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🎓 Present & Publish your work at COMPLEX NETWORKS 2026

by Fabian Braesemann

Dear colleagues, This December in Granada, Spain, we bring together a full academic experience: sharpen your skills in expert-led tutorials, present your research to a global audience, and get invited to publish in top journals. 🎤 Keynote Speakers: * Alexandra Brintrup (Cambridge University, UK) * Nitesh Chawla (University of Notre Dame, USA) * Kimmo Kaski (Aalto University, Finland) * Bruno Lepri (Bruno Kessler Foundation, Italy) * Eckehard Scholl (TU Berlin, Germany) 🎓 Tutorials by: * Fariba Karimi (Graz University of Technology, Austria) * Huijuan Wang (TU Delft, Netherlands) ________________________________ 🚀 Be part of what’s next. Submit your work to COMPLEX NETWORKS 2026, held in Granada, Spain, from December 2 to 4, 2026. 📌 Important Dates * Submission Deadline: September 2, 2026 * Tutorials: December 1, 2026 * Conference: December 2-4, 2026 📖 Submission Options * ✅ Full Papers (max 12 pages) – Springer Proceedings Publication * ✅ Extended Abstracts (max 4 pages) – Book of Abstracts with ISBN 🏆 Selected papers will be invited to journals including: * Applied Network Science<https://appliednetsci.springeropen.com/> * Advances in Complex Systems<https://www.worldscientific.com/toc/acs/24/02> * Complex Systems <https://www.complex-systems.com/about/> * Entropy<https://www.mdpi.com/journal/entropy> * PLOS Complex Systems<https://journals.plos.org/complexsystems/> * PLOS one<https://journals.plos.org/plosone/> * Social Network Analysis and Mining<https://link.springer.com/journal/13278> 📩 Submit your paper <https://cmt3.research.microsoft.com/COMPLEXNETWORKS2025/>🌐 More info<https://complexnetworks.org/> We look forward to your contribution to this dynamic community! Warm regards, The COMPLEX NETWORKS 2026 Committee

April 22, 2026

neuromorphic / spiking neural network position starting Oct 2026 for 36 months

by Goodman, Dan

We are hiring for a research assistant or postdoc to do energy efficient AI, spiking neural networks and neuromorphic computing, with me, Christos Bouganis and George Constantinides at Imperial College London. Deadline for applications is May 15th. Feel free to email me informally, or apply at the link below. https://www.imperial.ac.uk/jobs/search-jobs/description/index.php?jobId=276… Some more details below (also at the link above). Dan Goodman About the role We are seeking a Research Assistant (a Masters graduate wanting to undertake a PhD) or Research Associate (a PhD graduate wanting to undertake a postdoc). Our aim is to explore new approaches to energy-efficient artificial intelligence based on temporal neural computation. The project investigates how spiking neural networks, temporal coding, and learned neural delays can enable accurate computation with extremely low-precision weights, potentially unlocking a new generation of ultra-efficient AI hardware. Working at the intersection of machine learning, computational neuroscience, and digital hardware design, the successful candidate will contribute to developing neural architectures in which time (spike timing and delays) replaces numerical precision and memory movement as the key computational resource. The project will combine algorithm development with hardware-aware modelling and evaluation on FPGA-based platforms. The successful candidate will have the opportunity to help define new approaches to temporal neural computation and energy-efficient AI. This role provides an exciting opportunity to work on fundamental questions in neuromorphic and energy-efficient AI, while developing techniques that could translate into future AI accelerators and edge-AI technologies. The role will be affiliated with NeuroWare, the new national Innovation and Knowledge Centre in Neuromorphic Computation, providing the post-holder access to a rich network of industrial and academic collaborators and routes to direct impact. Pre-doctoral candidates are strongly encouraged to apply. Candidates appointed as Research Assistant will have the opportunity to register for a PhD during the appointment, subject to standard university procedures. What you would be doing In this role, you will investigate neural architectures that exploit temporal coding and learned delays to enable efficient computation on digital hardware. You will develop and evaluate spiking neural network models, explore training methods for delay-based computation, and analyse how temporal representations trade off with weight precision and memory usage. You will primarily be collaborating with three Imperial College academics: Prof Christos Bouganis, Prof George A. Constantinides and Dr Dan Goodman, who each bring leading expertise relevant to this research programme. You will implement models in software frameworks for neural simulation and machine learning, and work with hardware-aware efficiency metrics to evaluate energy, memory, and latency trade-offs. The project will also involve exploring how these architectures map to digital hardware platforms, including FPGA-based systems.

