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Graphics Interface 2023 - Call for Papers
by Charles Perin 10 Nov '22

10 Nov '22

Graphics Interface 2023 invites submissions covering all aspects of HCI, graphics, and visualization. Research at the intersections of these areas, as well as intersections with computer vision, machine learning, and artificial intelligence are also encouraged. All paper submissions are rigorously peer reviewed by at least three reviewers. Graphics Interface is the Canadian annual conference devoted to computer graphics, interactive systems, and human-computer interaction. It is the oldest regularly-scheduled computer graphics and HCI conference; the first conference was held in 1969. GI 2023 will be in Victoria, British Columbia, Canada, between May 30 and June 2, 2023. For more details, visit http://graphicsinterface.org/conference/2023/ All accepted GI papers will be indexed in the ACM Digital Library and will be open access in the GI archive. The Michael A. J. Sweeney Award will be awarded at the conference to the best student papers in computer graphics and HCI. Additionally, authors of top papers will be invited to submit revised and extended versions to the journals IEEE Transactions on Visualization and Computer Graphics (TVCG) and Computers & Graphics. Conference Format GI 2023 will be a hybrid conference. Attendees/presenters will have the option of attending and presenting in person or remotely. We encourage attendance in person to fully take advantage of the extensive opportunities to connect with other researchers in a great environment, and to build community. However, we will also facilitate remote attendance for those who cannot make it in person. Registration fees for paper presenters will be the same regardless of whether they present in person or remotely. Submission Instructions Following the lead of other conferences in Graphics/HCI, we are using a multiple deadline model for GI. Papers can be submitted to one of two deadlines strategically placed by considering other graphics and HCI deadlines. While the first deadline is already decided, the exact date for the second deadline will be announced near the end of 2023: First submission/review cycle: * Paper Deadline: Friday, December 16, 2022, 11:59 pm AoE * Papers assigned to IPC: Tuesday, December 20, 2021 * Expert reviews due: Friday, January 13, 2023 * Author Notification: Wednesday, January 18, 2023 Second submission/review cycle: * Paper deadline: End of March / Beginning of April * Papers assigned to IPC: tbd * Expert reviews due: tbd * Author Notification: tbd Submitting to either of the deadlines is equivalent. The review process will be the same for each. The only differences are the submission deadline and notification dates. All accepted papers will be presented at the GI 2023 conference. The advantage of submitting to an earlier deadline is earlier author notification. Papers rejected from an earlier deadline can be significantly revised and resubmitted for the later deadline. Submit your work in the format described in the Paper Formatting Instructions page (https://graphicsinterface.org/conference/2023/submissions/formatting-instru…) to OpenReview at https://openreview.net/group?id=graphicsinterface.org/Graphics_Interface/20… Review Process GI 2023 will use OpenReview. This system, which has been used for GI since 2020, allows for increased transparency and accountability during peer review. * GI 2023 submissions will continue to be double-blind: authors will not know reviewers' identities, and reviewers will not know authors' identities. * Immediately upon submission, each paper will become available publicly and anonymously and time-stamped accordingly. This eliminates the need to post submissions simultaneously on ArXiv, and consequently authors are prohibited from deanonymizing their papers by posting them on ArXiv or elsewhere. * After the review period, all reviewers' scores and comments will be simultaneously revealed publicly and anonymously for each submission. The author identities of each accepted submission will be revealed, whereas authors of rejected papers may decide to withdraw their submission if they do not wish to keep a de-anonymized and time-stamped public record of their submission. Kangkang Yin and Charles Perin GI 2023 Paper Chairs

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Open Positions for Assistant Professorships in Visual Computing and Geometry Processing at the Utrecht University, NL
by Michael Behrisch 07 Nov '22

