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Postdoctoral Position at King's College London
by Abdul Rahman, Alfie 19 Oct '21

19 Oct '21

Dear All, We invite applications for a Postdoctoral position at King’s College London with a starting date of 1 April 2022. Job advertisement below. Best regards, Alfie -- Dr Alfie Abdul-Rahman Lecturer in Computer Science Department of Informatics King’s College London - Strand Campus Bush House, 30 Aldwych, London WC2B 4BG Office: Bush House (S) 5.05 Email: alfie.abdulrahman(a)kcl.ac.uk<mailto:alfie.abdulrahman@kcl.ac.uk> Phone: I am currently working remotely and will not be able to make or receive calls -- Job advert: https://jobs.kcl.ac.uk/gb/en/job/033966/Research-Associate Closing date: 7 Nov 2021 Job description This is a 2-year research post at the post-doctoral level. The successful candidates will contribute to “Narrating Complexity: Exploring Multi-Actor Timelines”, a collaborative project between King’s College London and the University of Oxford, funded by EPSRC. Project overview: “Narrating Complexity” is a multi-disciplinary project, with the ambitious goal of advancing the state-of-the-art in static and interactive displays of multi-actor timelines – that is datasets where a long series of individual events are captured, involving many separate actors interacting across time. This project will address the technical challenges involved in the formal definition of such timelines, drawing on two separate datasets to capture the underlying similarities between them – one taken from social media such as Twitter and Facebook – and the other from formal decision-making processes involving negotiation, for example, legislative assemblies (as described in the Quill Platform https://www.quillproject.net/) This project is conducted in collaboration with the Quill Project at the University of Oxford. The Quill Project, which provides use cases for the project such as the formal discussions of a legislative setting (for example, the European Union Withdrawal Acts (Brexit legislation)). The candidate will be responsible for conducting research around data visualization to aid in the understanding and presenting time-sequence data, particularly data consisting of many actors interacting over a long period. Tasks will involve structuring a design space, designing visualizations, developing compression and filtering algorithms of timelines, developing a framework and software for human-in-the-loop interactive visual analytics that will improve comprehension, analysis, and story-presentation of the information captured both from social media and data sets derived from formal decision-making processes. The candidate will collaborate with other RAs working on the project and may be involved in the co-supervision of Ph.D. and Master's students. The post holder will work closely with Dr Alfie Abdul-Rahman at the Department of Informatics, King’s College London, and project partner at the University of Oxford. This post will be offered on a fixed-term contract for 24 months This is a full-time post - 100% full time equivalent

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Faculty openings at Georgia Tech
by John Stasko 11 Oct '21

11 Oct '21

The School of Interactive Computing at Georgia Tech is seeking, among other areas, a new faculty member specializing in Data Visualization or Visual Analytics. More specifically, our School's job ad for this year (see below) states, "We seek applications in the broader areas of Human Computer Interaction (HCI) and Artificial Intelligence (AI), including their intersections, and with an emphasis in Data and Information Visualization, Social Computing, Privacy, and theoretical/applied Machine Learning." Data visualization research here at GT is well-established. Our Visualization Group currently includes four faculty members, and we teach multiple vis-focused courses at both the undergraduate and graduate levels. More details about our group can be found at https://vis.gatech.edu. To learn more about the faculty openings and how to apply, please visit the web page https://ic.gatech.edu/about/faculty-hiring. Preference will be given to applications submitted before Dec. 1, 2021, but we encourage candidates to apply earlier.

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Assistant professorship in Visual Analytics at the University of Amsterdam
by Marcel Worring 07 Oct '21

07 Oct '21

The Multimedia Analytics group at the University of Amsterdam has a vacancy for an Assistant Professor in Visual Analytics. Are you the AI / Visual Analytics researcher that can give a boost to multimedia analytics? Can you bring together information visualization and algorithms which can explain their decisions while learning from the user interacting with the collection? And are you eager to teach such concepts to bachelor and master students? If the answer to those questions is yes, you should consider this 50% research / 50% teaching, Assistant Professor position in the MultiX (multimedia analytics) group of the Informatics Institute. The MultiX group is a vibrant research group, where fundamental research in multimedia analytics is performed with applications in health, forensics and law enforcement, cultural heritage, urban livability, and social media analysis. The MultiX group is also active in the national Innovation Centre for Artificial Intelligence (ICAI). For more information and to apply see https://www.uva.nl/en/content/vacancies/2021/10/21-791-assistant-professor-… [https://www.uva.nl/binaries/_ht_1535098009477/pagebanner/content/gallery/fa…]<https://www.uva.nl/en/content/vacancies/2021/10/21-791-assistant-professor-…> Assistant Professor of Visual Analytics<https://www.uva.nl/en/content/vacancies/2021/10/21-791-assistant-professor-…> Assistant Professor of Visual Analytics www.uva.nl

