Traditionally, touch is associated with exteroception and is rarely considered a relevant sensory cue for controlling movements in space, unlike vision. We developed a technique to isolate and measure tactile involvement in controlling sliding finger movements over a surface. Young adults traced a 2D shape with their index finger under direct or mirror-reversed visual feedback to create a conflict between visual and somatosensory inputs. In this context, increased reliance on somatosensory input compromises movement accuracy. Based on the hypothesis that tactile cues contribute to guiding hand movements when in contact with a surface, we predicted poorer performance when the participants traced with their bare finger compared to when their tactile sensation was dampened by a smooth, rigid finger splint. The results supported this prediction. EEG source analyses revealed smaller current in the source-localized somatosensory cortex during sensory conflict when the finger directly touched the surface. This finding supports the hypothesis that, in response to mirror-reversed visual feedback, the central nervous system selectively gated task-irrelevant somatosensory inputs, thereby mitigating, though not entirely resolving, the visuo-somatosensory conflict. Together, our results emphasize touch’s involvement in movement control over a surface, challenging the notion that vision predominantly governs goal-directed hand or finger movements.

Over the last 20 years, neuroimaging and electrophysiology techniques have become central to understanding the mechanisms that accompany loss and recovery of consciousness. Much of this research is performed in the context of healthy individuals with neurotypical brain dynamics. Yet, a true understanding of how consciousness emerges from the joint action of neurons has to account for how severely pathological brains, often showing phenotypes typical of unconsciousness, can nonetheless generate a subjective viewpoint. In this presentation, I will start from the context of Disorders of Consciousness and will discuss recent work aimed at finding generalizable signatures of consciousness that are reliable across a spectrum of brain electrophysiological phenotypes focusing in particular on the notion of edge-of-chaos criticality.

Predictive processing offers a unifying view of neural computation, proposing that brains continuously anticipate sensory input and update internal models based on prediction errors. In this talk, I will present converging evidence for the computational mechanisms underlying this framework across human neuroscience and deep neural networks. I will begin with recent work showing that large-scale distributed prediction-error encoding in the human brain directly predicts how sensory representations reorganize through predictive learning. I will then turn to PredNet, a popular predictive coding inspired deep network that has been widely used to model real-world biological vision systems. Using dynamic stimuli generated with our Spatiotemporal Style Transfer algorithm, we demonstrate that PredNet relies primarily on low-level spatiotemporal structure and remains insensitive to high-level content, revealing limits in its generalization capacity. Finally, I will discuss new recurrent vision models that integrate top-down feedback connections with intrinsic neural variability, uncovering a dual mechanism for robust sensory coding in which neural variability decorrelates unit responses, while top-down feedback stabilizes network dynamics. Together, these results outline how prediction error signaling and top-down feedback pathways shape adaptive sensory processing in biological and artificial systems.

The Nature versus Nurture debate has generally been considered from the lens of genome versus experience dichotomy and has dominated our thinking about behavioral individuality and personality traits. In contrast, the role of nonheritable noise during brain development in behavioral variation is understudied. Using the Drosophila melanogaster visual system, I will discuss our efforts to dissect how individuality in circuit wiring emerges during development, and how that helps generate individual behavioral variation.

Optical imaging is a major research tool in the basic sciences, and is the only imaging modality that routinely enables non-ionized imaging with subcellular spatial resolutions and high imaging speeds. In biological imaging applications, however, optical imaging is limited by tissue scattering to short imaging depths. This prevents large-scale bio-imaging by allowing visualization of only the outer superficial layers of an organism, or specific components isolated from within the organism and prepared in-vitro.

The Faculty of Computer Science at UNamur has an open academic position in distributed systems. The Faculty is more than 50 years old and is located in Namur, an historical city at the center of Wallonia. We are looking for candidates that will create and contribute to collaborations in line with the Faculty's areas of interest (software engineering, data engineering, data science, artificial intelligence, security, formal methods, modeling...).

This project involves modelling the staggered development and the decline with age of spatial coding in the mammalian brain, as well as data analysis of single neuron recordings. The position is based at Newcastle University, UK, with a rotation in the lab of Prof. Colin Lever in Durham, UK. The project is fully funded for 4 years by the BBSRC. Both international and UK students can apply, and fees are covered.