07 Nov '22

Dear colleagues, I would like to steer your attention to the following job openings at the Utrecht University, NL. The department of Information and Computing Sciences of Utrecht University has two openings on an Assistant Professor level: Assistant Professor in Visual Computing (0.8 - 1.0 FTE) - Working at Utrecht University - Utrecht University (uu.nl) <https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/assist…> Assistant Professor in Geometry Processing (0.8 - 1.0 FTE) - Working at Utrecht University - Utrecht University (uu.nl) <https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/assist…> Application deadline is 13 December 2022. The Department of Information and Computing Sciences (ICS; https://www.uu.nl/en/organisation/department-of-information-and-computing-s…) is nationally and internationally renowned for its fundamental and applied research in computer science and information science and has a strong background in Theoretical Computer Science, Algorithms, Computational Geometry, Data Visualization, Human-Computer Interaction (to name just a few) and is rapidly growing, so you should expect exciting collaborations. In our constantly changing (digital) society, we are continually looking for new, realistic ways to push the boundaries of both science and societal application. We contribute to innovative information technologies through the development and application of new concepts, theories, algorithms, and software methods. With our expertise, we nourish a wide range of interdisciplinary and societal collaboration initiatives. Due to our successful educational programmes and our ambitions in research, the Department of Information and Computing Sciences (https://www.uu.nl/en/organisation/department-of-information-and-computing-s…) is expanding. With best regards, Michael Behrisch -- *Dr. Michael Behrisch*|Assistant Professor (UD1)| Utrecht University | Information and Computing Science| Princetonplein 5, 3584 CC Utrecht | room BBG 4.25 | +31 687 110577 |m.behrisch(a)uu.nl <mailto:m.behrisch@uu.nl>| https://michael.behrisch.info | www.graphpolaris.com

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CfP EuroVis 2023 Workshop: VisGap - The Gap between Visualization Research and Visualization Software
by Krone, Michael 03 Nov '22

03 Nov '22

Dear colleagues, We would like to invite you to contribute to: ******************************************************************************* VisGap - The Gap between Visualization Research and Visualization Software (co-located with EuroVis 2023) June 12th, 2023, Leipzig, Germany ******************************************************************************* Over the years, many visualization methods and tools have been developed and published by the visualization research community. However, most of these are prototypes and never reach a state that can be reliably used by the target audience, e.g., domain scientists. Also, availability of these prototypes as source code or at least as executables is still the exception rather than the norm. The VisGap workshop aims to shed light on this gap between research and practical applicability, examine the obstacles every researcher faces, and propose solutions to overcome this problem as a community. VisGap'23 aims at gathering experts from all over the visualization community in order to advance the way our field works with software, sustains software, and values the effort our members put into developing said software. Following the scheme of EGPGV, VisGap'23 has two submission deadlines: early submission in mid-December and regular submission in early March. This gives authors the flexibility to choose between the two submission deadlines. The early submission deadline also allows authors improving their manuscripts and resubmitting them to the regular deadline in case they are not successful in the early review stage, similar to a major revision. We solicit papers with 4-8 pages, with one additional page allowed for references. All submissions must be original works that have not been published previously in any conference proceedings, magazine, journal, or edited book, or must present a substantial extension of previous work (at least 30%). Papers must be submitted through PCS (https://new.precisionconference.com/) All submissions will undergo a single-blind, single-stage peer review process. Accepted papers will be published by the Eurographics Association, and be stored in the Eurographics Digital Library. At least one author of each accepted paper must register and participate in the VisGap'23 workshop to present their work. Topics include, but are not limited to: - Requirements for successful visualization in applications in general - Domain-specific requirements for visualizations - Reflections on the research community and the visualization software ecosystem - Incentives and funding for developing/maintaining visualization research software - Legal requirements (e.g., licensing, certification) for visualizations in applications - Case studies of (un)successful visualization solutions in applications - Requirements for novel visualization libraries - Verification and validation in visualization (applications) - Reproducibility of visualizations Important Dates (Early Submission Deadline) ******************************************************************************* Early Paper Submission Deadline: December 16, 2022 Early Notification of Acceptance: January 27, 2023 Workshop Date: June 12, 2023 More info: https://visgap.gitlab.io/visgap23/ Organizers and Contact ******************************************************************************* Christina Gillmann, TU Kaiserslautern, Germany Michael Krone, Eberhard Karls University of Tübingen, Germany Guido Reina, University of Stuttgart, Germany Thomas Wischgoll, Wright State University, Dayton, USA If you have any questions, please contact us: mailto: visgap(a)googlegroups.com Best regards, Christina Gillmann, Michael Krone, Guido Reina, Thomas Wischgoll VisGap'23 Organizing Committee

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Conferences: IEEE VR 2023 call for all programs
by IEEE VR Publicity 29 Oct '22