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3 PhD Research Positions in Computer Science at VISUS, University of Stuttgart
by Kuno Kurzhals 07 Oct '21

07 Oct '21

We are currently looking to fill 3 PhD positions at the Visualization Research Center at the University of Stuttgart (VISUS), Germany: PhD Research Position in Computer Science (f/m/d) (German Federal pay scale TV-L 13, full-time, temporary) Earliest starting date is Nov 1, 2021, or by agreement. All positions are in the field of Visualization and Human-Computer Interaction. The topics are: ---------------------------------------------------------- Topic 1: Eye Tracking for Architectural Design and Construction ---------------------------------------------------------- This position will be supervised by Dr. Kuno Kurzhals, and is associated with the cluster of excellence "Integrative Computational Design and Construction for Architecture (IntCDC)": https://www.intcdc.uni-stuttgart.de/. ---------------------------------------------------------- Topic 2: Visual Analytics for Machine Learning Operations (MLOps) ---------------------------------------------------------- This position will be supervised by Prof. Dr. Michael Sedlmair, and will be part of collaborative project with the Software Engineering group, led by Prof. Dr. Stefan Wagner. ---------------------------------------------------------- Topic 3: Interactive Visualization (Open Topic) ---------------------------------------------------------- This position will be supervised by Prof. Dr. Daniel Weiskopf. The topic will be from the broader field of interactive visualization, and it will be chosen in coordination with the successful applicant. Topics could include empirical visualization research (e.g. controlled studies, psychophysical experiments), integration of ML and interactive visualization, data-driven storytelling, graph visualization, flow visualization, etc., but are not restricted to these. --- Your Responsibilities * Research in one of the topics listed above * Writing and publishing research results * Supervising student projects Your Competences * Strong written and oral communication skills in English * Excellent MSc degree in computer science or a related field * Experience in one or more of the following fields: human-computer interaction, visualization, eye tracking, machine learning, or empirical studies * Excellent programming skills for research prototyping, strong motivation, and teamwork ability We Offer * An interdisciplinary team to work in with numerous collaboration opportunities * A professional workplace with state of the art technologies to conduct research * A structured doctoral qualification program How to apply Questions can be directed to Dr. Kuno Kurzhals (Kuno.Kurzhals(a)visus.uni-stuttgart.de) Prof. Dr. Michael Sedlmair (michael.sedlmair(a)visus.uni-stuttgart.de) or Prof. Dr. Daniel Weiskopf (weiskopf(a)visus.uni-stuttgart.de) Please send your application for one or more positions including (1) cover letter, (2) complete CV, (3) list of publications, (4) names and contact details of at least two references, and (5) education certificates (including transcripts of courses and grades) as a single PDF file at the latest on Oct 17, 2021 to jobs(a)visus.uni-stuttgart.de. Information on the research group: https://www.visus.uni-stuttgart.de/. Applications by women are strongly encouraged. Severely challenged persons will be given preference in case of equal qualifications. Information on how the university protects personal data in accordance with Article 13 of the GDPR can be found via the following link: https://www.uni-stuttgart.de/en/privacy-notice/job-application/.

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VISUALIZATION SCIENTIST (3D/VR) POSITION AT KAUST VISUALIZATION CORE LAB
by Sohaib Ghani 07 Oct '21