The Institute of Theoretical Computer Science at Graz University of Technology (Austria) has opened a Tenure Track Assistant Professor Position in the area of Machine Learning and Artificial Intelligence. The research focus will be on basic research in the overlapping field of sub-symbolic and symbolic AI within the prestigious Cluster of Excellence Bilateral AI.

The University of Bristol is pleased to offer a fully-funded PhD position to study the processing of traumatic memories during sleep using advanced machine learning techniques. The successful candidate will be supervised by an interdisciplinary team of experimental and computational neuroscientists, including Dr. Ross Purple, Dr. Sean Froudist-Walsh, and Dr. Eleonora Russo. This project will also involve collaboration with the Sant’Anna School of Advanced Studies in Pisa, Italy.

The International Max Planck Research School (IMPRS) for Language Sciences is offering two fully-funded PhD Fellowship for four years (2025-2029) with a preferred start-date in September or October, 2025. The goal of the scheme is to enable young researchers to pursue interdisciplinary research projects in the language sciences, supervised by leading scientists at the Max Planck Institute for Psycholinguistics and its partner institutes at the Radboud University -- the Centre for Language Studies and the Donders Institute for Brain, Cognition and Behaviour.

We have are looking to fill a fully funded 3-year Ph.D. student position in the field of deep learning-based signal processing algorithms for speech enhancement and computational audition. The position is funded by the German research council (DFG) within the Collaborative Research Centre SFB 1330 “Hearing Acoustics” at the Department of Medical Physics and Acoustics, University of Oldenburg. Within project B3 of the research centre, the Computational Audition Group develops machine learning algorithms for signal processing of speech and audio data.

A postdoctoral position is available in the Computational Neuroscience Unit (https://groups.oist.jp/cnu) of Prof. Erik De Schutter at the Okinawa Institute of Science and Technology for a researcher interested in modeling to help better understanding of cerebellar properties and function. Candidates should have good knowledge of cerebellar anatomy and physiology related to previous modeling work, and be open to an explorative approach. Depending on prior experience and interest the focus can be on modeling the cerebellum and its neurons and/or on analyzing experimental data obtained through collaboration. The postdoc will interact with other researchers and students in the lab who are working on cerebellar modeling projects. We offer attractive working conditions in an English language graduate university, located on a beautiful subtropical island. Starting date any time before end 2024. Send curriculum vitae, summary of research interests and experience, and the names of two referees to Prof. Erik De Schutter at erik@oist.jp

📢 Join the Lin Lab at Mount Sinai! We’re Hiring Postdocs, Research Assistants, and PhD Students! The Lin Lab, also known as the Bytes of Minds Lab, is on the lookout for driven researchers passionate about Computational Psychiatry and Neuro-AI. Directed by Dr. Baihan Lin (me!) and based at the Icahn School of Medicine at Mount Sinai, New York’s largest hospital network, our lab is uniquely positioned with access to vast data resources and a strong collaborative environment. We’re pushing the boundaries of mental health technology and brain-inspired AI to create intelligent systems that can transform healthcare and deepen our understanding of the mind. Why Join Us? 🍎 Cutting-edge Research: Tackle challenges in neuro-inspired AI, computational psychiatry, brain-computer interfaces, extended realities (XR), social media, wearables, and beyond. 🍎 Interdisciplinary Impact: Work at the intersection of advanced neuroscience, machine learning, and cognitive science to create adaptive AI systems, new tools for mental health, and next-gen neurotechnology. 🍎 Top-Tier Environment: Join Mount Sinai’s dynamic research community, within New York’s largest health system with the most diverse patient populations and a leading hub for AI in healthcare (ranked #1 by Nature). Whether you're a potential postdoc, PhD student, or someone looking for an interdisciplinary research experience, if you’re passionate about bridging the gap between bytes and minds, we want to hear from you! Learn more at linlab.org and apply by emailing me at baihan.lin@mssm.edu. Bytes of Minds Lab (Lin Lab) Departments of AI, Psychiatry, and Neuroscience Hasso Plattner Institute for Digital Health, Friedman Brain Institute, Center for Computational Psychiatry

The aim of the project is to develop a multiscale model of Dravet syndrome, from ionic channels of interacting neurons to large neural populations. We will use various modeling frameworks, adapted to the scale, from piecewise-deterministic Markov processes to mean-field formalism. The postdoc will perform a mathematical analysis of the models, extensive numerical simulations as well as data analysis using neural recordings from our experimental partners.

