -$11,030 per month.

The base pay range for this internship is- Applied Sciences IC3 : USD $6,290 -$12,170 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,060 – $13, 240 per month.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay ( https://careers.microsoft.com/v2/global/en/us-intern-pay.html )

Microsoft accepts applications and processes offers for these roles on an ongoing basis.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( https://careers.microsoft.com/v2/global/en/accessibility.html ) .

Help advance the future of computer science

Our teams are innovating at the cutting edge of their fields in order to tackle challenges and build products that impact billions of people every day.

Our mission and philosophy

The research conducted at google has broadened dramatically, becoming more important to our mission than ever before..

We aim to create a research environment rich in opportunities for product impact, to build a product environment that actively benefits from research, and to provide our staff the freedom to work on important research problems that go beyond immediate product needs.

Explore our locations

Offices around the world.

From Accra to Zürich, to our home base in Mountain View and beyond, we’re looking for talented, creative computer scientists to drive our work forward.

North America

Our teams in Atlanta focus on theoretical and application aspects of computer science with a strong focus on machine learning and the algorithmic foundations and theoretical underpinnings of deep learning, with applications to natural language understanding, machine perception, robotics, and ubiquitous computing and sensing.

Our teams in Cambridge work closely with academics at local universities as well as collaborators at local institutes with a goal to impact both Google’s products and general scientific progress. We accomplish this by releasing open source tools, publishing our work and sharing our findings with the academic community.

More boardshorts than boardroom, high tech meets high tide at Google L.A. Our engineers work on such high-impact products as Ads, Chrome, and YouTube, while our sales teams push the limits of digital advertising for top-tier clients. Take advantage of our picture-perfect SoCal weather by hitting the rock wall and elevate team strategy sessions with a game of oversized chess on the roof deck. In-house coffee and juice bars provide pick-me-ups, and beach breaks double as brainstorm sessions when you borrow one of our 4-seat surrey bikes, beach cruisers, or surfboards and head to the boardwalk.

Google Research in Montreal performs both open-ended and applied research, in numerous areas including reinforcement learning, meta-learning, optimization, program synthesis, generative modeling, machine translation, and more. We also support the local academic community and have several academic collaborations, including with Mila – Quebec Artificial Intelligence Institute.

Our headquarters has come a long way from its humble roots in a Menlo Park garage, but our innovative Silicon Valley spirit is stronger than ever. On our largest campus, we work on cutting-edge products that are changing the way billions of people use technology. Onsite benefits like fitness and wellness centers embody our philosophy that taking care of Googlers is good for all of us. Build team skills with a group cooking class or coffee tasting, ride a gBike to one of our cafés, or work up a sweat in a group class. Here at the Googleplex, we’re looking for innovators, collaborators, and blue-sky thinkers. We’re looking for you.

We work in close collaboration with academia, with a goal to impact both Google’s products and general scientific progress. We accomplish this in two ways: by releasing software libraries, a way to build research findings into products and services, and through publishing our work and sharing our findings with the academic community.

Our team in Pittsburgh conducts research in natural language processing, machine learning, image and video understanding, and optimization, and our impacts range from academic paper publications to software systems used throughout Google. We collaborate closely with research and applied groups in many areas, and also work closely with Carnegie Mellon University and other organizations in the extremely strong computer science community in Pittsburgh.

As our company headquarters, Mountain View and the surrounding offices in Sunnyvale, San Francisco, and San Bruno are home to many of our world-class research teams and the innovative projects they work on.

Our research teams in Seattle and Kirkland work on a wide range of disciplines — from quantum computing to applied science to federated learning and health. In doing the above, and more, a large focus of our work also focuses on advancing the state of the art in machine learning.

Nestled between the Santa Cruz Mountains and the San Francisco Bay, with San Jose to the south, San Francisco to the north, and NASA right next door, you’ll find one of Google’s largest and newest global campuses in Sunnyvale. Here in the heart of the original Silicon Valley innovation is happening everywhere—from our Cloud team developing exciting new products and services, to moving into our latest office spaces which include interconnected building projects, the creation of green spaces connecting campuses with the community, and the creative restoration of local habitats. We love growing in Sunnyvale—and you will too.

We develop novel neural network architectures and learning algorithms, with applications to computer vision, natural language and speech processing, medical image analysis, and computer architecture and software.