07 Oct '21

**VISUALIZATION SCIENTIST (3D/VR) POSITION AT KAUST VISUALIZATION CORE LAB** The KAUST Visualization Core Lab (KVL) is seeking a highly motivated and collaborative scientist with experience working in virtual and augmented reality (VR and AR) to build cutting-edge interactive immersive visualization workflows. The scientist also develops solutions for the effective visualization and exploration of large scientific datasets on a variety of ultra-high resolution tiled-displays and VR environments such as CAVE, semi-immersive display walls, head mounted displays, and AR devices. KVL advances the KAUST mission by providing cutting-edge visualization and data science services; collaborating with domain researchers to accelerate discoveries through large-data visualization, machine learning and data science; and supporting the needs of KAUST and in-Kingdom entities by providing access to and training on state-of-the-art visualization hardware and software for scientific discovery. As a member of the KAUST Core Labs, the scientist will work in close collaboration with multiple labs and other stakeholders. They will provide training and support for students and researchers on VR/AR software and hardware facilities in the lab, participate in and organize training seminars and workshops, and provide student mentoring and support in collaboration with KAUST faculty, as appropriate. Major Responsibilities 1. Design immersive visualization workflows resulting from data produced by various facilities at KAUST, e.g., from simulations done at the KAUST supercomputing facilities, image stacks and 3D volumes produced by microscopes (SEM/cryo/TEM/confocal) and other imaging facilities (CT/micro-CT), ocean and environment data collected by ships and AUV's, etc. 2. Propose, evaluate, design, deploy/implement, and test new immersive solutions, pipelines, software and hardware 3. Provide support and expertise in 3D scientific visualization, image segmentation & 3D reconstruction, and AR/VR solutions to research endeavors across campus. 4. Set up custom immersive visualization hardware and software systems based on project requirements 5. Work collaboratively with the team and external vendors to maintain and upgrade existing VR systems Qualifications & Competencies 1. Ph.D. degree in computer science or related field with demonstrated relevant expertise 2. Familiarity and experience with advanced tools, such as Unity3D/UNREAL Engine, AVIZO, Paraview, MeshLab, ilastik/FIJI, etc.; 3D authoring tools such as Maya/Blender; and large-scale VR systems, like CAVE, immersive display walls, and HMD-based VR systems 3. Strong background in programming languages like C/C++/C# and JavaScript, Linux-based operating systems, and interactive graphics, e.g., 2D/3D graphics, image processing, and advanced rendering techniques 4. Experience in designing reinforcement learning solutions on VR platforms, VR/AR application design, image segmentation, 3D volume visualization, 3D geometry conversion, mesh simplification, and 3D reconstruction 5. Excellent oral and written communication in English 6. Proven ability to work with minimal supervision in a multidisciplinary environment 7. Some experience in information visualization and visual analytics is an advantage E-mail: jysoo.lee(a)kaust.edu.sa<mailto:jysoo.lee@kaust.edu.sa> & anton.oltar(a)kaust.edu.sa<mailto:anton.oltar@kaust.edu.sa> or Apply Now<https://careers.kaust.edu.sa/job/Visualization-Core-Lab-Visualization-Staff…> More Information: https://bit.ly/VisualizationVRStaffScientist<https://urldefense.com/v3/__https:/bit.ly/VisualizationVRStaffScientist__;!…> Founded in 2009, King Abdullah University of Science and Technology (KAUST) is a top-ranking graduate research university located on the shores of the Red Sea in Saudi Arabia. The University is dedicated to solving global challenges in the areas of food, water, energy, the environment, health, and digital. KAUST employees enjoy exceptional packages, including competitive salaries and relocation allowances, fully-furnished on-campus accommodation, and comprehensive health insurance coverage. KAUST also provides international schools (IB program) and a wide variety of recreation facilities. The Core Labs at KAUST is a shared research facility comprised of 12 laboratories run by over 240 staff. Its mandate is to promote the scientific ambitions of KAUST and Saudi Arabia by stewarding and developing state-of-the-art facilities and technical expertise and delivering research support, training, collaboration, and services to KAUST faculty, students, researchers, and partners.

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3 faculty openings at Purdue University
by Parsons, Paul 30 Sep '21

