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.

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 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.

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.

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.

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.

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 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.

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.

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 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 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 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.

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.

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 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 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 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.

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) 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.

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 (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 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.

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 Center for Data Science (CDS) at New York University (NYU) invites applications for its highly prestigious CDS Faculty Fellow positions. Building on the success of the Moore-Sloan Fellows program, CDS has created a Faculty Fellow program to continue to develop outstanding researchers in Data Science. Alumni of the distinguished Moore-Sloan Fellow and Data Science Faculty Fellow program have secured top-level academic positions or industry jobs. For instance, our former Fellows obtained faculty positions here at NYU, the University of Chicago, Johns Hopkins, the University of Michigan, and the University of Amsterdam, to list just the most recent ones. Given the prestigious nature of the position, we offer a generous compensation package which may include NYU faculty housing as well as funds to support research and travel. The Center for Data Science (CDS) is the focal point for New York University’s university-wide efforts in Data Science. The Center was established in 2013 to advance NYU’s goal of creating a world-leading Data Science training and research facility, and arming researchers and professionals with the tools to harness the power of Big Data. Today, CDS counts 22 jointly appointed interdisciplinary faculty housed on three floors of our modern 60 5th Avenue building, one of New York City’s historic properties. It is home to a top-ranked MS in Data Science program, one of the first PhD programs in Data Science, and a new undergraduate program in Data Science, as well as a lively Fellow and Postdoctoral program. It has over 70 associate and affiliate faculty from 25 departments in 9 schools and units. With cross-disciplinary research and innovative educational programs, CDS is shaping the fields of Data Science and Machine Learning. The CDS Faculty Fellow will be expected to work at the boundaries between the data science methods and domain sciences. They are also encouraged to develop collaborations with faculty at CDS and NYU. They will lead original research projects of their choosing with impact in one or more scientific domains and in one or more methodological domains (computer science, statistics, and applied mathematics).

We invite applications for a postdoctoral research position in the Foundations of Algorithmic Verification group led by Prof. Joël Ouaknine. The successful candidate will work in close collaboration with an industrial partner, delving deep into the verifications of Large Language Models (LLMs) based software programs, and contributing to bridging scientific research and applications. The project aims to develop reliable LLM-based data curation systems for data verification and data enrichment tasks such as verifying or discovering entity relationships from textual documents and/or the Web. The postdoctoral researcher will contribute to defining the methodology and develop and refine this approach, assisting in the development of a system optimized for data curation using LLMs. The position focuses on research and development of innovative verification methods to ensure the reliability and accuracy of LLM-based data curation programs and actively collaborating with industrial partners.

Applications are invited for a Postdoctoral Research Associate in the Cardiff University School of Computer Science & Informatics, to work on the EPSRC Open Fellowship project ReStoRe (Reasoning about Structured Story Representations), which is focused on story-level language understanding. The overall aim of this project is to develop methods for learning graph-structured representations of stories. For this post, the specific focus will be on developing neuro-symbolic reasoning strategies to fill the gap between what is explicitly stated in a story and what a human reader would infer by “reading between the lines”.

We are looking for a highly motivated PhD student to study neural mechanisms of high-dimensional visual category learning. The lab generally seeks to understand the cortical basis and computational principles of perception and experience-dependent plasticity in the brain. To this end, we use a multimodal approach including fMRI-guided electrophysiological recordings in rodents and non-human primates, and fMRI and ECoG in humans. The PhD student will play a key role in our research efforts in this area. The lab is located at Ruhr-University Bochum and the German Primate Center. At both locations, the lab is embedded into interdisciplinary research centers with international faculty and students pursuing cutting-edge research in cognitive and computational neuroscience. The PhD student will have access to a new imaging center with a dedicated 3T research scanner, electrophysiology, and behavioral setups. The project will be conducted in close collaboration with the labs of Fabian Sinz, Alexander Gail, and Igor Kagan. The Department of Cognitive Neurobiology of Caspar Schwiedrzik at Ruhr-University Bochum is looking for an outstanding PhD student interested in studying the neural basis of mental flexibility. The project investigates neural mechanisms of high-dimensional visual category learning, utilizing functional magnetic resonance imaging (fMRI) in combination with computational modelling and behavioral testing in humans. It is funded by an ERC Consolidator Grant (Acronym DimLearn; “Flexible Dimensionality of Representational Spaces in Category Learning”). The PhD student’s project will focus on developing new category learning paradigms to investigate the neural basis of flexible multi-task learning in humans using fMRI. In addition, the PhD student will cooperate with other lab members on parallel computational investigations using artificial neural networks as well as comparative research exploring the same questions in non-human primates.

You will develop novel active AI algorithms that are inspired by the rapid and robust learning of insects within the £1.2m EPSRC International Centre to Centre Collaboration project: “ActiveAI: active learning and selective attention for rapid, robust and efficient AI.” and will work in collaboration with the University of Sheffield and world-leading neuroscientists in Australia. Your primary role will be to develop a new class of ActiveAI controllers for problems in which insects excel but deep learning methods struggle. These problems have one or more of the following characteristics: (i) learning must occur rapidly, (ii) learning samples are few or costly, (iii) computational resources are limited, and (iv) the learning problem changes over time. Insects deal with such complex tasks robustly despite limited computational power because learning is an active process emerging from the interaction of evolved brains, bodies and behaviours. Through a virtuous cycle of modelling and experiments, you will develop insect-inspired models, in which behavioural strategies and specialised sensors actively structure sensory input while selective attention drives learning to the most salient information. The cycle of modelling and experiments will be achieved through field work in both Sussex and Australia.