Europe, Middle East, and Africa

Google Research teams in Accra collaborate with global research teams to lead many sustainability initiatives of particular interest to Africa. We implement theoretical and applied artificial intelligence with a strong focus on machine learning and algorithmic foundations to tackle some global challenges, such as food security, disaster management, remote sensing, among others.

Researchers in our Amsterdam office push the boundaries of what is possible in many domains, including natural language understanding, computer vision and audio, reinforcement learning and machine learning for the natural sciences.

In Berlin, our teams work on a range of topics from foundational to more applied and involve data comprised of text, images, video, audio and more. We are engaging and collaborating closely with Berlin’s vibrant academic and startup communities.

We work on machine learning, natural language understanding and machine perception, from foundational research to AI innovations, in search, healthcare, and crisis response.

We work on natural language understanding and conversational dialog, text-to-speech, (on-device) machine learning, human-centered AI research and user research as well as healthcare.

We work on problems in quantum computing as well as speech and language processing, and collaborate closely with Google’s product teams across the world.

We tackle big challenges across several fields at the intersection of computer science, statistics and applied mathematics while collaborating closely with a strong academic community.

We solve big challenges in computer science, with a focus on machine learning, natural language understanding, machine perception, algorithms and data compression.

Asia-Pacific

Google Research Australia aims to advance the state-of-the-art in machine learning, in areas such as Fundamental Machine Learning, Natural Language Understanding, and Systems Programming. We aim to apply our research in ways that benefit Australia, Google and global society.

We are interested in advancing the state of the art and applications in areas like Machine Learning, Natural Language Understanding, Computer Vision, Software Engineering and Multi-agent Systems.

We are interested in advancing the state of the art and applications in areas like machine learning, speech, and natural language processing.

Meet the teams driving innovation

Our teams advance the state of the art through research, systems engineering, and collaboration across Google.

Our impact reaches billions

Google Research tackles challenges that define the technology of today and tomorrow.

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Find your research career at Google

Our researchers are embedded in teams across computer science, to discover, invent, and build at the largest scale.

Our research-focused software engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly.

Work across data mining, natural language processing, hardware and software performance analysis, improving compilation techniques for mobile platforms, core search, and much more.

Internships take place throughout the year, and we encourage students from a range of disciplines, including CS, Electrical Engineering, Mathematics, and Physics to apply to work with us.

Collaboration is essential for progress

We’re proud to work with academic and research institutions that push the boundaries of AI and computer science.

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Anthropic, Google, Microsoft and OpenAI are launching the Frontier Model Forum, an industry body focused on ensuring safe and responsible development of frontier AI models.

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Internships at NVIDIA Research

Research areas for graduate students.

NVIDIA Research is developing technologies to improve the efficiency and programmability of future GPUs, as well as increase their applicability to a wider range of applications. We are seeking outstanding graduate students for intern positions in the areas of:

• Computer architecture
• Programming systems
• Computer graphics
• Display technology
• Computational photography
• Computer vision
• Machine learning

Research Topics

Possible research topic areas include, but are not limited to:

• ML algorithms
• Large-scale learning
• Parallel systems
• Programming languages
• Energy-efficient architectures
• Mobile computer architectures
• Interconnection networks
• Design automation
• Memory systems
• Architectures for computer vision and machine learning
• Low-power circuits

Work on Groundbreaking Projects

NVIDIA Research also works to advance the frontiers of:

• Visual computing
• including Algorithms and architectures for real-time rendering
• Virtual and augmented reality
• Light transport
• Computational sensing
• Human-computer interfaces

Dissertation Integration

Past summer internships have resulted in publishable research and work applicable to student doctoral dissertations.

Competitive candidates will have a track record of research excellence, a strong recommendation from a research supervisor, excellent programming skills, and the ability to work in a team environment. 

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Empowering technologies for real-world vision-based systems

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Ideas that matter

You’ll get real world experience developing innovative solutions at a global leader in the mobile revolution! Samsung internships enhance your academic goals by providing the opportunity to gain hands-on experience and apply learned theory on real commercial projects at the forefront of technology.

We are making an impact on a wide variety of products under Samsung’s portfolio. With our close-knit teams, Interns are able to make contributions that have a global impact. The support of world-class managers will empower you to be bold and grow with us.

Our program is designed for professional development and personal growth. We host a number of opportunities for interns to get involved in the community and stay connected with peers. We believe in balance and create time for fun throughout your internship experience.

