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@graphpolaris.com <mailto:info@graphpolaris.com>. Also feel free to get in touch with me (Michael Behrisch, m.behrisch@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@uu.nl <mailto:m.behrisch@uu.nl> +31 (0)687 110577 Princetonplein 5 | 3584 CC Utrecht http://michael.behrisch.info <http://michael.behrisch.info/>