30 Sep '21

Dear Colleagues, We are looking to fill 3 tenure/tenure-track positions at Purdue in interactive media and computer graphics. Review of applications will begin November 1, 2021. Assistant/Associate Professor in Interactive Media and Computer Graphics At Purdue University, the Department of Computer Graphics Technology (CGT) is one of six units in the Purdue Polytechnic Institute. CGT grants Bachelor’s, Master’s, and Doctoral degrees and Purdue is a world-renowned public land grant institution. The department includes majors in game development and design, animation and visual effects, data visualization, building information modeling, digital enterprise systems, web programming and design, and UX design. For additional information, please visit: https://polytechnic.purdue.edu/cgt. The Department of Computer Graphics Technology at Purdue University is seeking to fill three tenure/tenure-track positions on the West Lafayette, Indiana campus, beginning in August 2022. CGT balances undergraduate and graduate education with a strong research and engagement agenda. We are a research-intensive department focused on applied research informed by close engagement with industry. Qualifications: An earned PhD in a field related to interactive media and computer graphics such as computer science, informatics, computer engineering, or similar, completed by August 1, 2022. Focus areas may include interactive and human-centered computing, AR/VR/xR, physical computing, computer science, digital media, information sciences, HCI, computational media, information design, tangible and embodied interaction, and visualization. Evidence of the ability to pursue interdisciplinary funded research and work with and teach diverse groups of students is required. The candidate should demonstrate competence in teaching practical programming and software development skills. Job Description: The Department of Computer Graphics Technology at Purdue University (CGT) seeks a tenure-track Assistant or Associate Professor in the field of interactive computer graphics. The faculty member will engage in research and teaching in interactive computer graphics; VR/AR; wearable, mobile, and ubiquitous systems; interaction design; human-centered AI; programming of interactive applications; gaming; or visualization. Candidates should be prepared to teach programming, software engineering and application development, or related skills. The prospective faculty will support the undergraduate majors in CGT, advise master’s and doctoral students, develop and conduct an actively funded research program, and provide service and engagement work. Duties: Commitment to teaching, scholarly activity, and the building of an active research program are required. Demonstrating teaching experience; scholarly research, and funded activities for an active research program; teaching and developing graduate and undergraduate courses, and mentoring are expected. Ideal competencies include but are not limited to research and development of physical and programming artifacts in HCI. Applicants must be committed to all aspects of diversity in learning, discovery, and engagement. Application Process: All candidates need to apply through the Success Factors link found here: https://career8.successfactors.com/sfcareer/jobreqcareer?jobId=15976&compan…. Review of applications will begin no later than November 1, 2021 and will continue until the position is filled. Interested candidates are requested to submit a cover letter, CV, statement of teaching, research philosophy statement, a diversity statement, and a list of three professional references with contact information. Purdue University’s Department of Computer Graphics Technology is committed to advancing diversity in all areas of faculty effort, including scholarship, instruction, and engagement. Candidates should address at least one of these areas in a separate Diversity and Inclusion Statement, indicating their past experiences, current interests or activities, and/or future goals to promote a climate that values diversity and inclusion. A background check will be required for employment in this position. Any questions about this position should be sent to the search committee chair: Dr. Jorge Dorribo Camba jdorribo(a)purdue.edu<mailto:jdorribo@purdue.edu> Department of Computer Graphics Technology Polytechnic Institute Purdue University Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.

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EuroVis 2022 - Call for State of the Art Reports, deadline for sketches -- October 15, 2021
by Turkay, Cagatay 27 Sep '21