Interns have access to medical, vision and dental insurance. Additionally, we provide various other employee benefits like: onsite fitness center, subsidized meals, automated coffee bar, student loan refinancing and virtual + onsite fitness programs.

Competitive packages

In addition to industry competitive compensation packages, our Interns are provided with a housing stipend and relocation assistance.

Intern Spotlight

“I’ve been with the Think Tank Team for 6 months. It’s been an awesome experience, with the ability to work on a range of future projects as well as having the freedom to propose my own. Day-to-day work is highly explorative and has enabled me to expand my skillset across a number of disciplines including manufacture, design, programming, animation and more. I'm excited to continue contributing and growing at TTT!”

Mechanical Design Engineer Intern

“My internship with Neon at Samsung Research America was a great experience. Everyone was extremely welcoming and over the six months I was an intern I worked on a wide variety of things and learned so much. I couldn’t have been more excited to accept a full time offer with the team and continue working with them!”

Software Engineering Intern

“My internship with NEON was an experience of a lifetime. I got to work creating Artificial Humans and combine my expertise in Computer Vision with other domains to enrich the current state-of-the-art methods. I enjoyed the creative, collaborative, and open-minded atmosphere in the lab, in which you can discuss ideas with all team members. Excitingly, such discussions resulted in new product features. I am incredibly grateful for my experience; as I deepened my knowledge of cutting-edge AI technologies, met world-class professionals, enhanced my problem-solving skills, and had a great time.”

Research Scientist Intern

Computer Vision Intern

Verus Research is searching for a  Computer Vision Intern  to assist with the development of computer vision algorithms that extract information from both synthetic and real-world data sources. This potentially includes both offline and online data processing to identify features and estimate states of objects in the scene as well as scene reconstruction. This posting is for work in Albuquerque, NM and is intended to be a summer 2024 appointment only. Verus Research is prepared to pay for round-trip travel to and from Albuquerque and lodging expenses during your time in Albuquerque. Transportation needed through the duration of the internship, but Not Provided.

The  Computer Vision Intern  will work on a team comprising industry and government technical personnel under the supervision of senior engineering staff. In addition, the Computer Vision Intern will possess the following:

• U.S. citizenship
• Currently pursuing a degree in computer science, electrical engineering, mechanical engineering, aerospace engineering, applied physics, biomedical engineer, or other relevant academic discipline
• Completion of at least one course in Computer Vision
• Familiarity with general computer vision topics that might include: object detection, object tracking, key point detection, image segmentation, and neural-network-based classifiers
• Experience with Python or C++

Job Types: Internship, Full-time

Salary: $23.00 – $28.00 per hour

• 8 hour shift
• Monday to Friday

Work Location: In person

To access the machine-readable files created and published by UnitedHealthcare, please click here.

Job Opening: Research Intern - Computer Vision

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

If you are interested in cutting edge machine learning (ML), video and graphics and want to make the experiences of millions of personal computer (PC) users and developers more productive and enjoyable, please join us at Microsoft Applied Sciences Group.

We are working all ways ML and artificial intelligence (AI) can improve Windows user experience: capture better videos, enable augmented reality (AR) features for tele-conferencing and understand user’s gestures and environments. Are you itching to play a part in bringing applications of computer vision to millions?

Responsibilities

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

We are looking for a computer vision Research Intern with experience in deep learning techniques to help our devices compute better understanding of the user and the environment. The ability to analyze multimodal sensor data and interpret various human and human-object interactions is key to Applied Sciences’ mission of enabling a seamless set of human computer interactions. As part of this team, you will be working with a growing team of talented researchers already dedicated to this mission and use data and hardware only available to a select few. Naturally, the opportunity for you to push the state of the art in this field is huge.

Qualifications

Required Qualifications

• Currently enrolled in a PhD or master's program in computer vision or closely related fields.

Other Requirements

Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.

In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Preferred Qualifications

Demonstrated publication record in top-tier vision or ML conferences (CVPR, NeurIPS, ICML, ICCV, ECCV, AAAI, IJCAI, 3DV) and journals (IEEE/ACM Transactions, IJCV).

Comprehensive Deep Learning, algorithmic and software engineering background.

Experience in Low Level Vision.

The base pay range for this internship is - Applied Sciences IC2 : USD $5,090 -$10,120 per month. There is a different range applicable to specific work locations, with the San Francisco Bay area and New York City Metropolitan area, and the base pay range for this role in those locations is USD $6,690 -$11,030 per month.

