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Independent PI Position – NeuroAI, Generative Models & Visual Computation (University of Coimbra)
by Jorge Almeida March 2, 2026

March 2, 2026

Dear all, Apologies for the cross-posting. We are seeking a researcher interested in establishing themselves as an independent PI under a 2–3 year contract in Portugal, to develop and lead a research line in NeuroAI and Visual Computation at the University of Coimbra. The successful candidate will build an independent program at the intersection of computational neuroscience and artificial intelligence, with a particular focus on visual processing. We are particularly interested in candidates working at the intersection of artificial intelligence and biological vision, including research on diffusion models and generative AI; GANs and large-scale visual generative systems; representation learning and mid-level visual features; image synthesis, transformation, and model interpretability; Computational accounts of object and scene representations; and testing alignment between artificial and biological vision systems. The candidate will have full access to newly acquired local GPU and CPU computational infrastructure, as well as institutional high-performance computing facilities. A central component of the position will involve leveraging human neuroimaging data — particularly fMRI (3T, with potential access to 7T) — to test and constrain computational models of visual representation and generative systems. We are especially interested in researchers aiming to establish an independent research group (seed funding may be available) and who adopt a strong fundamental science perspective grounded in cognitive science and systems neuroscience. The ideal candidate will integrate large-scale modeling approaches with empirical neural data to advance mechanistic accounts of visual cognition. The position offers rich collaborative opportunities with faculty in cognitive neuroscience and perception, including Jorge Almeida, Joana Carvalho, Jason Fischer, Pawel Tacikowski, Robert Whitwell, Zohar Tal, Ceren Battal, and Alfonso Caramazza. The department provides access to 3T MRI facilities (with potential 7T collaborations), TMS (Magstim Super Rapid² with Brainsight neuronavigation), EEG, tDCS, eye tracking, motion tracking, and virtual reality systems. This position is embedded within the major European-funded CogBooster initiative, which aims to establish a permanent and internationally competitive team of cognitive neuroscientists at the Department of Psychology of the University of Coimbra. The current group is highly international and conducts research spanning low- and high-level vision, memory, attention, action, and conceptual processing. Researchers with strong backgrounds in machine learning, computer vision, or computational neuroscience — and a genuine interest in linking artificial systems to biological cognition — are particularly encouraged to apply. If you — or someone you know — might be interested in this opportunity, please feel free to contact me. Best regards, Jorge

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Independent young PI Position to lead the newly formed TMS Lab (University of Coimbra)
by Jorge Almeida March 2, 2026

March 2, 2026

Dear all, Apologies for the cross-posting. We are seeking a researcher interested in establishing themselves as an independent PI under a 2–3 year contract in Portugal, to lead and develop a newly established TMS laboratory. The lab is equipped with a Magstim Super Rapid² TMS system and Brainsight neuronavigation. The successful candidate will lead the TMS facility and will have substantial access to the equipment to pursue their own research program. There will also be opportunities for collaboration with other PIs in the department, including Jorge Almeida, Joana Carvalho, Jason Fischer, Pawel Tacikowski, Robert Whitwell, Zohar Tal, Ceren Battal, and Alfonso Caramazza, on joint TMS projects. We are particularly interested in researchers who aim to build an independent research group (seed funding may be available, as well as support for major competitive applications - e.g., ERC) and who use TMS to investigate cognitive processes from a fundamental science perspective. While our primary focus is basic cognitive neuroscience, we would consider work involving neurological populations (e.g., individuals with brain damage), though we are less focused on psychiatric or clinical intervention approaches. In addition to TMS, the department provides access to tDCS systems, fMRI, EEG, fMRI compatible EEG, eye tracking, motion tracking, and virtual reality equipment. This position is part of the major European-funded CogBooster initiative, which aims to establish a permanent team of cognitive neuroscientists within the Department of Psychology at the University of Coimbra. The current group is highly international and conducts research spanning low- and high-level vision, memory, attention, and action. If you — or someone you know — might be interested in this opportunity, please feel free to contact me. Best regards, Jorge