We are recruiting for a tenure-track Assistant Professor position in the area „Machine Learning in the Life Sciences“ at Medical University of Vienna. The position will be a group leader at the new Comprehensive Center of AI in Medicine (CAIM) that will start in January 2025 at MedUni Vienna. It will be a dual appointment at CAIM and another Department at MedUni Wien that the candidate can choose. CAIM will bring together ML researchers and labs from across the university at one physical place. Currently, about 15 labs are involved that will build the starting point of the center. MedUni will nominate the successful candidate in a Viennese Research Group Call for a EUR 1.8 Mio startup research budget.

Our ability to learn and remember shapes how we navigate the world. Every day, the brain forms new episodic memories that would be of limited use if they simply faded over time. Instead, the brain strengthens and integrates these memories through a process called consolidation, which helps abstract patterns and rules, connect experiences, and apply past knowledge to new situations (generalization). In our lab, we study the neural mechanisms that make learning and memory consolidation possible, focusing on how brain activity during sleep and wakefulness facilitates memory formation and integration to support cognitive behavior. Specifically, we investigate thalamocortical circuits, using state-of-the-art neuroscience approaches to uncover fundamental principles by which these circuits contribute to learning.

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in scientific study of the brain. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests.

The Shanahan Foundation Fellowship at the Interface of Data and Neuroscience is once again welcoming applications. The fellowship encourages new PhDs from outside of neuroscience to apply their quantitative skills to our datasets. Early career-scientists from computer science, physics, math, and many other fields will be selected to join the Allen Institute and University of Washington for a 3-year fellowship where they will have the freedom to explore a new field and design their own research project.

The NLP4BIA group at the Barcelona Supercomputing Center (BSC) is looking for a post-doctoral researcher with expertise in data science, NLP and LMs. The Natural Language Processing for Biomedical Information Analysis (NLP4BIA) group at BSC is an internationally renowned research group working on the development of NLP, language technology, and text-mining solutions applied primarily to biomedical and clinical data. It is a highly interdisciplinary team, funded through competitive European and National projects requiring the implementation of natural language processing and advanced AI solutions making use of diverse technologies, including Transformers and recent advances in Large Language Models (LLM) to improve healthcare data analysis. The NLP4BIA-BSC is looking for a Postdoctoral Research Engineer with experience in Language Technologies and Deep Learning. The candidate will be involved in technical work related to international projects, being part of a team of researchers working on topics related to multilingual information extraction in the clinical field, including Named-Entity Recognition, Entity Linking and Language Modeling. The candidate will have the opportunity to advance the state of the art of cross-lingual biomedical NLP methods by working in a multidisciplinary environment alongside linguists, medical experts, and other engineers. The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.

The Shanahan Foundation Fellowship at the Interface of Data and Neuroscience is once again welcoming applications. The fellowship encourages new PhDs from outside of neuroscience to apply their quantitative skills to our datasets. Early career-scientists from computer science, physics, math, and many other fields will be selected to join the Allen Institute and University of Washington for a 3-year fellowship where they will have the freedom to explore a new field and design their own research project. Applications are due December 16th, 2024.

The project is based on our research (Ryom and Treves, Phys Rev X Life, 2023, and unpublished) and on extensive data on language parameters collected by Longobardi and collaborators (Ceolin et al, Phil Trans Roy Soc B, 2021) which suggest that language diversity may reflect the disordered freezing dynamics that in a spin glass leads to a multiplicity of ground states. In a simplified model, vectors of binary syntactic parameters interact via strong asymmetric logical implications and weak partly symmetric influences, which can produce critical slowing down through a novel mechanism of percolated freezing. Candidates should be keen to develop new mathematical and computational approaches, as sketched in https://arxiv.org/abs/2307.03152 or otherwise, and enjoy learning about issues and narratives in scientific communities other than their own.

We have an opening in my group at the University of Vienna for a PhD position focused on developing AI methods that infer from a neuronal manifold which algorithm is implemented by the neuronal dynamics.