April 22, 2026

2026 NEURON Summer Course - limited seats remain available

by McDougal, Robert

Some seats remain available for the 2026 NEURON Summer Course, but they're going fast so act quickly if you are interested. This course will provide a thorough introduction to computational modeling of neurons and networks with NEURON and is suitable for individuals at all levels of expertise. It will be held at Duke University in Durham, NC from Wednesday, June 10, through Monday, June 15, 2026. The registration deadline is Monday, June 1, 2026. No applications will be accepted after that date, and there will be no on-site registration. Space is limited, and applications will be considered in the order received. For more information and the on-line registration form, see 2026 NEURON Summer Course at https://github.com/neuronsimulator/nrn/discussions/3729

April 22, 2026

Funded PhD Position - Moral psychology and decision-making in human-robot collaboration

by Milan Andrejevic

Psychology Discipline and Robotics Institute at the University of Technology Sydney in Australia are offering a fully funded PhD position for interdisciplinary research into using computational models to improve human-robot collaboration. Project description Collaboration between humans and robots is rapidly increasing, creating a need to understand how emerging intelligent capabilities shape human moral cognition, the emergence of new norms, and the distribution of responsibility within human-robot teams, and how these changes in turn shape human judgement and decision making. Successful candidate will have access to cutting edge robotics facilities and collaborate with robotics engineers to conduct research. This will entail: * developing measurement tools, experimental designs, and innovative psychological tasks; * reviewing literature in the field of moral psychology, cognitive science, human-robot interaction, artificial intelligence, robotics, decision science, and other relevant fields; * planning, administering, and running studies with human participants; * applying a variety of quantitative data analysis approaches; * working in multidisciplinary teams; * communicating research to a variety of stakeholders and the academic community; * preparing manuscripts for publication in leading multidisciplinary and psychological science journals. Successful candidate will gain a broad set of interdisciplinary skills in an area poised to have a transformative societal impact. This experience will position candidates as contributors in shaping the future of artificial intelligence technology in an increasingly automated world. The project will be supervised by Dr Milan Andrejevic, a Lecturer in Psychology, and Dikai Liu, a Distinguished Professor in Robotics from the University of Technology Sydney. Candidate requirements: * Honours or Masters degree in: Psychology, Cognitive Science, Neuroscience, and a good grasp of statistics OR other related and relevant discipline and a strong interest in psychological science; * Experience with quantitative methods and experimental psychology approaches; * Excellent academic writing skills; * Experience with, and/or willingness to learn coding and using statistical software (R, Matlab, Python, and/or alike); * Willingness to learn mathematical / computational models of human cognition; * Demonstrated work ethic. Also desirable: * A record of contributing to academic publications; If you would like to apply for this project, please send your CV and Research Proposal to Milan Andrejevic (Milan.Andrejevic(a)uts.edu.au) and Dikai Liu (dikai.liu(a)uts.edu.au) Links: PhD position description<https://sites.google.com/uts.edu.au/coghumrobophdadvert/project-description…> University of Technology Sydney<https://www.uts.edu.au/> Psychology Discipline<https://www.uts.edu.au/about/faculties/health/graduate-school-of-health/psy…> Robotics Institute<https://www.uts.edu.au/research/robotics-institute> Dr. Milan Andrejevic<https://profiles.uts.edu.au/Milan.Andrejevic> Dist. Prof. Dikai Liu<https://profiles.uts.edu.au/Dikai.Liu> - Dr. Milan Andrejević (he/him) Lecturer Psychology | Graduate School of Health University of Technology Sydney +61 2 9514 4126 Level 10, 100 Broadway, Chippendale NSW 2008 I acknowledge the Gadigal People of the Eora Nation upon whose ancestral lands we work and gather at UTS, and their traditional custodianship over knowledge for this land. I pay my respects to their Elders past and present. UTS CRICOS Provider Code: 00099F DISCLAIMER: This email message and any accompanying attachments may contain confidential information. If you are not the intended recipient, do not read, use, disseminate, distribute or copy this message or attachments. If you have received this message in error, please notify the sender immediately and delete this message. Any views expressed in this message are those of the individual sender, except where the sender expressly, and with authority, states them to be the views of the University of Technology Sydney. Before opening any attachments, please check them for viruses and defects. Think. Green. Do. Please consider the environment before printing this email.