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Independent young PI Position to lead the EEG Lab (University of Coimbra)
by Jorge Almeida March 2, 2026

March 2, 2026

Dear all, Apologies for the cross-posting. We are seeking a researcher interested in establishing themselves as an independent PI under a 2–3 year contract in Portugal, to lead and further develop our EEG laboratory (256 Ch EEG AntNeuro) and a newly purchased fMRI compatible EEG to be used in our 3T MRI scanner. The successful candidate will oversee the EEG facility and will have substantial access to the equipment to pursue their own research program. There will also be opportunities for collaboration with other PIs in the department, including Jorge Almeida, Joana Carvalho, Jason Fischer, Pawel Tacikowski, Robert Whitwell, Zohar Tal, Ceren Battal, and Alfonso Caramazza, on joint EEG projects. Moreover, the PI will co-lead with Joana Carvalho the use of the fMRI compatible EEG to be used in the 3T MRI scanner. We are particularly interested in researchers who aim to build an independent research group (seed funding may be available) and who use EEG to investigate major cognitive processes from a fundamental science perspective and from a strong Cognitive Science perspective. In addition to EEG, the department provides access to TMS (Magstim Super Rapid² with Brainsight neuronavigation), tDCS systems, fMRI, eye tracking, motion tracking, and virtual reality equipment. This position is part of the major European-funded CogBooster initiative, which aims to establish a permanent team of cognitive neuroscientists within the Department of Psychology at the University of Coimbra. The current group is highly international and conducts research spanning low- and high-level vision, memory, attention, and action. If you — or someone you know — might be interested in this opportunity, please feel free to contact me. Best regards, Jorge

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Multiple PhD positions in Cognitive Neuroscience at SISSA - application deadline 20 March 2026
by Eugenio Piasini March 2, 2026

March 2, 2026

Up to 6 PhD positions in Cognitive Neuroscience are available at SISSA, Trieste, starting October 2026. SISSA is an elite postgraduate research institution for Maths, Physics and Neuroscience, located in Trieste, Italy. SISSA operates in English, and its faculty and student community is diverse and strongly international. The Cognitive Neuroscience group (https://phdcns.sissa.it/) hosts 7 research labs that study the neuronal bases of time and magnitude processing, neuronal foundations of perceptual experience and learning in various sensory modalities, motivation and intelligence, language, and neural computation. Our research is highly interdisciplinary; our approaches include behavioral, psychophysics, and neurophysiological experiments with humans and animals, as well as computational, statistical and mathematical models. Students from a broad range of backgrounds (physics, maths, medicine, psychology, biology) are encouraged to apply. The selection procedure is now open; please apply here (https://pica.cineca.it/sissa/phd-cns-01-2026/) The application deadline for the spring admission round is 20 March 2026 at 1pm CET. For more information on the procedure, see our admissions page (https://phdcns.sissa.it/admission-procedure) Please contact the PhD Coordinator Mathew Diamond (diamond(a)sissa.it) and/or your prospective supervisor for more information and informal inquiries.

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Postdoctoral Researcher in AI for Mental Health — AHA Lab @ CUHK‑Shenzhen
by Prof. Sahba ZOJAJI (HSS) March 2, 2026