We are offering a Master's 2 internship in 'Integrating Earth observation data and deep learning methods to monitor food systems'. This internship will take place over a period of 6 months between January and June 2025 and will be co-supervised by CIRAD researchers from UMR TETIS, Simon Madec and Roberto Interdonato.

The University of Bath invites applications for a fully-funded PhD position in Machine Learning, as part of the prestigious URSA competition. This project focuses on developing interpretable machine learning methods for high-dimensional data, with an emphasis on recognizing symmetries and incorporating them into efficient, flexible algorithms. This PhD position offers the opportunity to work within a leading research environment, using state-of-the-art tools such as TensorFlow, PyTorch, and Scikit-Learn. The research outcomes have potential applications in diverse fields, and students are encouraged to bring creative and interdisciplinary approaches to problem-solving.

We announce a fully-funded 2 year postdoctoral researcher position in Multimodal Deep Learning at Uppsala University, Sweden. Multimodal Vision-Language models integrate computer vision and natural language processing techniques to process and generate information that combines both visual and textual modalities, enabling a more profound understanding of the content within images and videos. Vision-language models exhibit promising potential, and there are several important research challenges to explore. Effective integration of both modalities (vision and language), and aligning visual and text embeddings into a cohesive embedding space continue to pose significant challenges. In this project, the successful candidate will conduct fundamental research and methods development towards designing efficient multimodal models and exploring their applications in computer vision. We are looking for a candidate with a deep learning background and an interest in working on the subject of vision-language modeling. The application areas of interest will be decided in a dialogue between the candidate and the supervisor, taking into account the candidate's interests and research proposal. The position also offers teaching possibilities up to 20%, in English or Swedish. The selected candidate will work in the Department of Information Technology, Division of Systems and Control, in Ekta Vats’ group and the Beijer Laboratory for Artificial Intelligence Research. The project offers a rich collaborative environment (spanning theoretical ML research together with partners at the SciML group), with participation in leading CV/ML conferences (ICML, NeurIPS, CVPR, ICCV, etc.) being expected.

The Cognitive and Behavioral Neuroscience Division at Department of Psychology, University of Miami seeks highly motivated and creative Ph.D. students in our efforts to understand the brain and mind. Applications for entry in the Fall of 2025 are now being accepted, with a deadline of December 1st. For details, including contact information, please visit https://www.psy.miami.edu/graduate/how-to-apply/index.html. The Cognitive and Behavioral Neuroscience Division at Department of Psychology, University of Miami offers a unique program of study spanning neurobiology, behavior, computational and brain imaging research on topics of emotion, mindfulness, learning and memory, mental disorders and health. A listing of faculty affiliated with the division can be found online at https://www.psy.miami.edu/research/faculty-research/index.html and below.

The Max Planck School of Cognition offers an international four-year doctoral program (Cognition Track and Clinician Scientist Track) starting with a one-year orientation period followed by three years of research for the doctorate. Students can enter with a Bachelor’s (fast-track) or a Master’s degree.

The Corso Group (COG) at the University of Michigan is recruiting 2-3 talented, self-motivated, and creative PhD students for the 2024-2025 academic year. Led by Prof. Jason Corso, COG has been pioneering advances in physical AI and visual AI for the last two decades. We've contributed seminal work in areas such as machine learning foundations, video understanding (including the first paper on video captioning), human-in-the-loop computer vision, and interactive physical systems.

The position will be part of my group, and the project is in collaboration with the Moser lab (KISN). The position will be for 2 years. The successful candidate will combine the analysis of large-scale neural population recordings obtained with Neuropixels probes (the data will be collected by other team members) with the development of computational models.

The Max Planck School of Cognition offers an international four-year doctoral program (Cognition Track and Clinician Scientist Track) starting with a one-year orientation period followed by three years of research for the doctorate. Students can enter with a Bachelor’s (fast-track) or a Master’s degree.