29 Oct '22

Dear Recipients, The call and deadlines for IEEE VR 2023 are now online on the website: https://ieeevr.org/2023/ The conference welcomes your contribution for demos, posters, contest, workshops, and so on! -- Call for Workshops <https://ieeevr.org/2023/contribute/workshops/> (Proposals and CFPs due Dec.2) Call for Doctoral Consortium <https://ieeevr.org/2023/contribute/doctoral-consortium/>(Submission deadline: Dec.12) Call for Posters <https://ieeevr.org/2023/contribute/posters/>(Submission deadline: Dec.18) Call for 3DUI Contest <https://ieeevr.org/2023/contribute/3dui-contest/>(Submission deadline: Dec.22) Call for Research Demos <https://ieeevr.org/2023/contribute/demos/>(Submission deadline: Jan.6) Call for Tutorials <https://ieeevr.org/2023/contribute/tutorials/>(Submission deadline: Jan.9) Call for Panels <https://ieeevr.org/2023/contribute/panels/>(Submission deadline: Jan.12) Call for Videos <https://ieeevr.org/2023/contribute/videos/>(Submission deadline: Jan.13) Call for Student Volunteers <https://ieeevr.org/2023/contribute/studentVolunteers/>(Submission deadline: Feb.3) IEEE VR 2023, the 30th IEEE Conference on Virtual Reality and 3D User Interfaces will be held from March 25th through March 29th, 2023 at the Pudong Shangri-La Hotel in Shanghai, China. Our goal is to provide the best hybrid conference experience for physical and virtual attendees, learning from the historical footsteps of the successfull physical or virtual experience of past IEEE VR conferences <https://ieeevr.org/2023/past-conferences/>. Come join us for an unforgettable experience and explore the virtuality continuum in the premier event covering extended reality featuring oral presentations, posters, research demos, tutorials, and workshops. The VR community members who are interested to do volunteer work for the IEEE VR conference please fill a form of volunteer information <https://forms.gle/BjYe1fkdwapZuzEt5> here. Thank you for your attention to IEEE VR 2023 ! [image: beacon]

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Three CS Faculty Positions - HCI/CG/VR/VIS
by Christopher Collins 22 Oct '22