April 22, 2026

CFP - Simulation of Adaptive Behavior (SAB 2026)

by Jeffrey L Krichmar

Dear Colleagues, Deadline for full paper submissions is less than a month away! Please consider submitting a paper and attending SAB 2026 Best regards, Jeff and Oliver ----------------------------------------------------------------------------------------------------------------------------------------------------- From Animals to Animats 18: The 18th International Conference on Simulation of Adaptive Behavior (SAB 2026) Where: TU Berlin, Germany When: 19-22 October 2026 Website: https://www.sab-conference.org <https://urldefense.com/v3/__https://www.sab-conference.org__;!!CzAuKJ42Guqu…> Important Dates Submission deadline: 15 May 2026 Notification of acceptance:19 June 2026 Camera-ready paper version due: 17 July 2026 Conference takes place: 19-22 October 2026 Objectives: The interdisciplinary conference on the Simulation of Adaptive Behavior: From Animals to Animats (SAB) 2026 brings together researchers from artificial intelligence, robotics, behavioral biology, psychology, neuroscience, and many other fields. The conference offers a unique opportunity to exchange ideas across disciplinary boundaries. We believe this exchange is necessary to advance our understanding of the mechanisms that enable general and robust behavior in natural animals and artificial agents. The conference focuses on characterizing and comparing organizational principles and architectures underlying adaptive behavior in animals and animats. Animats denote the conceptual connections between animals and synthetic agents. The conference therefore actively seeks submissions that bridge several of the aforementioned disciplines, combining their methodological foundations to arrive at novel insights and approaches. Of particular interest are research projects which connect natural behavior to synthetic agents, including those leveraging modern machine learning and deep learning techniques for behavioral modeling, analysis, and synthesis. Selected papers will be invited to a special issue in the journal Adaptive Behavior and will be published with Springer Nature. SAB accepts submissions in several tracks: - Conference papers are peer-reviewed. Accepted papers will be published in conference proceedings “From Animals to Animats 18: SAB 2026” Lecture Notes in Artificial Intelligence, Springer Nature. - Conference papers without inclusion in the proceedings. These papers will undergo a light peer-review. Papers will be included on the conference website but they will not be formally published so that your research results can still appear in your disciplinary journals. - Poster abstracts are peer-reviewed for general suitability of the content. Accepted posters will be presented at a poster session and, time permitting, will be able to present a spotlight presentation to the conference attendees. - Position papers are peer reviewed; they offer a novel, visionary perspective on the convergence of different branches of behavior-based research in both artificial and biological systems. These papers are supposed to trigger a lively discussion. - Workshop or Tutorial proposals will be peer reviewed. Workshops and Tutorials will take place on September 20. The event should be relevant to the expected audience of SAB. Topics of interest: Artificial Intelligence, Artificial Life, and Computational neuroscience o Action selection, behavioral sequencing o Communication and language o Emotion and motivation o Internal models and representations o Reinforcement learning o Sensory-motor coordination, motor control o Software agents and virtual creatures Philosophical Issues o Consciousness o Ethics o Mind/Body problem Robotics o Autonomous robotics o Bio-inspired and hybrid robotics o Cognitive robotics o Developmental robotics o Humanoid robotics o Navigation and mapping o Neurorobotics Self-Organizing Systems o Body and brain co-evolution o Collective and social behavior o Dynamical systems approaches o Evolutionary and co-evolutionary approaches o Self-assembling and self-replication Paper and Abstract Submission: Author Guidelines for All Tracks All submissions must be written in English and formatted in the Springer LNCS style. Please