The lab of Rune W. Berg is looking for a highly motivated and dynamic researcher for a 3-year position to start January 1st, 2024. The topic is the neuroscience of motor control with a focus on locomotion and spinal circuitry and connections with the brain. The person will be performing the following: 1) experimental recording of neurons in the brain and spinal cord of awake behaving rats using Neuropixels and Neuronexus electrodes combined with optogenetics. 2) Analyze the large amount of data generated from these experiments, including tissue processing. 3) Participate in the development of the new theory of motor control.

The ETH AI Center is now accepting applications for our fully funded PhD and Post-doctoral Fellowships for the 2025 cohort. The ETH AI Center serves as the central hub for artificial intelligence at ETH Zürich, bringing together over 120 professors and research groups in an interdisciplinary setting. The ETH AI Center Fellowships are globally recognized as one of the premier programs for pursuing advanced research in AI and Machine Learning. We are seeking exceptional students who aim to shape the future of AI in an interdisciplinary environment.

Research articles and laboratory protocol organization often lack detailed instructions for replicating experiments. protocols.io is an open-access platform where researchers collaboratively create dynamic, interactive, step-by-step protocols that can be executed on mobile devices or the web. Researchers can easily and efficiently share protocols with colleagues, collaborators, the scientific community, or make them public. Real-time communication and interaction keep protocols up to date. Public protocols receive a DOI and enable open communication with authors and researchers to foster efficient experimentation and reproducibility.

ERC-funded PhD/Postdoc position on how our priors shape the way we experience reality. Methods include ultra-high-resolution fMRI of the auditory pathway at 7-Tesla and computational modelling. The position will be based at the Max Planck Institute CBS in Leipzig.

Texas Robotics at the University of Texas at Austin invites applications for a tenure-track faculty position at the rank of Assistant Professor with a tenure home in the Mechanical Engineering department. Outstanding candidates in all areas of Robotics will be considered, with emphasis on novel hardware and control techniques. Successful candidates are expected to pursue an active research program, to teach both graduate and undergraduate courses, and to supervise students in research. The University is fully committed to building a world-class faculty and we welcome candidates who resonate with our core values of learning, discovery, freedom, leadership, individual opportunity, and responsibility. Candidates who are committed to broadening participation in robotics, at all levels, are strongly encouraged.

The Department of Machine Learning for Clinical Neuroscience is currently recruiting PhD candidates and Postdocs. We develop advanced machine and deep learning models to analyze diverse clinical data, including neuroimaging, psychometric, clinical, smartphone, and omics datasets. While focusing on methodological challenges (explainability, robustness, multimodal data integration, causality etc.), the main goal is to enhance early diagnosis, predict disease progression, and personalize treatment for neurological and psychiatric diseases in diverse clinical settings. We offer an exciting and supportive environment with access to state-of-the-art compute facilities, mentoring and career advice through experienced faculty. Hertie AI closely collaborates with the world-class AI ecosystem in Tübingen (e.g. Cyber Valley, Cluster of Excellence “Machine Learning in Science”, Tübingen AI Center).

The RIKEN Center for Brain Science (CBS) was launched in April 2018 following the strong 20-year foundation of its predecessor, the Brain Science Institute (BSI). CBS aims to meet society’s ever-growing expectations for brain research. We are currently seeking outstanding neuroscientists for Team Leader positions (junior principal investigators). However, applications from internationally established neuroscientists may be considered. To promote diversity, a strength of CBS, we proactively recruit women when the candidate's research skills are deemed equal. At RIKEN CBS, Team Leaders have full intellectual independence, generous internal funds including a highly competitive start-up package and access to ample communal facilities in a collaborative environment. Successful candidates for the Team Leader position must have demonstrated the ability to develop an original, independent and internationally competitive research program. We encourage applications from all disciplines of neuroscience, particularly in (1) research areas of neurological/psychiatric disorders and (2) theoretical and computational neuroscience. Successful candidates will hold a research management position, and as the head of a laboratory, they will provide leadership and guidance to laboratory members to conduct research.

The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and Tübingen collaborate to offer an interdisciplinary Ph.D. program, the International Max Planck Research School for Intelligent Systems (IMPRS-IS). This doctoral program will accept its ninth generation of Ph.D. students in spring of 2025. We anticipate hiring over 60 doctoral researchers this recruitment round. We seek students who want to earn a doctorate while contributing to world-leading research in areas such as biomedical technology, computational cognitive science, computer vision, control systems and optimization, data science, haptics and human-computer interaction, machine learning, micro- and nano-robotics, neuroscience, perceptual inference, robotics and human-robot interaction, soft robotics, and other related fields. Admitted Ph.D. students can join our program in spring (or later) of 2025. You will be mentored by our internationally renowned faculty. You will conduct your research in either Stuttgart or Tübingen, Germany. IMPRS-IS offers a wide variety of scientific seminars, workshops, and social activities. All aspects of our program are in English. Your doctoral degree will be conferred when you successfully complete your Ph.D. project. Our dedicated staff members will assist you throughout your time as a doctoral student.