22 Oct '22

Ontario Tech is hiring three tenure track positions, including a focus on HCI, Computer Graphics, and immersive tech/VR. The university is undergrad focused and smaller in scale but offers a full CS graduate program, beautiful facilities and lab spaces, and is tech-driven across all the programs, leading to great opportunities for cross-disciplinary collaboration. Official announcement follows. Chris https://ontariotechu.csod.com/ux/ats/careersite/4/home/requisition/329?c=on… Ontario Tech University (University of Ontario Institute of Technology), located in Oshawa, Ontario and in the Greater Toronto Area (GTA), is a vibrant growing city, ideally located to enable collaboration with industry partners and other universities in Toronto and the surrounding area. Our innovative programs, and technology-enriched learning environment create an atmosphere of academic excellence. Ontario Tech promotes social engagement, fosters critical thinking, and integrates outcomes-based learning experiences inside and outside the classroom. We invite you to consider joining our globally-trained faculty as we further our reputation for providing a leading-edge learning environment and delivering innovative research. The Faculty of Science at Ontario Tech University invites applications for three tenure-track faculty positions in Computer Science at the rank of assistant professor, with a starting date as early as January 1, 2023 or July 1, 2023 (negotiable). Applications from exceptional candidates in all areas of Computer Science will receive full consideration. We especially encourage applications from women, Indigenous peoples and other under-represented groups. Expertise in any of the following areas will be considered an asset: Computer Graphics and Digital Media, Human Computer Interaction (including immersive computing and VR research), Software Engineering, Machine Learning (especially with applications in Natural Language Processing), and Data Science. Candidates should have obtained or be near completion of a PhD in Computer Science or related fields. Ideal applicants will be able to exhibit a strong academic background, a record of excellence in research, and evidence of or strong potential for effective teaching. In addition, candidates should possess excellent English language skills demonstrating an ability to ensure strong, two-way communications on an ongoing basis that contribute to collaborative/collegial relationships with faculty, staff, students, and the community at large. The successful candidate will be expected to follow a 40% Research, 40% Teaching and 20% Service workload each year. They will be expected to develop successful and innovative externally-funded research programs which support peer-reviewed publications, training of graduate students at both masters and PhD level, and academic and industrial collaborations. They will also be responsible for teaching at both the undergraduate and graduate level and contributing to curriculum development. Given Ontario Tech's commitment to providing a technology-enhanced learning environment, we seek individuals who are interested to explore and develop effective pedagogical applications of technology in Computer Science education. The Faculty of Science offers a vibrant and dynamic academic environment with a strong track record of high impact research and innovative teaching. The Computer Science BSc (Honours) program includes specializations in Digital Media and Data Science as well as a co-op option. The Computer Science MSc and PhD programs are cross-Faculty and are supported by over 20 research faculty, including three Canada Research Chairs. This position falls within the bargaining unit represented by the UOIT Faculty Association<https://www.uoitfa.ca/> and will be subject to the terms and conditions of the collective agreement between the University and the UOIT Faculty Association<https://www.uoitfa.ca/>. The collective agreement may be found on the Human Resources section of our website. Starting salary will be commensurate with experience and annual salary increases are administered as per the terms outlined in the collective agreement. Review of applications will begin on November 8, 2022 and will continue until a suitable candidate is found. Applicants should submit in electronic format a covering letter; a curriculum vitae including a list of publications; a statement of teaching interests/experience; an outline of their present research program; a brief future research plan; and the names of three referees through the Ontario Tech website. Ontario Tech University is an equal opportunity employer and welcomes applications from all qualified candidates, while especially encouraging applications from women, members of visible minorities, Indigenous peoples, persons with disabilities, and persons of any sexual orientation, gender identity, and gender expression. All qualified candidates are encouraged to apply; however, Canadian citizens, permanent residents and Indigenous Peoples in Canada will be given priority. Ontario Tech University respects people's different needs and therefore will take all reasonable steps to ensure accommodation for applicants where appropriate. The University is also committed to ensuring that confidentiality is maintained throughout all aspects of the recruitment cycle. Prior to May 1, 2022, the university required all students, faculty, staff and visitors (including contractors) to be fully vaccinated against Covid-19 as defined by our mandatory vaccine directive.<https://usgc.ontariotechu.ca/policy/policy-library/policies/administrative/…> This directive was paused, effective May 1, 2022, but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts. All employees of the university will be expected to comply with the requirements of this directive. The university recognizes faculty and staff may require accommodations. We are committed to an accommodation process in which individualized needs (e.g. for medical and religious/creed grounds) are appropriately addressed under the Ontario Human Rights Code. A COVID-19 Vaccination Accommodation Application Form<https://shared.ontariotechu.ca/shared/department/communications/documents/r…> is available. If you require accommodation, please contact Julie Day<https://hr.ontariotechu.ca/about-us/your-hr-team.php>, Health and Disability Management Specialist. For more information about the universities policies for accommodating employees with disabilities please review the university's Accessibility Policy<https://usgc.ontariotechu.ca/policy/policy-library/policies/legal,-complian…> The university acknowledges the lands and people of the Mississaugas of Scugog Island First Nation which is covered under the Williams Treaties. We are situated on the Traditional Territory of the Mississaugas, a branch of the greater Anishinaabeg Nation which includes Algonquin, Ojibway, Odawa and Pottawatomi. Job Location: Oshawa, Ontario, Canada Expected Start Date: January 1, 2023 or July 1, 2023 (Flexible)

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Several positions available
by Zhao, Jiayan 19 Oct '22

19 Oct '22

Greetings all, We have some interesting positions available that I hope some of you are interested in. Or, maybe you find them interesting for your networks, feel free to share them widely; thank you. We have two positions related to XR, one is a science manager for our new Lab, WANDER, the other is a research position connecting XR, spatial sciences, and, importantly, AI. For the latter position, we have plans to apply for funding from NWO (main Dutch funding organization) if we find the right candidate (needs to be an AI focus). Tenure track AI, Spatial Science, XR (November 5th): Assistant or Associate Professor in Artificial Intelligence for (Geo) Spatial Data Science and eXtended Realities - WUR<https://www.wur.nl/en/research-results/chair-groups/environmental-sciences/…> Science Manager WANDER lab (October 24th): Senior Science Manager eXtended Realities and the WUR Metaverse - WUR<https://www.wur.nl/en/vacancy/senior-science-manager-extended-realities-and…> We also have a position focussing on Remote Sensing and AI in our group (November 5th). Assistant or Associate Professor in Artificial Intelligence for Remote Sensing Applications<https://www.wur.nl/en/vacancy/assistant-or-associate-professor-in-artificia…> And another position from our colleagues in Applied Spatial Research (October 31st): Senior researcher Information Science in the environmental domain - WUR<https://www.wur.nl/en/vacancy/senior-researcher-information-science-in-the-…> Thank you Jiayan Ps. We are always looking for postdocs in the XR/serious games realm. If you are interested, please feel free to contact Alexander Klippel (alexander.klippel(a)wur.nl<mailto:alexander.klippel@wur.nl>). Jiayan Zhao, PhD Assistant Professor Laboratory of Geo-information Science and Remote Sensing Wageningen University & Research Email: jiayan.zhao(a)wur.nl<mailto:jiayan.zhao@wur.nl>