refer to the LNCS Springer style guide for style templates and formatting instructions. We strongly encourage authors to prepare papers using LaTeX. The LNCS package for LaTeX and the instructions file can be downloaded directly from Springer’s website. https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… <https://urldefense.com/v3/__https://www.springer.com/gp/computer-science/ln…> Additional Guidelines for Conference and Position Papers All submitted papers (conference papers with and without inclusion in the proceedings, as well as position papers) must not exceed 12 pages, including references. Additional Guidelines for Poster Abstracts All submitted poster abstracts must not exceed 3 pages, including references. How to Submit All submissions will be handled through the CMT (Conference Management Toolkit) system. Authors must create a CMT account before submitting their paper. (For instructions: https://sab2026.scioi.de/call-for-contributions/ <https://urldefense.com/v3/__https://sab2026.scioi.de/call-for-contributions…> ) Where to Submit SAB submission website (CMT) https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FSAB2026%2FSubmi… <https://urldefense.com/v3/__https://cmt3.research.microsoft.com/User/Login?…> Paper Review & Acceptance: All submitted full papers will be peer-reviewed based on relevance, originality, quality of presentation, and technical quality. The authors of all accepted papers are kindly requested to revise their papers following the reviewers’ comments. Authors of accepted papers will be invited to present their research work either as an oral presentation or as a poster. Workshop Tutorial Proposals: We will consider proposals for workshops and tutorials. Workshops and tutorials will be held on the first day of the conference (19 October 2025) and must be held in-person. Proposals will be reviewed by the Organizing Committee. To submit a workshop or tutorial, please follow the below template and submit here: https://cmt3.research.microsoft.com/SAB2026/Track/6/Submission/Create <https://urldefense.com/v3/__https://cmt3.research.microsoft.com/SAB2026/Tra…> Template Similar to paper submissions, please follow the LNCS Springer style guide for templates and formatting instructions. For your workshop or tutorial proposal, please include the following information, as displayed on our website. https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… <https://urldefense.com/v3/__https://www.springer.com/gp/computer-science/ln…> https://sab2026.scioi.de/call-for-contributions/ <https://urldefense.com/v3/__https://sab2026.scioi.de/call-for-contributions…> Publication: All accepted papers (oral and poster presentations) will be published by Springer Nature in the Lecture Notes in Artificial Intelligence series. https://link.springer.com/conference/sab <https://urldefense.com/v3/__https://link.springer.com/conference/sab__;!!Cz…> Program Committee: Francisco Javier Bellas Bouza – Universidade da Coruña Maren Bennewitz – Universität Bonn Marcel Brass – Humboldt-Universität zu Berlin Lola Cañamero – CY Cergy Paris Université Nikolaus Correll – University of Colorado Boulder Richard José Duro Fernández – Universidade da Coruña Heiko Hamann – Universität Konstanz Alex Kacelnik – University of Oxford Jens Krause – Humboldt-Universität zu Berlin Oliver Kroemer – Carnegie Mellon University Poramate Manoonpong – Vidyasirimedhi Institute of Science and Technology Justus Piater – Universität Innsbruck Tony Prescott – University of Sheffield Pawel Romanczuk – Humboldt-Universität zu Berlin Gregor Schöner – Ruhr-Universität Bochum Dylan Shell – Texas A&M University Gaurav Sukhatme – University of Southern California Jochen Triesch – Frankfurt Institute for Advanced Studies Elio Tuci – Université de Namur Myra Wilson – Aberystwyth University Florentin Wörgötter – Universität Göttingen Program Chairs: Oliver Brock – Technische Universität Berlin Jeff Krichmar – University of California, Irvine The conference will be held at Science of Intelligence/TU Berlin and the Universität der Künste (UDK), Berlin, Germany. We look forward to welcoming you at SAB 2026! Best regards, SAB Organizing Committee organisers(a)sab-conference.org <mailto:organisers@sab-conference.org>