Positions for doctoral study are open for 2025 in the Brain and Cognitive Sciences Department at the University of Rochester. We offer research programs that are recognized nationally and internationally in the areas of language and communication, human development, animal behavior, vision science, neuroscience, computation, and cognition. Full tuition is covered along with a 12-month stipend for five years of study which includes annual travel for meetings. The city of Rochester offers a vibrant and diverse local academic community that benefits from a low cost of living along with ample opportunities to explore the arts, including the Eastman School of Music, as well as recreational opportunities, including the finger lakes region, hiking, and skiing. Explore further the opportunities for research and life at http://www.sas.rochester.edu/bcs/. Applications will be accepted for the upcoming admissions cycle until December 1st, 2024.

The KINDI Center for Computing Research at the College of Engineering in Qatar University is seeking high-caliber candidates for a research faculty position at the level of assistant professor in the area of artificial intelligence (AI). The applicant should possess a Ph.D. degree in Computer Science or Computer Engineering or related fields from an internationally recognized university and should demonstrate an outstanding research record in AI and related subareas (e.g., machine/deep learning (ML/DL), computer vision, robotics, natural language processing, etc.) and fields (e.g., data science, big data analytics, etc.). Candidates with good hands-on experience are preferred. The position is available immediately.

We’re hiring a post-doctoral researcher to join the Inverse Complexity Lab at IT:U, Linz, Austria. We are looking for an early-stage or more advanced postdoctoral scholar who is interested in building on our ongoing projects, or developing their own research agenda related to inverse problems in network science, complex systems modeling, and/or connections to machine learning. This position is not bound to a particular research project, and the successful applicant will enjoy intellectual independence and freedom to choose research topics. This position is guaranteed for 3 years. The gross salary range is € 66,532 to € 70,000 (corrected for inflation), depending on previous experience. The employment conditions in Austria include completely free health care (also for family members), social security benefits, 25 days per year of paid vacations, flexible working hours, and possibility of home office. In addition, IT:U will provide a KlimaTicket—a unified transport pass which gives free access to the entire transportation system in Austria, including trains and local public transport.

The role includes managing INCF's scientific committees & councils, developing communications materials, maintaining training & education content, maintaining updates on working group activities, managing mentorship programs, and assisting with INCF events. Candidates should be highly organized and service-minded with excellent written and spoken English. We are looking for a self-motivated and independent neuroscientist, computer scientist, or data scientist, preferably with experience in community engagement, open science practices, and scientific communications. The candidate should have strong time management skills and be able to multitask. Interpersonal skills are essential and we emphasize the person’s ability to contribute to a friendly work environment.

The Wiring, Neuromodeling and Brain Lab at IT:U Interdisciplinary Transformation University Austria is offering 2 PhD positions in neuromodulation-aware artificial intelligence. We are interested in (1) the role of individual neuromodulators (e.g., dopamine, serotonin, and acetylcholine) in initiating and implementing diverse biological and cognitive functions, (2) how competition and cooperation among neuromodulators enrich single neuromodulator computations, and (3) how multi-neuromodulator dynamics can be translated into learning rules for more flexible, robust, and adaptive learning in artificial neural networks.

The Proaction Laboratory (proactionlab.fpce.uc.pt) at the University Coimbra Portugal is looking for Researchers at initial stages (post-PhD) of their career to be part of the lab in a joint competitive application to a Portuguese Science Foundation (FCT) independent researcher call. We particularly encourage applications from women, and from underrepresented groups in academia. The applicants should have obtained a PhD, and have an interest in cognitive neuroscience, vision science and preferably (but not limited to) object recognition, shape processing, and texture and surface processing. We are particularly interested in motivated and independent Researchers addressing these topics with strong expertise in fMRI (in particular decoding and multivariate approaches). Good programming skills, great communication and mentoring skills, and a great command of English are a plus. The applicant and the lab will work on a competitive project to be submitted. Results from the application are expected to be out mid 2025. The application will be open September 30, and will close November 29, 2024. The positions are as independent researchers in the Proaction Lab, are for 3 years, and the salary is the same as the Portuguese payroll for University Professors (net values for junior or assistant positions, for instance are approximately 1700 or 2100 euros net-value per month in a 14-month salary per year; these are competitive salaries for the cost of living in Portugal and especially in Coimbra). The Proaction Lab is currently very well funded as we have a set of on-going funded projects including a Starting Grant ERC to Jorge Almeida, a major European ERA Chair project to Jorge Almeida and Alfonso Caramazza, and other projects. We have access to a 3T MRI scanner with a 32-channel coil, to tDCS, and to a fully set psychophysics lab. We have a 256 ch EEG, motion tracking and eye-tracking on site. We also have a science communication office dedicated to the lab. Finally, the University of Coimbra is a 700-year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the liveliest university cities in the world, and it is a beautiful city with easy access to the beach and mountain. You should apply as soon as you can - the sooner the better so that we can prepare the application. If interested send an email to jorgecbalmeida@gmail.com, with a CV, and motivation/scientific proposal letter. If there is a fit, we will jointly apply to these positions – we have had in past applications a high success rate as a lab (in four previous editions, we got several applications that were offered a position).