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EuroVis 2023 Call for Papers
by Tobias Schreck 15 Oct '22

15 Oct '22

---------------------------- EuroVis 2023 Call for Papers ---------------------------- https://conferences.eg.org/eurovis2023/for-submitters/full-papers/ With this call for papers, we invite submission of high-quality papers that will set the standard and stimulate future trends in the field of visualization and visual analytics. Accepted full papers will be published in a special issue of Computer Graphics Forum, the International Journal of the Eurographics Association, after a two-stage peer-reviewing process. All accepted papers will be presented orally at the conference. Suggested topics include, but are not limited to: • Techniques: novel algorithms, visual encoding methods, and/or interaction techniques for data analysis, exploration, or communication. All sub-areas of data visualization and visual analytics are welcomed, including high-dimensional, time-series, spatial, geographic, text, hierarchical, and network data. Techniques may be specialized for specific devices or form-factors (e.g., mobile or wall-scale visualization). • Systems: new software frameworks, languages, or tools for visualization; systems for large-scale visualization; integrated graphical systems for visual analysis or interactive machine learning; collaborative and web-scale visualization systems. • Applications & Design Studies: novel use of visualization to address problems in an application domain, including accounts of innovative system design, deployment and impact. We welcome diverse application areas, including the physical sciences, life sciences, social sciences, engineering, arts, sports, and humanities. • Evaluation & Empirical Research: Comparative evaluation of competing visualization approaches; controlled experiments to inform visualization best practices; longitudinal and qualitative studies to understand user needs, visualization adoption, and use. • Theory: models of visual encoding, interaction, and/or analysis tasks; implications from theories of perception, cognition, design, and/or aesthetics; methods for automated design or visualization recommendation. For a wider range of paper types, please see "Broadening Intellectual Diversity in Visualization Research Papers" by B. Lee et al.: http://cmci.colorado.edu/visualab/papers/19-CGA-ContributionTypes.pdf --------------- Important Dates --------------- Abstract deadline: November 25, 2022 (Friday) Full paper deadline: December 2, 2022 (Friday) Reviews available, rebuttal start: January 26, 2023 (Thursday) Rebuttal deadline: January 31, 2023 (Tuesday) First Round Notification: February 20, 2023 (Monday) Revised Submission: March 10, 2023 (Friday) Final Notification: March 24, 2023 (Friday) Camera Ready Version: April 14, 2023 (Friday) All deadlines are at 23:59 GMT on the date indicated. ----------------------- Submission Instructions ----------------------- The maximum length for submitted papers to the full papers track is 10 pages (in Computer Graphics Forum (CGF) style, including all images, but excluding references). Authors are encouraged to use supplementary documents to provide extra content. Papers exceeding the maximum allowed number of pages will be automatically rejected. Submissions must be made using the Computer Graphics Forum style, using the conference LaTeX template for full papers which includes a sample document explaining the required format. Please download the template from https://conferences.eg.org/eurovis2023/for-submitters/full-papers/. Authors have the option to submit their papers anonymously. In contrast to previous years, double-blind reviewing is optional, not required: authors may choose to disclose their identities to the reviewers. The reviewing process does not consider anonymity as a factor. The process will attempt to preserve anonymity of authors of anonymized submissions. However, the program committee, which is responsible for half of the reviews, will know the authors of submissions reviewed by them. Authors have the option of submitting additional material with their submissions. Supplementary materials, such as videos and supporting data, are encouraged. For papers that have previously been reviewed for other venues and have been rejected or withdrawn, the authors are strongly encouraged to provide the original submission with a cover letter describing the changes they have made to comply with reviewers’ comments and requests. All full papers accepted to EuroVis appear in a special issue of Computer Graphics Forum, containing the conference proceedings, and will appear at the same time in the Eurographics digital library. EuroVis submissions and papers are subject to the pre-print and self-archiving policies of the Computer Graphics Forum journal. Details are available from the journal web site: https://authorservices.wiley.com/author-resources/Journal-Authors/open-acce… Given the uncertainty due to the pandemic, further details will be communicated regarding possible Open Access charges. In addition, a video presentation of all full papers accepted to EuroVis is required ahead of the conference. Abstracts and full papers are submitted using the Precision Conference System (PCS): https://new.precisionconference.com/eurovis23a. Please select Society: Eurographics, Conference/Journal: EuroVis 2023, Track: EuroVis 2023 Papers. Submission of an abstract is mandatory by the abstract deadline, with completed papers due by the full paper deadline. Submissions will not be accepted if an abstract is not submitted by the abstract deadline. Abstract submissions require the title, authors, paper type, abstract, and keywords in the form. The remaining fields (the document, additional material) are submitted by the full paper deadline. Please note that EuroVis accepted papers are published as a regular-length journal article, so submitting just an abstract is not sufficient. Submitters need to choose keywords and categories appropriate for their paper as this information is used in reviewer selection. ------------------ Full Papers Chairs ------------------ Daniel Archambault, Swansea University, UK Roxana Bujack, Los Alamos National Laboratory, USA Tobias Schreck, Graz University of Technology, Austria For any questions concerning full paper submissions please contact the full paper chairs at: fullpapers(at)eurovis.org.