April 21, 2026

Postdoc positions in statistical data analysis and computational neuroscience at NYU

by csavin＠gmail.com

Postdoctoral positions are available in the Savin group in the Center for Neural Science and Center for Data Science at NYU: https://www.savinlab.org/ For full consideration, please apply before June 1 2026. Applications will remain open until the positions are filled. We seek candidates with a solid mathematical background, strong programming skills and experience with computational modeling and/or data analysis who can engage with one of several projects in the group focused on understanding the computational principles and circuit level mechanisms underlying adaptive behavior, in partnership with several experimental collaborators (Constantinople lab at NYU, SCENE, Froemke and Lin labs as part of a new BBQS project analyzing mice social behavior). Qualifications: * PhD in Computational Neuroscience, machine learning or related fields. * Strong background in machine learning and programming (Python). * Of particular interest are candidates with previous research experience in probabilistic machine learning, statistical methods for neural data analysis, reinforcement learning. * Strong record of productivity as evidenced by past publications * Strong motivation & ability to work independently and collaboratively in a multidisciplinary environment. To apply, please email csavin(a)nyu.edu your CV, contact details of at least 2 references, and a brief (one page maximum) description of why are you interested in the position and how your expertise fits the call.

April 21, 2026

Summer School "Advanced tools for data analysis in Neuroscience"

by camille.gontier＠inria.fr

=========== Summer School "Advanced tools for data analysis in Neuroscience" =========== Research discoveries are increasingly dependent on the development of new tools and technologies, as well as on the ability to process, manage and analyze the large amounts of data collected with these tools. In this summer school, we will focus on several aspects of data preparation and analysis, as well as on the use of simulation and modeling tools capable of generating predictions. Target audience: master and PhD students. Priority will be given to students enrolled in a basic or medical neuroscience program, but students from other specialties will be able to participate as long as places are available. Information =========== When: Aug 27 – Sept 5 2026 Where: Strasbourg, France Part I: Introduction to Python Programming (Thursday-Friday August 27-28) Part II: School with lectures and student projects (Monday August 31st to Saturday September 5th) Local Organizing Committee =========== - Jyotika Bahuguna, LNCA, University of Strasbourg (coord) - Demian Battaglia, LNCA, University of Strasbourg (coord) - Camille Gontier, INRIA, University of Strasbourg (coord) - Romain Goutagny, CNRS, University of Strasbourg - Axel Hutt, INRIA, University of Strasbourg - Philippe Isope, CNRS, University of Strasbourg - Antoine Valera, CNRS, University of Strasbourg Invited faculty and tutors =========== - Samy Castro, LNCA, University of Strasbourg - Matilde Cordero-Erausquin, CNRS, University of Strasbourg - Christophe Pouzat, IRMA, University of Strasbourg - Pascale Quilichini, INSERM, Aix-Marseille University - Marisa Saggio, INS , Aix-Marseille University - Yaroslav Sych, CPJ CNRS, university of Strasbourg Application =========== The summer school is free of charge. Accommodation in shared rooms and lunches are also provided. However, travel expenses are the responsibility of the applicants. For more details and information on how to apply, please see https://neurostra.unistra.fr/evenements/evenement/news/advanced-tools-for-d… Sponsors =========== This summer school is supported by ITI NeuroStra (SFRI STRAT’US project ANR-20-SFRI-0012), the National Institute for Research in Digital Science and Technology (Inria) and the University of Strasbourg Initiative of Excellence. Website: https://neurostra.unistra.fr/evenements/evenement/news/fall-school-advanced… Contact: dbattaglia[at]unistra.fr