The Proaction Laboratory (proactionlab.fpce.uc.pt) at the University Coimbra Portugal is looking for Researchers at initial stages (post-PhD) of their career to be part of the lab in a joint competitive application to a Portuguese Science Foundation (FCT) independent researcher call. We particularly encourage applications from women, and from underrepresented groups in academia. The applicant and the lab will work on a competitive project to be submitted. Results from the application are expected to be out mid 2025. The application will be open September 30, and will close November 29, 2024. The positions are as independent researchers in the Proaction Lab, are for 3 years, and the salary is the same as the Portuguese payroll for University Professors (net values for junior or assistant positions, for instance are approximately 1700 or 2100 euros net-value per month in a 14-month salary per year; these are competitive salaries for the cost of living in Portugal and especially in Coimbra). The Proaction Lab is currently very well funded as we have a set of on-going funded projects including a Starting Grant ERC to Jorge Almeida, a major European ERA Chair project to Jorge ALmeida and Alfonso Caramzza, and other projects. We have access to a 3T MRI scanner with a 32-channel coil, to tDCS, and to a fully set psychophysics lab. We have a 256 ch EEG, motion tracking and eyetracking on site. We also have a science communication office dedicated to the lab. Finally, the University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain. You should apply as soon as you can - the sooner the better so that we can prepare the application. If interested send an email to jorgecbalmeida@gmail.com, with a CV, and motivation/scientific proposal letter. If there is a fit, we will jointly apply to these positions – we have had in past applications a high success rate as a lab (in four previous editions, we got several applications that were offered a position).

The Proaction Laboratory at the University Coimbra Portugal is looking for Researchers at initial stages (post-PhD) of their career to be part of the lab in a joint competitive application to a Portuguese Science Foundation (FCT) independent researcher call. The positions are as independent researchers in the Proaction Lab, are for 3 years, and the salary is the same as the Portuguese payroll for University Professors (net values for junior or assistant positions, for instance are approximately 1700 or 2100 euros net-value per month in a 14-month salary per year; these are competitive salaries for the cost of living in Portugal and especially in Coimbra). The Proaction Lab is currently very well funded as we have a set of on-going funded projects including a Starting Grant ERC to Jorge Almeida, a major European ERA Chair project to Jorge Almeida and Alfonso Caramzza, and other projects. We have access to a 3T MRI scanner with a 32-channel coil, to tDCS, and to a fully set psychophysics lab. We have a 256 ch EEG, motion tracking and eyetracking on site. We also have a science communication office dedicated to the lab. Finally, the University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain.

We are offering a Master's 2 internship in natural language processing on ‘Extracting knowledge about land use and land cover changes from textual data’. This internship will take place over a period of 6 months between January and June 2025 and will be co-supervised by CIRAD researchers from UMR TETIS as part of the TOSCA-CNES ARENA (Automatic Rule Extraction and Network Analysis) project.

The Proaction Laboratory at the University Coimbra Portugal is looking for Researchers at initial stages (post-PhD) of their career to be part of the lab in a joint competitive application to a Portuguese Science Foundation (FCT) researcher call. The positions are as independent researchers in the Proaction Lab, are for 3 years, and the salary is the same as the Portuguese payroll for University Professors (net values for junior or assistant positions, for instance are approximately 1700 or 2100 euros net-value per month in a 14-month salary per year; these are competitive salaries for the cost of living in Portugal and especially in Coimbra). The Proaction Lab is currently very well funded as we have a set of on-going funded projects including a Starting Grant ERC to Jorge Almeida, a major European ERA Chair project to Jorge Almeida and Alfonso Caramzza, and other projects. We have access to a 3T MRI scanner with a 32-channel coil, to tDCS, and to a fully set psychophysics lab. We have a 256 ch EEG, motion tracking and eyetracking on site. We also have a science communication office dedicated to the lab. Finally, the University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain.

