- Infovis - infovis.org

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>

1 0

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.

1 0

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.

1 0

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>

1 0

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>

1 0

EuroVis 2023 - Call for State of the Art Reports, Deadline for sketches: October 21, 2022
by Turkay, Cagatay 06 Oct '22

06 Oct '22

Dear colleagues, With this call, we invite submissions of high-quality State of the Art Reports (STAR) to be presented at the EuroVis 2023 conference (https://www.eurovis.org/) and published in the Computer Graphics Forum journal<https://onlinelibrary.wiley.com/journal/14678659>. The EuroVis 2023 conference will be held in Leipzig, Germany on June 12-16, 2023. The call for STARs is included below and further details are on the EuroVis webpage (https://conferences.eg.org/eurovis2023/for-submitters/stars/) The STAR submissions will 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 21, 2022** and we look forward to receiving your submissions, details below. For any questions, please contact us at stars(a)eurovis.org Best wishes, Renata, Stefan & Cagatay EuroVis 2023 - Call for State of the Art Reports (STARs) 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 [1,2]. 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 21, 2022 (two pages, +references, +bibliography) Invitation for full STAR submission: November 18, 2022 Submission of full STAR: February 3, 2023 Review notification: Mar 24, 2023 Second round submission: April 21, 2023 Second review notification: May 5, 2023 Camera-ready deadline: May 19, 2023 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. Submission of the STAR Sketch and full report is mandatory and will be conducted using the Precision Conference System (PCS<https://new.precisionconference.com/submissions/eurovis21c>). For detailed paper preparation and submission instructions please refer to the submission guidelines below. Upon acceptance, we aim to schedule each STAR as an approximately 45 minute presentation (subject to the schedule management of the EuroVis 2023 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 Renata G. Raidou, TU Wien, Austria For any questions concerning State-of-the-Art Report submissions please contact the STAR chairs at stars(a)eurovis.org. Further details of the conference and the call can be accessed here: https://conferences.eg.org/eurovis2023/for-submitters/stars/

1 0

Faculty positions at Georgia Tech
by John Stasko 04 Oct '22

04 Oct '22

The School of Interactive Computing at Georgia Tech is seeking, among other areas, new faculty specializing in Data Visualization or Visual Analytics this upcoming year. The relevant line from our hiring description states, "We seek applications in the broader areas of Graphics; Artificial Intelligence and Machine Learning (including but not limited to Theory, Computer Vision, and Natural Language Processing); Social Computing; Social Justice, Ethics and Fairness; Data Visualization; Sustainability; and Augmented and Virtual Reality." 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. Applications will be evaluated on a rolling basis starting October 1, 2022, and we definitely encourage earlier applications. Additionally, please feel free to speak with Alex Endert and/or John Stasko who will be attending VIS '22 in Oklahoma City, in order to learn more about the openings.

1 0

Talent Hiring Round for Visual Analytics Product | Developers for GraphPolaris
by Michael Behrisch 03 Oct '22