March 2, 2026

Position: Postdoctoral Researcher (1 position) Lab/Unit: Augmented Humanity & AI (AHA) Lab, School of Artificial Intelligence (SAI), The Chinese University of Hong Kong, Shenzhen (CUHK‑Shenzhen) Location: Shenzhen, China | On‑site Term: 24 months, renewable based on performance and funding Start date: Flexible (target window: by June 2026) Summary The AHA Lab at CUHK‑Shenzhen invites applications for postdoctoral researchers in Artificial Intelligence for Mental Health and Therapy, with emphasis on multimodal LLMs that fuse language, facial, vocal, and physiological signals, social robotics for real-time affective interaction, and VR-based exposure and skills-training environments—all targeting transparent, trustworthy support for CBT and other evidence-based interventions. The postdoc will drive independent and collaborative research, publish at CHI/ACL/EMNLP/AAAI/ICLR/NeurIPS/TAC, and mentor students in a fast‑growing AI school. Responsibilities - Design and fine-tune multimodal LLMs that integrate language, facial, vocal and physiological data for real-time inference of affect, risk and therapeutic needs. - Develop social-robotic and VR prototypes that deliver CBT micro-interventions, exposure tasks or skills coaching, and evaluate usability and efficacy in lab and clinical settings. - Create interpretable, uncertainty-aware models that supply clinicians and patients with actionable explanations; ensure compliance with ethical, privacy and regulatory standards. - Collect, curate and analyze multimodal datasets (wearables, EEG/fMRI, smartphone logs, robot interaction logs, VR telemetry). - Lead papers and presentations at top venues; contribute to grant writing and open‑source releases. - Co‑supervise graduate students; collaborate within CUHK‑Shenzhen and external partners. Required qualifications - Ph.D. in Computer Science/AI/Computational Psychology, or related field by start date. - Strong publication record in top-tier AI conferences in HCI/NLP/ML/Digital Mental Health. - Familiarity with robot operating systems (ROS/ROS2) or Game engines (Unity/Unreal). - Proficiency with modern Deep Learning toolchains and NLP frameworks. - Ability to design and run human-subject studies. - Excellent scientific communication in English. - At the time of contract commencement, the age must be under 35. Preferred qualifications - Experience with Clinical multimodal data, mental-health metrics, CBT/DBT training or certification, Explainable/uncertain AI, federated/privacy learning, affect-driven robot dialogue or VR therapy. - Project leadership and mentoring experience. Compensation & benefits Competitive salary commensurate with experience; benefits per CUHK‑Shenzhen policy; travel support to major conferences. Application Submit as a single PDF: (1) CV with publications; (2) 1–2 page research statement; (3) up to 3 representative papers; (4) names/emails of 2–3 referees. Review begins: 15 March 2026; applications accepted until filled. Contact: sukiwang(a)cuhk.edu.cn<mailto:sukiwang@cuhk.edu.cn>

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Postdoctoral Researcher in Speech & Language Processing — SLC Lab @ CUHK Shenzhen
by Prof. Sahba ZOJAJI (HSS) March 2, 2026

March 2, 2026

Position: Postdoctoral Researcher (1 position) Lab/Unit: Spoken Language Communication (SLC) Lab, School of Artificial Intelligence (SAI), The Chinese University of Hong Kong, Shenzhen (CUHK‑Shenzhen) Location: Shenzhen, China | On‑site Term: 24 months, renewable based on performance and funding Start date: Flexible (target window: by June 2026) Summary The SLC Lab at CUHK‑Shenzhen invites applications for postdoctoral researchers in speech and language processing, with emphasis on simultaneous speech translation (SimulST), LLM‑based S2T/S2ST, simultaneous policy learning (RL/DPO), streaming alignment (CIF/monotonic attention/Transducer), and multimodal LLMs. The postdoc will drive independent and collaborative research, publish at ACL/EMNLP/AAAI/ICLR/ICASSP/INTERSPEECH//TASLP, and mentor students in a fast‑growing AI school. Responsibilities - Design/execute research on SimulST, streaming ASR/ST, S2ST, and multimodal LLMs. - Develop reproducible pipelines (PyTorch/JAX; Hugging Face; ESPnet/Fairseq/NeMo/SpeechBrain). - Lead papers and presentations at top venues; contribute to grant writing and open‑source releases. - Co‑supervise graduate students; collaborate within CUHK‑Shenzhen and external partners. Required qualifications - Ph.D. in EE/CS/Computational Linguistics or related field by start date. - Strong publication record in top-tier AI conferences in speech/NLP/ML. - Proficiency with modern DL toolchains and speech/NLP frameworks. - Excellent scientific communication in English. - At the time of contract commencement, the age must be under 35. Preferred qualifications - Experience with SimulST/read–write policies, RL/DPO/RLHF, CIF/CTC/monotonic attention, multilingual and low‑resource speech, evaluation (COMET, AL/ATD, WER/TER), robustness/accent/noise, prosody/voice, machine speech chain, and large‑scale training. - Project leadership and mentoring experience. Compensation & benefits Competitive salary commensurate with experience; benefits per CUHK‑Shenzhen policy; travel support to major conferences. Application Submit as a single PDF: (1) CV with publications; (2) 1–2 page research statement; (3) up to 3 representative papers; (4) names/emails of 2–3 referees. Review begins: 15 March 2026; applications accepted until filled. Contact: snakamura(a)cuhk.edu.cn<mailto:snakamura@cuhk.edu.cn>