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Assistant/Associate Professor in Interactive Media and Computer Graphics at Purdue University
by Chen, Yingjie 13 Oct '22

13 Oct '22

Purdue University is a public land grant institution that is world-renowned for its research. 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. The department includes majors in game development and design, animation and visual effects, data visualization, 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 one tenure/tenure-track position on the West Lafayette, Indiana campus, beginning in August 2023. 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 the 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, 2023. Focus areas may include interactive and human-centered computing, AR/VR/xR, physical computing, computer graphics, information sciences, HCI, computational media, information design, tangible and embodied interaction, and visualization. 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 media and computer graphics. The faculty member will engage in research and teaching in some of the following fields: interactive and human-centered computing, AR/VR/xR, physical computing, computer graphics, information sciences, HCI, computational media, information design, tangible and embodied interaction, and visualization. Candidates should be prepared to teach programming, application development, or related skills. Duties: Advising master's and doctoral students, developing and conducting funded research programs, teaching and developing graduate and undergraduate courses, providing service and engagement work, and mentoring are expected. Application Process: All candidates need to apply through the Success Factors link found here: https://careers.purdue.edu/job-invite/22422/. Review of applications will begin no later than November 11, 2022 and will continue until the position is filled. Interested candidates are requested to submit a cover letter, CV, statement of teaching philosophy, research statement, a diversity statement, and a list of three professional references with contact information. Purdue University, the Purdue Polytechnic Institute and the Department of Computer Graphics Technology are committed to free and open inquiry in all matters. Candidates are encouraged to address in their cover letter how they are prepared to contribute to a climate that values free inquiry and academic freedom. 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. Yingjie Chen, victorchen(a)purdue.edu<mailto:victorchen@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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Three Faculty Positions in Data Science, AI, Interactive Decision Making, Human Computer Teaming, Visual and Data Analytics
by Ebert, David 13 Oct '22

