August 2026 - SIPTA News - lists.sipta.org

SIPTA Mailing List

by Felicity Davie

Royal Society Publishing has recently published an OPEN ACCESS theme issue of Philosophical Transactions A under the 'Subscribe to Open' 2026 initiative: Advancing uncertainty quantification in AI systems compiled by K Nguyen, R Barber, V Copley, A Gammerman, V Vovk & J Ziegel and the articles are FREE to access at www.bit.ly/TransA2327<http://www.bit.ly/TransA2327> A print version is also available at the special price of £40.00 per issue from sales(a)royalsociety.org ----------------------------- Felicity Davie Royal Society Publishing T +44 20 7451 2647 The Royal Society 6-9 Carlton House Terrace London SW1Y 5AG http://royalsocietypublishing.org Registered Charity No 207043

Aug. 28, 2026

Transferring a tenure-track opportunity at Centrale-Supelec (Paris Saclay)

by Sebastien Destercke

Dear Colleagues, A tenured professor position is open at Centrale-Supelec, on resillient large-scale systems. Profiles working on robust optimisation and a mix of learning/optimisation are welcomed. Best Sébastien > Begin forwarded message: > > From: "Vincent Mousseau" (via gdrro Mailing List) <gdrro(a)services.cnrs.fr> > Subject: [RO] Fwd: Chaire CPJ - Listes RAODEF et GDRMACs > Date: 27 August 2026 at 09:40:13 CEST > To: gdrro(a)services.cnrs.fr > Reply-To: Vincent Mousseau <vincent.mousseau(a)centralesupelec.fr> > > > 🚀 Faculty opportunity in Critical Infrastructure Resilience and Optimization > > We open a Junior Professorship (Chaire de Professeur Junior, CPJ) at CentraleSupélec - Paris-Saclay University Research Center. After 5 years and a positive final evaluation, the position holder is promoted to a permanent full professor position. > > Deadline for application: September 21. > > Link for application is: https://lnkd.in/duEHq7Q5 <https://www.linkedin.com/safety/go/?url=https%3A%2F%2Flnkd%2Ein%2FduEHq7Q5&…> > > Link for full job description (French + English): https://lnkd.in/dpfpuk9D <https://www.linkedin.com/safety/go/?url=https%3A%2F%2Flnkd%2Ein%2Fdpfpuk9D&…> > > The research is expected to address resilience issues in large-scale systems, although prior experience with this specific application domain is not a prerequisite. During the recruitment process, we will primarily emphasize methodological expertise in one or more of the following areas: > - Risk-averse optimization: robust, stochastic, and distributionally robust optimization formulations for managing extreme events, cascading failures, and deep uncertainty in large-scale networks. > - Learning and optimization: data-driven models, analytics ranging from predictive to prescriptive, and hybrid approaches combining machine learning with exact optimization methods for decision-making in dynamic environments. > - Scalable algorithm design: decomposition techniques, distributed algorithms, and sequential decision-making methods to address the combinatorial complexity of large-scale socio-technical systems. > - Explainable prescriptive analytics: counterfactual analysis, sensitivity analysis, and explainable AI to ensure transparent, reliable, and practically adoptable decision-support tools. > > The successful candidate will join the Laboratoire de Génie Industriel (Industrial Engineering Laboratory) at CentraleSupélec, within the R3 (Risk, Resilience and Reliability) research team. The position will also include teaching in English within CentraleSupélec's Industrial Engineering and Operations Department. > > The package is expected to include funding to support the development of the research activity (PhD student and additional resources). > > Ideal candidates will have an experience in leading research projects, supervising students, and developing international collaborations will be considered a strong asset. The position is well suited for outstanding postdoctoral researchers or faculty members at an early stage of their independent career who have the ambition to build an internationally visible research program. > > If you - or someone in your network - could be interested, please feel free to contact anne.barros(a)centralesupelec.fr <mailto:anne.barros@centralesupelec.fr> or yiping.fang(a)centralesupelec.fr <mailto:yiping.fang@centralesupelec.fr> or guillaume.lame(a)centralesupelec.fr <mailto:guillaume.lame@centralesupelec.fr> for an informal discussion. > > > ---- > > Ce mail a été diffusé par l'intermédiaire de la Liste RO du GDR ROD > https://gdrrod.grenoble-inp.fr