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ICIST 2026 – Call for Papers
by Nian Ashlee Zhang Feb. 28, 2026

Feb. 28, 2026

The 16th International Conference on Information Science and Technology (ICIST 2026) will be held in Coimbra, Portugal, October 1-6, 2026. Topics include intelligent control and automation, artificial intelligence, machine learning, information processing, computer vision, networking, and information security. Submission deadline: May 15, 2026. Technically supported by IEEE SMC. Accepted papers are expected to be included in IEEE Xplore. Conference website & submission: https://conference.cs.cityu.edu.hk/icist/ Please feel free to share with interested colleagues.

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Accepting applications: The Brain Prize Course - Computational and Theoretical Neuroscience 2026
by Maria Neimark Geffen Feb. 27, 2026

Feb. 27, 2026

Dear Colleagues, I’m writing as a co-director of the upcoming *CAJAL Advanced Neuroscience Training Course: The Brain Prize Course - Computational and Theoretical Neuroscience 2026*, now open for applications. This intensive course is a unique opportunity for early-career researchers interested in this field. Hosted at the *Champalimaud Centre for the Unknown*, this three-week course focuses on *bridging the gap between theoretical frameworks and experimental neuroscience*. It provides intensive training in neural coding, network dynamics, and advanced data analysis, combining high-level lectures with hands-on Python-based projects to model complex brain functions and interpret large-scale neuronal datasets. 📍 *Location:* Champalimaud Centre for the Unknown, Lisbon, Portugal 📅 *Dates:* 13 - 31 July 2026 ⏳ *Application Deadline:* 27 February 2026 🔗 *Apply now:* https://form.jotform.com/Cajal_training/computational-neuro2026 *Course Directors* - *Alfonso Renart* - Champalimaud Foundation, Portugal - *Julijana Gjorgjieva* - Technical University of Munich, Germany - *Maria Geffen* - University of Pennsylvania, USA - *Omri Barak* - Technion, Israel Institute of Technology *Course Themes & Topics:* - *Neural Modeling & Dynamics*: Mastering the mathematical foundations of brain function, from single-cell biophysical models like Hodgkin−Huxley to the complex behavior of excitatory-inhibitory networks. - *Neural Coding & Data Analysis*: Learning how populations of neurons represent information using advanced computational tools like dimensionality reduction to decode large-scale neural datasets. - *Cognitive & Normative Theory*: Exploring high-level functions through Bayesian inference and reinforcement learning to understand how the brain optimizes decision-making and motor control. *Speakers include:* - Larry Abbott (Columbia University, USA) - Haim Sompolinsky (Harvard University, USA & Hebrew University of Jerusalem, Israel) - Susanne Schreiber (Humboldt University of Berlin, Germany) - Francesca Mastrogiuseppe (SISSA – International School for Advanced Studies, Italy ) - Il Memming Park (Champalimaud Foundation, Portugal) - Jakob Macke (University of Tübingen, Germany ) - Wiktor Młynarski (LMU Munich – Ludwig-Maximilians-Universität München, Germany ) - Laura Busse (LMU Munich – Ludwig-Maximilians-Universität München, Germany ) - Yiota Poirazi (IMBB–FORTH, Heraklion, Greece ) - Adrienne Fairhall (University of Washington, USA) - Agostina Palmigiano (Gatsby Computational Neuroscience Unit, UCL, UK) - Joe Paton (Champalimaud Foundation, Portugal) - Dmitri Chklovskii (Flatiron Institute, Simons Foundation, USA) - Brent Doiron (University of Chicago, USA) - Gilles Laurent (Max Planck Institute for Brain Research, Germany) - Alex Cayco Gajic (École Normale Supérieure – PSL, France ) - Rafal Bogacz (MRC Brain Network Dynamics Unit, University of Oxford, UK) ________________________________ Maria Neimark Geffen, Ph.D. (she/her) Professor Co-director, Penn Computational Neuroscience Initiative Department of Otorhinolaryngology: HNS (primary) Department of Neuroscience Department of Neurology Perelman School of Medicine University of Pennsylvania 5 Ravdin 3400 Spruce St. Philadelphia PA 19104 Tel.: 215.898.0782 My zoom <https://pennmedicine.zoom.us/my/mgeffen?pwd=eWVFbUJFUGRJZ3g1eU9YZEZic2VwZz09> mgeffen(a)pennmedicine.upenn.edu http://hosting.med.upenn.edu/hearing https://bsky.app/profile/geffenlab.bsky.social