03 Oct '22

Dear VIS community, This mailing list is typically used for sharing academic updates and job openings. In this post, however, it is all about giving a finishing PhD., master student, or (in general) VIS-interested person the opportunity to stay a valuable member in our community. Please, help us to spread the word for finding a research engineer/developer for our academic spin-off GraphPolaris (www.graphpolaris.com) Also, if our core topic (multivariate/multi-layer or knowledge graph analysis) sparks your interest, I would be happy to discuss potential use-cases and/or application-scenarios. With best regards, Michael Behrisch and Remco Chang ============================= Dear all, With this email, I would like to steer your attention to a unique job opportunity and advertise a potentially interesting next step and career entrance opportunity in the ‘GraphPolaris Developer Hiring Round 2022’. Our academic spin-off GraphPolaris (www.graphpolaris.com <http://www.graphpolaris.com>) is searching for *Front-end/Full-Stack DEVELOPERs who strive with us to remove the frustration and uncertainty of the analysis of complex network datasets*. We firmly believe that data analysis processes should be (more) centered around the person who does the analysis or makes the business decisions. A human-centered approach will inevitably lead to more, better, and more sustainable innovations in business and societal settings. Shape Description automatically generated *How and What:*In GraphPolaris, we combine the creativity and common knowledge of the human with the number-crunching capabilities of the machine and *make insights visible, explainable, and auditable through visual interactive analysis interfaces*. Our main product, the Graph Database Explorer, is the logical first manifestation of this credo: We are building a visual graph analytics framework that focuses on easy, explainable, and efficient access to (multivariate) graph databases with better visualization support and a ready-to-use graph ML toolbox. Our unique selling points are (1) a full-fledged, dedicated graph analysis workflow that starts with questions around data quality and schema consistency, evolves (2) around an intuitive query formulation in a no-code visual query editor, and lets the user loop effortlessly through query-refinement and interactive exploration of (3) better visualization techniques than just node-link diagrams. *Who we are:*GraphPolaris was founded by Dr. Michael Behrisch and Prof. Remco Chang. Michael is a Professor for Visual Analytics at the Utrecht University, driven by the motivation to bring good Visualization and Visual Analytics research results into environments (business, public sector, research) where they can make an impact. Michael is experienced in managing and acquiring research projects and worked for six years as a business analyst (startup & technical innovation research for Deutsche Telekom). He coordinates the GraphPolaris team effort, market assessment, outreach tasks, and manages tasks for knowledge transfer activities. Remco Chang is a Professor for Visual Analytics at the Tufts University in Medford, USA, whose research embodies the concept of letting human analysts steer the processing power of the PC through visual interactive interfaces to accomplish explainable, faithful, and usable data analysis results. Remcohas a track record of various high-profile international research grantsand gained startup experience with the Kyrix visualization system in the team of Mike Stonebraker (Touring award winner, Ingres/Postgres). *Where we are: *We are in a seed stage of our startup life, have several MVPs, and concluded a target customer/market analysis. We have received the NWO Takeoff grant for feasibility and initial market studies, the Google Startup Cloud Grant for hosting and operational expenses, and now proudly received the NWO Demonstrator grant for proving Product-Market-Fit. *What we search for: *The task descriptions for this position are manifold, but one requirement is foremost: *We are searching for someone who can breath our vision and understands its impact.* Consider applying if: ·… you have excellent *coding skills* /(must//-haves//: web//or//full stack skills)/and love solving challenging and societally impactful problems. ·… you have *(software) architecture skills* /(nice-to-haves: understanding of Kubernetes and microservice patterns)/ to improve our scalable infrastructure even further. ·… you areinterested in *visual data analytics***/(e.g., with mapbox, deck.gl, pixi//.js, d3.js//)/to improve or design state-of-the-art visual solutions and workflows. ·… you have worked with *graph databases* /(e.g., //with //Neo4j//’s cypher//, Tigergraph//’s GSQL//, or SPARQL)/to store and retrieve multivalue property graph data. *What:*We are searching for full-time developers (1FTE, 38h/week), part-time contracts with more than 20h/week can be requested. Typical hiring conditions under CAO apply. Work will happen in a hybrid setting, fully online is also possible. *How:*Send a personal and engaging motivation letter. State your prior experience, indicate your background and skills, and name potential open-source projects that you have contributed to (and how). *When:*Please send your application documents by 31.10.2022 to info(a)graphpolaris.com <mailto:info@graphpolaris.com>. Also feel free to get in touch with me (Michael Behrisch, m.behrisch(a)uu.nl <mailto:m.behrisch@uu.nl>) personally in case of unclarities or questions. Let’s change the world of graph analytics! Dr. Michael Behrisch (http://michael.behrisch.info <http://michael.behrisch.info>) -- <https://vig.science.uu.nl/> Skype <skype:cojack20?call>Twitter <https://twitter.com/michaelbehrisch>LinkedIn <https://www.linkedin.com/in/michael-behrisch-89144710/>Scholar <https://scholar.google.com/citations?user=12Bl2VgAAAAJ&hl=en>Scholar <https://www.researchgate.net/profile/Michael_Behrisch> Dr. Michael Behrisch | Assistant Professor m.behrisch(a)uu.nl <mailto:m.behrisch@uu.nl> +31 (0)687 110577 Princetonplein 5 | 3584 CC Utrecht http://michael.behrisch.info <http://michael.behrisch.info/>

1 0

AIXRLES - Workshop on AI & XR for learning, education, and serious gaming
by Hürst, W.O. (Wolfgang) 01 Oct '22