13 Oct '22

University of Oklahoma, Norman Campus Three Faculty Positions: Human-Computer Teaming and Interactive Decision Making; Artificial Intelligence Architectures; and Trustable Artificial Intelligence Positions Available: As part of a multiyear effort to grow world-class data science and data-enabled research across The University of Oklahoma (OU), the Gallogly College of Engineering (GCoE), Department of Electrical and Computer Engineering and/or Department of Computer Science, in partnership with the Dodge Family College of Arts and Sciences (CAS), welcomes applications for a cluster of three (3) faculty positions from candidates whose experiences and interests have prepared them to be an integral contributor engaged in scientific discovery, developing talent, solving global challenges, and serving our society. This year we are focusing on data science foundational and enabling technologies. In subsequent years, we’ll be hiring additional data science and data-enabled research faculty. The University, as part of its Lead On, University strategic plan has committed to creating world-class capabilities in data science, artificial intelligence (AI), machine learning (ML), and data-enabled research. In July 2020, the University established the Data Institute for Societal Challenges (DISC) to grow convergent data-enabled research to solve global challenges. DISC currently has over 130 faculty members across OU campuses, nine communities of practice, seed funding programs, and an extended network of approximately 300 data scientists and data-enabled researchers across many disciplines (https://www.ou.edu/disc) Three positions: 1) Professor or Associate Professor in Human-Computer Teaming and Interactive Decision Making: Humans and computers have complementary knowledge and skillsets. To solve challenging problems, we need to team this expertise together for effectiveness, reliability, efficiency, and adoption of many data-driven solutions. This area is cross-disciplinary, and we seek a senior faculty member with expertise in one or more of human-computer teaming, visualization, visual analytics, human-machine interaction, decision theory, HCI, human factors and industrial engineering, or cognitive psychology. This faculty member will be a vital core team member in data science and data-driven decision making with a home department in ECE and possible joint appoint in ISE, Computer Science, Psychology, and/or Political Science. Applications should be submitted online via Interfolio at  http://apply.interfolio.com/112374. Inquires can be addressed to Professor David Ebert, chair of the search committee at ebert(a)ou.edu<mailto:ebert@ou.edu>. 2) Assistant Professor in AI Architectures: We seek to recruit a transdisciplinary faculty member with expertise in one or more of the following areas: scalable, high-performance software and hardware architectures for AI and advanced analytics, advanced and domain-tailored data science, AI (trustable, science-based, and human-guided), and human-computer teaming. Specific areas of interest include probabilistic, neuromorphic, and novel architectures, software pipelines and operating system architectures to support high-performance analytics, and enable real-time trustable AI and decision-making.  Since traditional computing architectures are still based on solving problems from the 20th century, new computing hardware and software architectures are needed to optimize computing for AI and machine learning and many new approaches to science and engineering. This faculty member will grow and complement work in computer engineering, computer science and the new OU quantum center (CQRT) with a home department in ECE and possible joint appointments where appropriate. Applications should be submitted online via Interfolio at  http://apply.interfolio.com/112359.  Inquires can be addressed to Professor David Ebert, chair of the search committee at ebert(a)ou.edu<mailto:ebert@ou.edu>. 3) Assistant Professor in Trustable AI. We are seeking an Assistant Professor in Trustable AI. Human-guided, science-based, explainable AI (xAI) are key areas to ensure AI is understandable, reliable, and robust for real-world applications. This faculty member will grow our expertise in one of the most rapidly developing and vital fields of data science, with a primary home in ECE and potentially joint appointments in CS, Psychology, and ISE. We seek a faculty member with expertise in one or more of science-based AI or machine learning (ML), human-guided AI/ML, explainable AI/ML, and closely related topics.  This faculty member will be a vital core team member in data science, AI, and data-driven convergent research solutions to global challenges. This faculty member will provide vital capabilities that will empower research in all four strategic verticals and grow the data science ecosystem on campus to create the critical mass in data science needed for the success of the university’s strategic plan, Lead On, University. Applications should be submitted online via Interfolio at http://apply.interfolio.com/112372.  Inquires can be addressed to Professor David Ebert, chair of the search committee at ebert(a)ou.edu<mailto:ebert@ou.edu>. Gallogly College of Engineering:  The mission of the GCOE is to foster creativity, innovation and professionalism through dynamic research, development and learning experiences.  The Gallogly College of Engineering is home to the Data Science and Analytics Institute (https://www.ou.edu/coe/dsai) The DSAI provides undergraduate and graduate certificates, Master’s degrees, and PhD degrees in data science and analytics as well as offering workforce upskilling to industry partners. Faculty members in GCoE and across campus participate in the DSAI. The University of Oklahoma:  OU is a Carnegie-R1 comprehensive public research university known for excellence in teaching, research, and community engagement, serving the educational, cultural, economic and healthcare needs of the state, region, and nation from three campuses: Norman, Health Sciences Center in Oklahoma City and the Schusterman Center in Tulsa. OU enrolls over 30,000 students and has more than 2700 full-time faculty members in 21 colleges.  Norman is a vibrant university town of around 113,000 inhabitants with a growing entertainment and art scene. With outstanding schools, amenities, and a low cost of living, Norman is a perennial contender on “best place to live” rankings. Visit http://www.ou.edu/flipbook and http://soonerway.ou.edu<http://soonerway.ou.edu/> for more information. Within an easy commute, Oklahoma City features a dynamic economy and outstanding cultural venues adding to the region’s growing appeal. Qualifications Successful candidates must have the interest and ability to contribute significantly to the advancement of these fields and develop a nationally recognized program of sponsored research; teach at both the undergraduate and graduate levels; supervise graduate students and postdoctoral fellows. A Ph.D. in computer science, engineering, or related discipline is required. Application Instructions Confidential review of applications will begin October 1, 2022. Candidates are invited to submit a letter of interest, names of three references who will be contacted only upon approval from the applicant, curriculum vitae, and brief (~2-3 pages) statements of interest regarding 1) research, 2) teaching, and 3) service. The research statement should summarize your prior contributions to research and your goals for developing a research program at OU. The teaching statement should summarize past instructional and mentorship experiences, and plans/goals for teaching at OU (including existing and proposed courses) and advising a varied cohort of undergraduate and graduate students. The service statement should describe your vision for internal service to the academic unit, the College and the University, and for external service to our scientific community and other stakeholders. Candidates are requested to submit their applications to the appropriate position listed above and inquiries should be directed to the search committee chairs, also listed above. Inquiries should be directed to the search committee chair: Dr. David S. Ebert, Gallogly Chair Professor School of Electrical and Computer Engineering and School of Computer Science Associate Vice President of Research and Partnerships Director, Data institute for Societal Challenges University of Oklahoma Email: ebert(a)ou.edu<mailto:ebert@ou.edu> Equal Employment Opportunity Statement The University of Oklahoma, in compliance with all applicable federal and state laws and regulations does not discriminate on the basis of race, color, national origin, sex, sexual orientation, genetic information, gender identity, gender expression, age, religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes, but is not limited to:  admissions, employment, financial aid, housing, services in educational programs or activities, or health care services that the University operates or provides. Diversity Statement   The University of Oklahoma is committed to achieving a diverse, equitable and inclusive university community by recognizing each person's unique contributions, background, and perspectives. The University of Oklahoma strives to cultivate a sense of belonging and emotional support for all, recognizing that fostering an inclusive environment for all is vital in the pursuit of academic and inclusive excellence in all aspects of our institutional mission. Mission of the University of Oklahoma The Mission of the University of Oklahoma is to provide the best possible educational experience for our students through excellence in teaching, research and creative activity, and service to the state and society. Dr. David S. Ebert, Gallogly Chair Professor of ECE and CS Associate Vice President of Research and Partnerships Director, Data Institute for Societal Challenges (DISC) University of Oklahoma Vice President for Publications, IEEE Computer Society 5 Partners Place 201 Stephenson Pkwy, Ste 4600 Norman, OK 73019 ebert(a)ou.edu<mailto:ebert@ou.edu>