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CfP AISC 2026 - Natural and Artificial Intelligence: between Skills and Biases
by Luca Tummolini Feb. 27, 2026

Feb. 27, 2026

*Call for Papers — AISC 2026* *https://www.aisc2026.com/ <https://www.aisc2026.com/>* *22nd Annual Conference of the Italian Association for Cognitive Science:* *Natural and Artificial Intelligence: between Skills and Biases* Torino, Italy — *September 9–11, 2026* The *Italian Association for Cognitive Science (AISC)* invites submissions for AISC 2026, an interdisciplinary forum for researchers in all areas of cognitive science. We particularly encourage submissions addressing skills and biases in both natural and artificial intelligent systems, but we welcome contributions from all areas of cognitive science, including theoretical, empirical, computational, philosophical, and interdisciplinary work that advances understanding of intelligence across biological, social, and artificial domains. ------------------------------ *IMPORTANT DATES* - *Deadline for Abstract Submission: 20 April 2026* - *Notification of Acceptance: 22 June 2026* - *Conference Dates: 9–11 September 2026* ------------------------------ *INVITED SPEAKERS* - *Francesca Garbarini *(University of Turin) - *Marco Marini* (ISTC-CNR – Winner of the AISC Early Career prize 2025) - *Carlotta Pavese* (University of Oxford) - *Walter Quattrociocchi* (Sapienza University of Rome) ------------------------------ Abstracts for talk or poster presentation (500 words references excluded, anonymized), or for symposia (2000 words, references excluded, with author details) must be submitted at the following link: *https://cmt3.research.microsoft.com/IACS2026/Submission/Index <https://cmt3.research.microsoft.com/IACS2026/Submission/Index>* For any questions about the submission process, please visit *https://www.aisc2026.com/calls-committees <https://www.aisc2026.com/calls-committees>* or reach out via the following email address: *aisc2026(a)outlook.com <aisc2026(a)outlook.com>* ------------------------------ TOPICS OF INTEREST: We accept submissions on all topics related to cognitive science, including (but not limited to): 4E cognition – artificial intelligence and cognition – bounded rationality and decision-making – cognitive architecture – cognitive biases and heuristics – cognitive modeling – cognitive neuroscience – cognitive psychology – cognitive and motor skills – cognitive robotics – collective intelligence and collective behavior – computational linguistics – computational social sciences – decision-making under uncertainty – deep neural models – developmental science – embodied and grounded cognition – expertise and know-how – epistemology – ethics of artificial intelligence and robotics – history of cognitive science – human–AI interaction – learning and adaptation in natural and artificial systems – natural and artificial consciousness – neuroethics – neurolinguistics – philosophy of biology – philosophy of cognitive science – philosophy of language – philosophy of mind – philosophy of neuroscience – philosophy of health and medicine – philosophy of technology – psycholinguistics – social cognition and social influence – social robotics – misinformation and information dynamics in networks ------------------------------ PROGRAM COMMITTEE - Fabrizio Calzavarini, University of Torino - Vincenzo Crupi, University of Torino - Marco Viola, Roma Tre University ORGANIZING COMMITTEE - Alessandro Demichelis, IMT School for Advanced Studies Lucca - Head of committee - Maddalena Costa, University of Torino - Alessandra Civani, University of Pavia - Lorenzo D'Errico, University of Torino - Niccolò Nanni, University of Torino SCIENTIFIC COMMITTEE - Carola Barbero (University of Torino) - Francesco Bianchini (University of Bologna) - Monica Bucciarelli (University of Torino) - Fabrizio Calzavarini (University of Torino) - Vincenzo Crupi (University of Torino) - Olga Dal Monte (University of Torino) - Federico D'Agata (University of Torino) - Edoardo Datteri (University Milano-Bicocca) - Sara Dellantonio (University of Trento) - Alessandro Demichelis (IMT School for Advanced Studies Lucca) - Elvira Di Bona (University of Torino) - Matteo Diano (University of Torino) - Francesco Ianì (University of Torino) - Antonio Lieto (University of Salerno) - Chiara Lucifora (LINK Campus University) - Claudia Mazzuca (Sapienza University of Rome) - Eugenio Petrovich (University of Torino) - Antonella Tramacere (University Roma Tre) - Luca Tummolini (ISTC-CNR) - Marco Viola (Roma Tre University) - Alberto Voltolini (University of Torino) -- ==================================== Luca Tummolini Istituto di Scienze e Tecnologia della Cognizione - CNR Via Giandomenico Romagnosi 18A - 00196 - Roma Personal Website: http://www.istc.cnr.it/people/luca-tummolini Lab Website: http://www.istc.cnr.it/group/mind Office: +39 06 44595 272 E-mail: luca.tummolini(a)istc.cnr.it