27 Sep '21

Dear colleagues, With this call, we invite submissions of high-quality State of the Art Reports (STAR) to be presented at the EuroVis 2022 conference (http://conferences.eg.org/eurovis2022/) and published in the Computer Graphics Forum journal<https://onlinelibrary.wiley.com/journal/14678659>. The EuroVis 2022 conference will be held in Rome, Italy on June 13-17, 2022 and further details could be accessed here: https://conferences.eg.org/eurovis2022/stars/ . The STAR submissions go through a two-stage process, and the deadline for the first stage, i.e., submissions of STAR sketches of two pages (+references, +bibliography), is just around the corner on **October 15, 2021** and we look forward to receiving your submissions, details below. For any questions, please contact us at stars(a)eurovis.org<mailto:stars@eurovis.org> Best wishes, Katerina, Stefan & Cagatay. EuroVis 2022 - Call for State of the Art Reports State-of-the-Art Reports (STARs) are intended to provide up-to-date and comprehensive surveys on topics of interest to the visualization research community. We encourage the submission of STARs on topics that have not yet been covered in any recent STAR or other survey. We welcome submissions that introduce emerging areas of research that are of relevance and interest to visualization research, as well as proposals on more traditional visualization topics. We also welcome contributions from related disciplines and application areas demonstrating contributions to, or benefits from, the area of visualization including, but not limited to, visual computing, computer graphics, human-computer interaction, virtual reality, image processing, computer vision, psychology, geography, chemistry, computational fluid dynamics, data analysis, computational sciences, medicine, biology, economy, social science, etc. All accepted EuroVis STAR reports will be published in the Computer Graphics Forum journal<https://onlinelibrary.wiley.com/journal/14678659>. Important Dates Submission of STAR Sketch: October 15, 2021 (two pages, +references, +bibliography) Invitation for full STAR submission: November 12, 2021 Submission of full STAR: February 1, 2022 Review notification: Mar 25, 2022 Second round submission: April 20, 2022 Second review notification: May 3, 2022 Camera-ready deadline: May 13, 2022 All deadlines are at 23:59 GMT on the date indicated. Instructions As part of the acceptance process for Computer Graphics Forum, STARs will undergo a multi-stage review process where authors first submit a 2-page STAR Sketch that they receive preliminary feedback on, followed by a full STAR submission. Upon acceptance, we aim to schedule each STAR as an approximately 45 minute presentation (subject to the schedule management of the EuroVis 2022 program). In any circumstance, a STAR presentation will be given a longer time slot than that of a full paper. STAR Sketch Submission A STAR Sketch briefly describes the planned STAR by outlining the topic, discussing its relevance to the visualization community, providing the planned structure and outline of the STAR together with all key references, and short biographies of the authors. The length of a STAR Sketch main text is limited to two pages. To demonstrate the relevant expertise needed to produce the proposed STAR, brief biographies of all authors are required as supplementary material. References and short biographies are considered supplementary pages and are not counted within the two page limit. Authors receive feedback on their sketches to help improve the submission and to inform their decisions whether to progress to the Full STAR submission stage. Full STAR Submission In the next stage, authors are required to submit a full STAR. There is no strict maximum length for full submissions. However, it is unusual for STARs to exceed 20 pages (excluding references). Full STAR submissions will then undergo a single blind, two-stage review process, similar to that of regular papers submitted to Computer Graphics Forum, where 3-4 external experts on the respective topic will evaluate the STAR. STAR Chairs Stefan Bruckner, University of Bergen, Norway Cagatay Turkay, University of Warwick, UK Katerina Vrotsou, Linköping University, Sweden Further details of the conference and the call could be accessed through here: https://conferences.eg.org/eurovis2022/stars/

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Jobs: Inclusive and Human-Centered AI Systems - Endowed Full/ Associate/Assistant Professor- The University of Texas at San Antonio
by IEEE VR Publicity 27 Sep '21