April 20, 2026

10th Neuroengineering Summer School Massimo Grattarola & Workshop on Neural Engineering and Micro- Nano- technologies

by Paolo Massobrio

**** Apologize for cross-posting **** Dear all, this is to announce the forthcoming 10th Neuroengineering Summer School Massimo Grattarola (Camogli - Genova, ITALY - June 8th - 10th 2026). The topic of this edition is "Bridge the gap: multiscale approaches in neurodevelopmental disorders" (https://neuroengineering.eu/) The program (lectures by leading experts, interdisciplinary discussions, and a hands-on workshop on neuroengineering technologies) will cover the full spectrum of investigation—from clinical observations and patient-derived cellular models to in vivo systems and computational “digital twin” models designed to predict personalized therapeutic responses. The deadline for the early bird application (including all-inclusive accommodation and meals) is April 30th . Applicants can be junior scientists (PhD students and Post-Doc fellows or residency students). Registration for the School is limited to 40 participants. Following the School, a two-day workshop (Camogli, June 11th - 12th, https://neuroengineering.eu/workshop) introduces participants to the main technologies for designing, building, and analyzing 2D and 3D bioengineered neural networks by means of hands-on laboratory and computer-based sessions on biomaterials, brain-on-a-chip systems, electrophysiology, and advanced imaging. The deadline for the early bird application (including all-inclusive accommodation and meals) is April 30th . Registration for the workshop is limited to 30 participants. Fee discount for the registration School + Workshop. For more information, please contact the School (Gabriele Arnulfo and Monica Frega) and/or Workshop (Martina Brofiga, Donatella di Lisa, Chiara Magliaro) organizers. see you Paolo _________________________________ Paolo Massobrio, PhD Associate Professor of Bioengineering Neuroengineering Genoa Group Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS) University of Genova Via Opera Pia 13, 16145, Genova, ITALY Phone: +39 010 3352761 URL: www.dibris.unige.it<http://www.dibris.unige.it/> E-mail: paolo.massobrio(a)unige.it<mailto:paolo.massobrio@unige.it>

April 20, 2026

Deadline approaching: Call for Proposals for Satellite Workshops at the Bernstein Conference 2026

by Bernstein Conference

+++ The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops of the Bernstein Conference 2026 in Frankfurt am Main, Germany. +++ ____ *Bernstein Conference* Each year, the Bernstein Network invites the international computational neuroscience community to the Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries.** https://www.bernstein-conference.de/ <https://www.bernstein-conference.de/> ____ ** *Satellite Workshops* Satellite Workshops at the Bernstein Conference 2026 provide a forum to discuss topical research questions, novel scientific approaches, and challenges in computational neuroscience and related fields. Ideally, the format should foster extensive scientific discussions and debates, and go beyond a mere series of talks. https://bernstein-network.de/bernstein-conference/call-for-satellite-worksh… <https://bernstein-network.de/bernstein-conference/call-for-satellite-worksh…> ____ ** *Important Dates* Satellite Workshops: *September 28 - 29, 2026* ·Monday, Sep 28, 14:00 - 18:30 CEST ·Tuesday, Sep 29, 8:30 - 12:30 CEST Main Conference: September 29 - October 1, 2026 Deadline for Satellite Workshop proposal submission: *April 29, 2026 at 15:00 CEST* Notification of Satellite Workshop acceptance: May 2026 ____ ** *Benefits* For each workshop, the organizers will receive *one fee waiver* for the Satellite Workshops, which they can award to one of the workshop speakers. We strongly recommend that the waiver is issued given consideration to aspects of inclusion. ** ____ *INVITED SPEAKERS* Roshan Cools (Donders Institute for Brain, Cognition and Behaviour, The Netherlands) Benjamin Grewe (Institute of Neuroinformatics of the ETH and UZH, Switzerland) Andreas Herz (LMU Munich, Germany) Ewelina Knapska (Nencki Institute of Experimental Biology, Poland) John Krakauer (Champalimaud Foundation, Portugal) Jeehyun Kwag (Seoul National University, Korea) Anna Levina (University of Tübingen, Germany) Richard Naud (University of Ottawa, Canada) Bence Ölveczky (Harvard University, USA) Sandro Romani (Janelia Research Campus, USA) ____ *CONFERENCE COMMITTEE* Stefan Rotter (Conference Chair) Matthias Kaschube (Conference Host) Tim Vogels (Program Chair) Panayiota Poirazi (Program Vice Chair) Katharina Wilmes (Workshop Chair) Juan Álvaro Gallego(Workshop Vice Chair) & Nicolas Brunel, Alex Cayco-Gajic, Monika Jadi, Jennifer Li, Scott Linderman, Wiktor Młynarski, Richard Naud, Joseph Raimondo, Tatyana Sharpee, Taro Toyoizumi, Eleni Vassilaki ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de <mailto:bernstein.conference@fz-juelich.de>