The Neuro-Mechanical Modeling and Engineering Lab (NMLab) at the University of Twente invites applications for a 3-year postdoctoral position funded by the ERC Consolidator Grant ROBOREACTOR. This is an exciting opportunity to join a cutting-edge team at the intersection of neurophysiology, biomechanics, and rehabilitation robotics. As a postdoctoral researcher in this project, you will work on breakthrough technology for non-invasive biopsies of skeletal muscles, specifically targeting the lower limbs. You will employ high-density electromyography (HD-EMG) and ultrasonography, combined with advanced statistical and machine learning techniques, to characterize muscle properties at multiple scales. Key focuses include motor unit phenotype distribution, 3D muscle fascicle morphology, and muscle inflammation levels. You will validate these non-invasive measurements against invasive biopsy samples and advanced imaging techniques, working with both healthy individuals and post-stroke survivors in the context of rehabilitation robotics and regenerative robotics technologies.

This 4-year PhD position offers you the chance to work in an innovative interdisciplinary environment, collaborating on groundbreaking research at the frontier of healthcare and robotics. As a PhD fellow, you’ll play a central role in building a predictive, multi-scale model of human skeletal muscle. This model will simulate how motor units within muscles respond to neural signals discharged by spinal neurons and adapt structurally over time when subjected to specific physical strain regimens. Leveraging machine learning and statistical modeling, you’ll integrate data from in vivo and in vitro studies to accurately predict muscle remodelling. The model will be validated against data from both healthy participants and post-stroke patients following a targeted 12-week leg training protocol. Using advanced tools such as high-density electromyography, ultrasound, and robotic dynamometry, you'll bridge biomechanics, neurophysiology and robotics, driving novel insights in muscle modelling and rehabilitation.

The Faculty of Engineering and Mathematics at Hochschule Bielefeld – University of Applied Sciences and Arts (HSBI) seeks to fill two positions as Research Associate in the field of Artificial Intelligence (AI) and Machine Learning (ML) within the framework of the research project 'FH-Kooperativ 2-2023: Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements' (Edge4SparseML), funded by the Federal Ministry of Education and Research. The research project's aim is to develop a method toolbox to efficiently run AI/ML procedures on resource-limited hardware for real-time applications. Based on the toolbox, it intends to investigate automated methods to explore the design space of suitable AI/hardware combinations in terms of a hardware/AI co-design. Particular emphasis lies on industrial applications with high latency requirements, considering both the complete chain as a linear process from modelling to inference and the repercussions of the choice of possible hardware configurations on the original modelling.

The Research Training Group 2853 “Neuroexplicit Models of Language, Vision, and Action” is looking for 12 PhD Students - Fall 2025. Neuroexplicit models combine neural and human-interpretable (“explicit”) models in order to overcome the limitations that each model class has separately. They include neurosymbolic models, which combine neural and symbolic models, but also e.g. combinations of neural and physics-based models. In the RTG, we will improve the state of the art in natural language processing (“Language”), computer vision (“Vision”), and planning and reinforcement learning (“Action”). We also develop novel machine learning techniques for neuroexplicit models (“Foundations”). Our overarching aim is to contribute to a better understanding of the cross-cutting design principles of effective neuroexplicit models through interdisciplinary collaboration. The RTG is scheduled to grow to a total of 24 PhD students by 2025. An excellent and international group of twelve PhD students and one postdoc have already joined the RTG. Through the inclusion of ~20 associated PhD students and postdocs funded from other sources, it will be one of the largest research centers on neuroexplicit or neurosymbolic models in the world. The RTG brings together researchers at Saarland University, the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the CISPA Helmholtz Center for Information Security, and the German Research Center for Artificial Intelligence (DFKI). All of these institutions are collocated on the same campus in Saarbrücken, Germany. The positions will be funded for four years at the TV-L E13 100% pay scale. They are intended to start in September 2025, but could start a little earlier or later depending on the student’s availability.