27 Sep '21

Apply here: *https://bit.ly/2W7oqyF* <https://ieeevrpublicity-dot-yamm-track.appspot.com/Redirect?ukey=1Hq7YtN0F5…> The University of Texas at San Antonio is a Hispanic Serving University specializing in cyber, health, fundamental futures, and social-economic development. With more than 34,000 students, it is the largest university in the San Antonio metropolitan region. UTSA advances knowledge through research and discovery, teaching and learning, community engagement and public service. The university embraces multicultural traditions and serves as a center for intellectual and creative resources as well as a catalyst for socioeconomic development and the commercialization of intellectual property—for Texas, the nation and the world. Learn more online <https://ieeevrpublicity-dot-yamm-track.appspot.com/Redirect?ukey=1Hq7YtN0F5…>, on UTSA Today <https://ieeevrpublicity-dot-yamm-track.appspot.com/Redirect?ukey=1Hq7YtN0F5…> or on Twitter <https://ieeevrpublicity-dot-yamm-track.appspot.com/Redirect?ukey=1Hq7YtN0F5…> , Instagram <https://ieeevrpublicity-dot-yamm-track.appspot.com/Redirect?ukey=1Hq7YtN0F5…> , Facebook <https://ieeevrpublicity-dot-yamm-track.appspot.com/Redirect?ukey=1Hq7YtN0F5…> , YouTube <https://ieeevrpublicity-dot-yamm-track.appspot.com/Redirect?ukey=1Hq7YtN0F5…> or LinkedIn <https://ieeevrpublicity-dot-yamm-track.appspot.com/Redirect?ukey=1Hq7YtN0F5…> . UTSA is situated in a global city that has been a crossroads of peoples and cultures for centuries, values diversity and inclusion in all aspects of university life. As an institution expressly founded to advance the education of Mexican Americans and other underserved communities, our university is committed to ending generations of discrimination and inequity. UTSA, a premier public research university, fosters academic excellence through a community of dialogue, discovery and innovation that embraces the uniqueness of each voice. Over the past two years, The University of Texas at San Antonio (UTSA) has made significant progress in interdisciplinary AI research and scholarship efforts, notably through the newly launched MATRIX AI Consortium and establishing the School of Data Science. UTSA has a focused hiring plan in the area of Artificial Intelligence, specifically in Inclusive & Human-Centered AI Systems and AI Accelerators, both of which advance the research thrusts in the MATRIX. The initiative will serve as the nexus for leading AI innovators to perform transdisciplinary research, engage in high-impact partnerships, and provide thought leadership and domain expertise to solve intractable problems in AI. Highlighted positions:¿ Endowed Full/Associate Professor in Inclusive and Human-Centered AI Systems and Assistant Professor with expertise in AI Accelerators; Endowed Full Professor with a joint appointment in the Department of Computer Science and the Department of Electrical and Computer Engineering. Assistant Professor in the field of AI Accelerators will have an appointment in the Department of Electrical and Computer Engineering. Qualifications 1. *Inclusive and Human-Centered AI Systems: *Outstanding senior candidates are invited for an Endowed Full/Associate professor position in “Inclusive and Human-centered AI Systems”. Human-centered AI, is a multidisciplinary effort to advance AI research and deployment in ways that dramatically amplify human performance in several settings. This area bridges the fields of AI models (*eg*: explainable AI, fairness in AI models, decentralized decision making, dynamic & adaptive models) with human engagement in high-consequence contexts. Researchers in this area will have the opportunity to collaborate with MATRIX partners in developing convergent AI solutions that are inclusive. Successful candidates will demonstrate (1) a record of high-quality research, publication record, and track-record of external funding in human-centered AI & related areas, (2) excellence in undergraduate and graduate education, and (3) a commitment to inclusion and diversity. Responsibilities Responsibilities include research (individual and collaborative), teaching at the graduate and undergraduate levels, and program development. Candidates for the endowed professor/associate professor should be creating research products, expected but are not limited to communicating the research project results in diverse academic outlets; contributing to open-source scientific software, curated datasets, and/or blogs; and developing thought leadership pieces with academic, government, and industry partners. Posting End Date All applications received by *December 1st, 2021* will be given full consideration. Applications received after that date will be accepted and reviewed until the position is filled. Required Application Materials Applicants should submit their application packages via the UTSA HR website: https://www.utsa.edu/hr/employment/ <https://ieeevrpublicity-dot-yamm-track.appspot.com/Redirect?ukey=1Hq7YtN0F5…> - Curriculum Vitae - Research and teaching statements, which include discussion on the role diversity and inclusion plays in an academic environment (3-page limit) - Complete contact information for at least three professional references *Please submit all documents together in a single PDF in order to be considered.* Questions and nominations for any position should be sent to the Director of MATRIX AI Consortium, Dhireesha Kudithipudi, Search Committee Chair at dk(a)utsa.edu. Required Qualifications - Doctorate degree in Computer Engineering, Computer Science, Electrical Engineering, and/or related fields. - Appropriate research and teaching record for appointment at the rank for each position (for those seeking appointments with tenure, this is contingent upon Board of Regents’ approval) - Demonstrated commitment to inclusion and diversity. - Moreover, the successful candidate(s) must demonstrate their ability to work with and be sensitive to the educational needs of diverse urban populations and support the University’s commitment to thrive as a Hispanic Serving Institution and a model for student success. - The most competitive candidates will also have experience in interdisciplinary research and/or curriculum development, and scientific open-source projects. - Applicants for an Assistant Professor position must earn a Ph.D. degree by August 1st, 2022, and must demonstrate a strong potential for excellence in research and teaching. Preferred Qualifications - Ideal candidates include those who demonstrate evidence of a commitment to collaboration, diversity, equity, and inclusion through research, teaching, service endeavors, and those who can show a commitment to data-intensive research and software reproducibility. Working Conditions *On Campus: *Primary work location will be on campus Additional Information - UTSA is a tobacco free campus. - This is a security sensitive position. Employment is contingent upon a successful background check. - Applicants selected must be able to show proof of eligibility to work in the United States by time of hire. EO/AA Statement As an equal employment opportunity and affirmative action employer, it is the policy of The University of Texas at San Antonio to promote and ensure equal employment opportunity for all individuals regardless of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability or genetic information, and veteran status. The University is committed to the Affirmative Action Program in compliance with all government requirements to ensure nondiscrimination. Women, minorities, people with disabilities and veterans are encouraged to apply. UTSA campuses are accessible to persons with disabilities. [image: beacon]