Aug. 27, 2026

2027 IEEE Symposium Series on Computational Intelligence : deadline extended

by Kreinovich, Vladik

FYI, papers using imprecise probabilities are always welcome at this series of conferences *** From: IEEE Computational Intelligence Society (CIS) <ieee-cis(a)deliver.ieee.org<mailto:ieee-cis@deliver.ieee.org>> Sent: Thursday, August 13, 2026 1:31 PM To: Kreinovich, Vladik <vladik(a)utep.edu<mailto:vladik@utep.edu>> Subject: More Time to Submit: SSCI 2027 Deadline Extended to 10 September Share your latest advances in computational intelligence at IEEE SSCI 2027 on Australia's Gold Coast. We are pleased to announce that the paper submission deadline for the 2027 IEEE Symposium Series on Computational Intelligence (SSCI 2027) has been extended. New Submission Deadline: 10 September 2026 As one of the IEEE Computational Intelligence Society's flagship conferences, SSCI 2027 offers a premier forum for researchers, practitioners, and industry professionals to share advances in computational intelligence and explore emerging technologies shaping the future. Advance the Future of Computational Intelligence SUBMIT YOUR PAPER TODAY Why Submit to SSCI 2027? * Present your latest research to an international audience * Connect with leading researchers and practitioners * Network with the global computational intelligence community * The 2027 event continues the restructured biennial Symposia Series featuring ten dedicated Applied Computational Intelligence Symposia Event Details IEEE SSCI 2027 will take place 14-17 February 2027 in the stunning Gold Coast, Queensland, Australia. Widely recognized for fostering the exchange of cutting-edge theories, algorithms, and real-world applications, SSCI provides an unparalleled forum for collaboration, innovation, and discovery. If you have been finalizing your research, this extension provides additional time to prepare and submit your work. We encourage members of the computational intelligence community to take advantage of this opportunity and contribute to a vibrant technical program. Submit your paper before 10 September 2026 and be part of the conversations shaping the future of Computational Intelligence. * Call for Papers https://attend.ieee.org/ssci-2027/submissions/call-for-papers/ * Submission Instructions https://attend.ieee.org/ssci-2027/submissions/instructions/ * Conference Website https://attend.ieee.org/ssci-2027/ Follow Us for SSCI 2027 Updates Stay up to date with conference announcements, deadlines, and program highlights by following IEEE CIS on social media. We look forward to welcoming you to IEEE SSCI 2027 on the Gold Coast. Best regards, IEEE Computational Intelligence Society

Aug. 13, 2026

W2 Professorship on "Data-Centric Engineering in Production and/or Logistics

by Faes, Matthias

Dear Colleagues, The Department of Mechanical Engineering at TU Dortmund University is currently inviting applications for a professorship position: Position: Professorship (W2) Data-Centric Engineering in Production and/or Logistics Research Focus: Methodology development in artificial intelligence and/or scientific computing applied to data-centric engineering in production and/or logistics. Location: TU Dortmund University, Germany Application Deadline: September 9, 2026 Details & Online Portal: berufung.tu-dortmund.de/en/application Please find the official job announcement attached to this email. We would greatly appreciate it if you could share this announcement within your networks or forward it to qualified candidates. For informal inquiries, please contact the Dean of the Department of Mechanical Engineering, Prof. Dr. Moritz Schulze Darup (dekanat.mb(a)tu-dortmund.de) Best regards, Univ.-Prof. Dr. Matthias Faes ======================================================================== Liebe Kolleginnen und Kollegen, der Fakultät Maschinenbau der Technischen Universität Dortmund schreibt derzeit eine Professur aus: Stelle: Professur (W2) „Datenzentriertes Engineering in der Produktion und/oder Logistik“ Forschungsschwerpunkt: Methodenentwicklung im Bereich der künstlichen Intelligenz und/oder des wissenschaftlichen Rechnens mit Anwendung auf datenzentriertes Engineering in der Produktion und/oder Logistik. Standort: TU Dortmund, Deutschland Bewerbungsschluss: 9. September 2026 Details & Online-Portal: berufung.tu-dortmund.de/en/application Die offizielle Stellenausschreibung finden Sie im Anhang dieser E-Mail. Wir würden uns sehr freuen, wenn Sie diese Ausschreibung in Ihren Netzwerken teilen oder an geeignete Kandidaten weiterleiten könnten. Für informelle Anfragen wenden Sie sich bitte an den Dekan des Fachbereichs Maschinenbau, Prof. Dr. Moritz Schulze Darup (dekanat.mb(a)tu-dortmund.de) Mit freundlichen Grüßen, Univ.-Prof. Dr. Matthias Faes

Aug. 6, 2026