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Research Fellow - Deep Learning Theory & AI Safety
by I-Chun Lin Feb. 26, 2026

Feb. 26, 2026

Closing date: 26 March 2026 We invite applications for a postdoctoral training fellowship under the guidance of Professor Andrew Saxe. The Saxe Lab works across the Gatsby Computational Neuroscience Unit and the Sainsbury Wellcome Centre and is focussed on understanding learning in biological and artificial systems. This role lies at the interface of deep learning theory and AI safety. You will conduct research into artificial deep networks using techniques from applied mathematics and statistical physics. A particular focus is on understanding how depth affects learned representations and network behaviour, with applications to AI safety including emergent misalignment, unlearning and the efficacy of safety fine-tuning. The project is a collaboration with the Sarao Mannelli group at Chalmers University of Technology, where additional Research Fellows will be based. Funding for collaborative visits is included. This post is funded for two years by a grant from OpenAI's Alignment Team, awarded by the UK AI Security Institute, through the Alignment Project. The appointment will be on the UCL Grade 7 salary scale £45,103 - £52,586. Grade 7 Research Fellows will also be eligible for a departmental allowance of up to £5,000 p.a. You should have a PhD in Computer Science, Physics or closely related discipline (Engineering, Theoretical Neuroscience, Mathematics) or have submitted your final thesis by the agreed start date of the position. A proven track-record of publishing work as a lead author relating to theory of deep learning or AI safety is essential as is a demonstrable interest in mathematical analysis of artificial neural network models. A demonstrable interest in AI safety and track record of running controlled empirical experiments on large deep network models on HPC or via frontier model APIs is desirable. For detailed information on the role and how to apply, please visit “UCL Job: B02-10169” (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=42098&jobTi…)

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