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VIS21CPH - IEEE VIS 2021 satellite event in Copenhagen - Call for Participation
by Søren Knudsen 22 Sep '21

22 Sep '21

Call for Participation (sorry for cross-posting) IEEE VIS 2021 satellite event in Copenhagen, Denmark, Oct. 24-29. https://vis21cph.itu.dk The IT University of Copenhagen is organizing an IEEE VIS 2021 satellite event in Copenhagen, Denmark, Oct. 24-29. We plan for a fully catered event with free registration (thanks to our sponsors). The event will bring together local communities of people from academia and industry, both students and professionals that all share an interest in data visualization. During the IEEE VIS 2021 virtual event, we will meet at ITU to stream the virtual event together and to interact through associated local events. The satellite program will provide options for viewing the virtual IEEE VIS 2021 Program, ~15.00-20.20 local time (CEST), pending final virtual program. The satellite program will provide several opportunities to attend local events and to interact with other attendees. We plan the following local events (details forthcoming): - Local Keynote - Network Visualization Workshop - Healthcare Data Workshop - eXplainable AI Workshop - Poster session - Visualization in Practice community meetup Please sign up<https://forms.office.com/pages/responsepage.aspx?id=timivgh6hkC0THH1f3Fr27Z…> to receive updates from our mailing list. Registration information pending. Sincerely, Søren Knudsen (Satellite Chair)

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ACM ISS 21: Workshop "Transitional Interfaces in Mixed and Cross-Reality: A new frontier?"
by Hans-Christian Jetter 20 Sep '21