April 20, 2026

18th Advanced Scientific Programming in Python Summer School, 30 August – 06 September, 2026, Prague Czechia

by Jakob Jordan

ASPP2026: 18th Advanced Scientific Programming in Python Summer School ====================================================================== https://aspp.school Scientists spend a significant amount of time writing, maintaining and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. They end up being overwhelmed by the coding challenges they face and keep re-inventing the wheel. In the hope to free more time for research they increasingly rely on generative AI, which may produce runnable code without the need to fully understand it. Such code can neither be reused nor trusted to work correctly and, as a result, scientists are hesitant to share it and publish it. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are interactive and allow participants to acquire direct hands-on experience with the topics. Participants will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. This school is targeted at PhD students, postdocs and more senior researchers from all fields, who do a lot of programming in their academic life, but were never taught how to do so properly. Competence in programming and basic knowledge of Python and git is assumed. Participants are required to work through the proposed introductory material before. 🌈 We strive for a welcoming and sociable atmosphere for scientists from all walks of life. In particular, we focus on recruiting an international and gender-balanced pool of students. Date & Location =============== 30 August – 06 September, 2026. Prague Czechia Application =========== You can apply online: https://aspp.school Application deadline: 23:59 UTC, Sunday 03 May 2026. There will be no deadline extension, so be sure to apply on time. Invitations and notifications of rejection will be sent by Sunday 24 May, 2026. Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. Program ======= • Large-scale collaborative scientific code development with git and code forges • Testing and debugging scientific code • Organizing, documenting, and distributing scientific code • Data in scientific programming • Scientific programming patterns in Python • What every scientist should know about computer architecture • Writing parallel applications in Python • Programming in teams Faculty ======= • Aitor Morales-Gregorio, Faculty of Mathematics and Physics, Charles University, Prague, Czechia • Anna-Lena Eckert, Translational Computational Psychiatry Group, University College London, UK • Carlos Cernuda, Data Analysis and Cybersecurity, Mondragon Unibertsitatea, Bilbao, Spain • Guillermo Aguilar, Department of Computational Psychology, Technische Universität Berlin, Germany • Jenni Rinker, Department of Wind and Energy Systems, Technical University of Denmark, Lyngby, Denmark • Lisa Schwetlick, Laboratoire des Systèmes Perceptifs, École Normale Supérieure, Paris, France • Pamela Hathway, freelance consultant, Nürnberg, Germany • Pietro Berkes, NAGRA Kudelski, Lausanne, Switzerland • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Tiziano Zito, Compilers and Programming Languages, Technische Universität Berlin, Germany • Verjinia Metodieva, Charité–Universitätsmedizin and Einstein Center for Neurosciences Berlin, Germany • Zbigniew Jędrzejewski-Szmek, Amutable GmbH, Warsaw, Poland Organizers ========== Head of the organization for ASPP and responsible for the scientific program: • Tiziano Zito, Compilers and Programming Languages, Technische Universität Berlin, Germany Organization team in Prague: • Aitor Morales-Gregorio, Faculty of Mathematics and Physics, Charles University, Prague, Czechia Funding and Sponsors ==================== ASPP2026 is hosted by the Faculty of Mathematics and Physics of the Charles University in Prague, Czechia. Website: https://aspp.school Contact: info(a)aspp.school

April 19, 2026