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Two Postdoc Positions in Visual Analytics, Data Science and Trustable AI at University of Oklahoma
by Ebert, David 11 Oct '22

11 Oct '22

We invite applications for two postdoctoral researchers in visual analytics, data science, machine learning, trustable AI, social media analytics, and big data analytics across a wide spectrum of application areas. We are the OU Data Science Institute for Societal Challenges (DISC Center). The DISC Center is a campus-wide institute in the Vice President for Research and Partnerships office. Our mission is to empower transdisciplinary research and collaboration to drive convergent solutions to societal challenges in Oklahoma, the nation, and the world through data science research, tools and capabilities.  The Data Institute for Societal Challenges convenes diverse teams to collaborate to solve some of the world’s most pressing problems and achieve a lasting societal impact. These communities are: * Foundational Data Science * Community and Societal Transformation * The Future of Health * Environment, Energy, and Sustainability * Aerospace, Defense and Global Security DISC works closely with local and international collaborators, including social media experts, sustainability experts, agricultural producers, health and public safety researchers, economists, first responders, computational scientists, businesses, and researchers in science, engineering, and economics. Both beginning and senior postdoctoral candidates are encouraged to apply. Excellent oral and written communication skills are mandatory. For more information, please send your CV and a one-page research statement to Dr. David Ebert (ebert(a)ou.edu<mailto:ebert@ou.edu>) or Dr. Gopichandh Danala (danala(a)ou.edu<mailto:danala@ou.edu> ). Applications will be reviewed on a rolling basis until the positions are filled. If you are attending IEEE VIS, let’s meet and discuss! David Dr. David S. Ebert, Gallogly Chair Professor of ECE and CS Associate Vice President of Research and Partnerships Director, Data Institute for Societal Challenges (DISC) University of Oklahoma Vice President for Publications, IEEE Computer Society 5 Partners Place 201 Stephenson Pkwy, Ste 4600 Norman, OK 73019 ebert(a)ou.edu<mailto:ebert@ou.edu>

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