01 Oct '22

================================ AIXRLES - Workshop on AI & XR for learning, education, and serious gaming part of IEEE AIVR 2022, https://mislab.cs.nthu.edu.tw/AIXRLES/ December 12-14, 2022 (online plus on-location satellite events) ================================ In recent years, artificial intelligence (AI), virtual reality (VR) and augmented reality (AR) have started to become widely used in learning and education. This workshop aims to provide an interdisciplinary platform for researchers to discuss their AI and VR/AR-related work in the context of learning, education, and serious gaming from both scientific and educational perspectives. The topics of this workshop include, but are not limited to analyses and applications of the following areas: + Simulations and serious games for learning,education and training. + Immersive sports training and exercising. + Intelligent tutoring systems. + AI-based learning performance monitoring and evaluation. + Behavior analysis in the context of training and learning. + AI models of gaze analysis, emotion analysis, and mental states analysis. + Learning/training data visualization and analysis in XR. + Development of new application scenarios and new prospects utilizing AI and/or XR in the context of learning. *SUBMISSIONS* We invite researchers and practitioners to submit their work in the form of a scientific technical paper or an application- or use-case centered paper. *Technical papers* should be 4-8 pages long (excluding references) and describe original research of new ideas, analyses, or scientific studies related to AI/XR and learning. Preliminary results or prototype implementations are welcome as well. *Application papers* should be 2-6 pages long (excluding references) and do not necessarily have to contain original research, but can, for example, describe best practices, new usage scenarios, and creative ideas of AI and XR usage in learning, training and education. Accepted papers will be published and archived in the IEEE Xplore Digital Library. *IMPORTANT DATES* + Paper submission deadline: October 16, 2022 + Acceptance notifications: October 24, 2022 + Camera-ready paper deadline: October 31, 2022 + Conference: December 12-14, 2022 For submission details please refer to the workshop's website at https://mislab.cs.nthu.edu.tw/AIXRLES/ *VENUE & DATES* The workshop will take place during the IEEE AIVR conference (Dec 12-14, 2022). Due to the ongoing COVID pandemic and expected travel restrictions, the event will be held virtually. If feasible, it will be complemented with on-location satellite events (ideally at least one in the US, Europe, and Asia). Details about these satellite events will be posted on the IEEE AIVR website.

1 0

Doctoral Position in Data Science/Machine Learning
by Viktoria Schildhammer 29 Sep '22

29 Sep '22

The Research Network “Data Science @ Uni Vienna” invites applications for a doctoral position in the field of Machine Learning with applications for training load management in top-level sports We are looking for candidates with a strong background in statistics, particularly machine learning, good programming skills in R and/or Python and experience in visualization and visual data analysis. Candidates should have a master’s degree preferably in data science, statistics, mathematics, computer science or related fields with strong quantitative orientation. We offer a pleasant work environment within a friendly, dynamic and international team, being placed in a city with the world-wide highest living quality. The candidate will work in the project “Artificial Intelligence in Rowing” (AIROW), a highly innovative and interdisciplinary project on the interface between statistics, computer science and sports sciences. This project will bring together methodological competence in data science with current developments in sport sciences as well as technological progress in wearables and medical diagnostics in order to optimize training load of top athletes in endurance sports, such as rowing, swimming, triathlon or running. We will collect and process „big data“ from training and performance processes of individual athletes and will use state-of-the-art machine learning technology in order to quantify the training workload, to predict the effect of training impulses and to optimize training management. For more details, see https://airow.univie.ac.at. Contracts for doctoral students are limited to 4 years. Doctoral applications should include (i) a curriculum vitae, (ii) a transcript of completed courses and grades (iii) a letter of motivation, and (iv) three recommendation letters. Salary in accordance with collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) with relevant work experience determining the assignment to a particular salary grade. Candidates should send all application material in a single pdf or zip file to Viktoria Schildhammer (viktoria.schildhammer(a)univie.ac.at) The recommendation letters should be sent by the reviewers directly to Viktoria Schildhammer (viktoria.schildhammer(a)univie.ac.at) Deadline: 01.11.2022 Knowledge of German is an asset, but not required. The University of Vienna is an equal opportunity employer and aims at increasing the number of female faculty members. Therefore, in particularly, qualified women are encouraged to apply. Information about the Research Network “Data Science @ Uni Vienna” can be found at https://datascience.univie.ac.at. If you need further information regarding the position, please, contact Professor Nikolaus Hautsch (nikolaus.hautsch(a)univie.ac.at)

1 0