The base pay range for this internship is- Applied Sciences IC3 : USD $6,290 -$12,170 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,060 - $13, 240 per month.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay (https://careers.microsoft.com/v2/global/en/us-intern-pay.html)

Microsoft accepts applications and processes offers for these roles on an ongoing basis.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .

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Internships, speech recognition intern, speech generation intern, software development intern, computer vision intern, thank you for your interest. there are no open positions at the moment, kindly keep an eye out for future opportunities., r&d lab head, full time positions, head of data science.

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Senior Research Scientist - Machine Learning

Research scientist - machine learning, intern stories.

Sonal Dabral

"It has been wonderful experience interning at Sony Research India. The most exciting part was being able to work on real-world projects using deep learning models to solve research problems. I got the opportunity to interact with professionals who shared constructive insights, that enhanced my skills. I was able to understand the importance of starting from the basics to achieve the desired results which includes learning, researching and step by step implementation."

Hiran Sarkar

"Within just a few months of my work at Sony Research India, not only have I been able to grasp an entire field of research, but write and publish a paper on it. This achievement has only been possible with the immense support and guidance of my mentors and colleagues here at Sony. I've had the opportunity to work alongside and learn from some the brightest professionals in the industry, and this experience has contributed the most to shaping my work ethic. I've had the most productive few months and where my learnings have grown immensely. The guidance and flexibility to choose my areas of research, make the working environment outstanding."

Shivam Mhaskar

"The internship at Sony Research India was truly exceptional, offering a great learning opportunity. I had the opportunity to engage with cutting-edge technologies, including large language models, thereby enhancing and refining my skill set. The work culture at Sony Research India fosters innovative thinking and encourages individuals to freely explore their ideas. The supportive mentorship I received from my mentors at Sony Research India was invaluable, providing me with insights and knowledge that significantly contributed to my growth. In summary, my time as an intern at Sony Research India was not only enjoyable but also immensely beneficial to my professional development."

OUR COMMUNITY'S LOVE FOR US

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At college of communication & information, computer vision specialist (ai) @ uf libraries.

The George A. Smathers Libraries seek a creative, collaborative, and service-oriented candidate to enhance computer vision research services to strategically increase support of the university’s AI initiative ( https://ai.ufl.edu/ ) and to further the Libraries’ commitment to “AI for everyone.” In conjunction and close collaboration with the Natural Language Processing Specialist and other personnel from across the libraries, this position provides leadership to the Libraries’ efforts to build foundational AI services for all UF students, faculty, and staff interested in incorporating AI technology and techniques in their discipline-specific teaching and research.

The Computer Vision Specialist is a year-round (12 month) tenure-track faculty position with primary responsibilities in instruction, consultation, and project work in computer vision and other areas relevant to artificial intelligence and data science. The position works with library colleagues, researchers, and educators from throughout the University of Florida community to create, identify, and evaluate learning resources and services in the areas of computer vision; works with students and researchers at all stages of their careers to advise and consult on effective use of related tools and methodologies; advocates for the role of the Smathers Libraries in supporting related education and research; and builds effective, inclusive collaborations across the campus community. As a member of the Academic Research Consulting and Services (ARCS) department, the Computer Vision Specialist synergizes with existing ARCS specialists who provide expertise in natural language processing, data science and statistical analysis, data management, reproducibility, systematic reviews, scholarly communication, research impact, and related areas ( http://arcs.uflib.ufl.edu/ ). The Computer Vision Specialist will pursue professional development opportunities, including research, publication, and professional service activities to meet criteria for tenure and promotion.

The search will remain open until May 10, 2024, and applications will be reviewed as received. For a full description of the position and instructions on how to apply, please refer to the George A. Smathers Libraries faculty recruitment webpage at https://hr.uflib.ufl.edu/prospective-employees/current-openings/vacant-faculty-positions/ .

The University of Florida is an equal employment employer and is committed to non-discrimination with respect to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. As an equal opportunity employer, we believe in fostering environments where team members feel included, valued for their differences, and empowered to do their best work.

Address inquiries to Lily Lewis, Smathers Libraries Human Resources Office, at: [email protected] .

$68,182 minimum salary at the Assistant University Librarian rank

$78,861 minimum salary at the Associate University Librarian rank

The Smathers Libraries offer a salary commensurate with experience and credentials

The University of Florida offers a competitive benefits package including health, retirement, paid time off, discount programs, professional development and worklife support . Learn more .

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