20 Sep '21

***** CALL FOR PARTICIPATION ***** Workshop "Transitional Interfaces in Mixed and Cross-Reality: A new frontier?" Hybrid Workshop at 2021 ACM Interactive Surfaces and Spaces Conference (ACM ISS 2021) Date: November 14, 2021 in Łódź, Poland Submission deadline: October 18, 2021, 23:59 AoE Website: https://idux-jetter.org/ti-iss2021/ ** ORGANIZERS ** Hans-Christian Jetter (University of Lübeck, Germany), Jan-Henrik Schröder (University of Lübeck, Germany), Jan Gugenheimer (Institut Polytechnique de Paris, Télécom Paris, France), Mark Billinghurst (University of South Australia, Australia and University of Auckland, New Zealand), Christoph Anthes (University of Applied Sciences Upper Austria, Hagenberg Campus, Austria), Mohamed Khamis (University of Glasgow, United Kingdom), Tiare Feuchtner (University of Konstanz, Germany) ** TOPIC OF THE WORKSHOP ** The rapid proliferation of powerful, yet affordable, off-the-shelf AR/VR head-mounted displays (HMDs) raises questions about how to better integrate such mixed reality technologies into our real-world computing ecosystems and into the real-world physical spaces they inhabit. We believe that in the future the concept of transitional interfaces (TIs), which was initially introduced by Billinghurst et al.'s "MagicBook" in 2001 [1], will provide a key lens through which mixed reality systems should be analysed, understood, and designed to achieve better integration. Billinghurst et al. already envisioned a system that enables a team of users (e.g., an architect and her clients) to move seamlessly between reality and immersive virtual reality while collaborating on the task at hand in the same physical space. We believe that similar to how cross-device interaction [2] has blended tabletop computers, digital whiteboards, and mobile devices with our familiar physical and social environment in meeting rooms [3] or even desk lamps [4], transitional interfaces could help us to seamlessly integrate systems from different locations along the RV-continuum [5] as usable, consistent, and coherent user interfaces in a shared physical space. Prior work has explored similar concepts: In their ISS 2020 workshop on cross-reality (XR), Simeone et al. [6] envisioned interfaces that enable "(i) a smooth transition between systems using different degrees of virtuality or (ii) collaboration between users using different systems with different degrees of virtuality". Riegler et al. [7] propose cross-virtuality (XV) as "a seamless integration and transition between conventional 2D visualization, augmented reality and virtual reality in order to provide users with optimal visual and algorithmic support with maximum cognitive and perceptual suitability, depending on their current tasks and needs". Our workshop is aimed at bringing together researchers who are working on TIs or related concepts such as XR or XV to create a common ground and mutual understanding for developing this space further. We believe that ACM ISS is an optimal venue for such work, since it brings together the extensive experience of researchers in the field of interactive surfaces and spaces including cross-device interaction and researchers from the AR/VR/XR/XV community. Focus topics of the workshop include but are not limited to: 1. Defining TIs: Identify differences and commonalities between transitional interfaces and related terms and terminologies (e.g., cross-reality, cross-virtuality, hybrid user interfaces). 2. Designing TIs: Compare and discuss designs of interaction and visualization techniques that support seamless transitions while maintaining situational and group awareness. 3. Evaluating TIs: Develop cognitive models or constructs for "seamlessness", "continuity", or other important qualities of TIs and discuss how to "measure" them in user studies and experiments. 4. Building TIs: Discuss and compare hard- and software that especially supports or hinders seamless transitions, e.g., video-based vs. optical see-through, different AR/VR engines, platforms for networked virtual environments. ** PROGRAM & SUBMISSIONS ** The full-day workshop will take place as a hybrid event as part of the 2021 ACM Interactive Surfaces and Spaces Conference (ACM ISS 2021) on November 14th in Łódź, Poland. We will ensure that anyone can effectively contribute to the workshop regardless of what the circumstances in November will be. ISS will offer virtual attendance opportunities. Please visit https://idux-jetter.org/ti-iss2021/ for more details and how to submit position papers. ** REFERENCES ** [1] M. Billinghurst, H. Kato, and I. Poupyrev. 2001. The MagicBook - moving seamlessly between reality and virtuality. IEEE Computer Graphics and Applications 21, 3 (2001), 6-8. https://doi.org/10.1109/38.920621 [2] Frederik Brudy, Christian Holz, Roman Rädle, Chi-Jui Wu, Steven Houben, Clemens Nylandsted Klokmose, and Nicolai Marquardt. 2019. Cross-Device Taxonomy: Survey, Opportunities and Challenges of Interactions Spanning Across Multiple Devices. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1-28. https://doi.org/10.1145/3290605.3300792 [3] H.C. Jetter, H. Reiterer, and F. Geyer. 2014. Blended Interaction: Understanding Natural Human-Computer Interaction in Post-WIMP Interactive Spaces. Personal and Ubiquitous Computing 18, 5 (2014), 1139-1158. https://doi.org/10.1007/s00779-013-0725-4 [4] Roman Rädle, Hans-Christian Jetter, Nicolai Marquardt, Harald Reiterer, and Yvonne Rogers. 2014. HuddleLamp: Spatially-Aware Mobile Displays for Ad-Hoc Around-the-Table Collaboration. In Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces (Dresden, Germany) (ITS '14). Association for Computing Machinery, New York, NY, USA, 45-54. https://doi.org/10.1145/2669485.2669500 [5] P. Milgram and F. Kishino. 1994. A Taxonomy of Mixed Reality Visual Displays. IEICE Transactions on Information and Systems E77-D, 12 (1994),1321-1329. [6] Adalberto L. Simeone, Mohamed Khamis, Augusto Esteves, Florian Daiber, Matjaž Kljun, Klen Čopič Pucihar, Poika Isokoski, and Jan Gugenheimer. 2020. International Workshop on Cross-Reality (XR) Interaction. In Companion Proceedings of the 2020 Conference on Interactive Surfaces and Spaces (Virtual Event, Portugal) (ISS '20). Association for Computing Machinery, New York, NY, USA, 111-114. https://doi.org/10.1145/3380867.3424551 [7] A. Riegler, C. Anthes, H.C. Jetter, C. Heinzl, C. Holzmann, H. Jodlbauer, M. Brunner, S. Auer, J. Friedl, and B. Fröhler. 2020. Cross-Virtuality Visualization, Interaction and Collaboration. In International Workshop on Cross-Reality (XR) Interaction @ ACM ISS 2020. http://ceur-ws.org/Vol-2779/paper1.pdf

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