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The laboratory of Dr. Alexandre Tiriac is seeking an ambitious candidate for a postdoctoral research position. The Tiriac lab studies how various factors promote or impair the development of the nervous system with the goal of understanding the neural basis of cognitive disorders. Specifically, we are interested in recruiting a postdoctoral researcher interested in taking the lead on a project studying the role of brain states on the development of the nervous system. We study these questions in the mouse visual system, but opportunities exist to branch out to other sensory and motor systems. More information about our current research projects can be found here (https://www.tiriaclab.org/research). With mentorship from Dr. Tiriac, the postdoctoral researcher is expected to independently design and conduct experiments. Example research techniques include dissections, surgeries, calcium imaging using two-photon microscopy, electrophysiological recording using multielectrode arrays, processing brain tissue for histology, and computational techniques. The postdoctoral researcher is expected to perform data analyses, generate figures, and draft research manuscripts that will be submitted to neuroscience journals. Support will be provided for the postdoctoral researcher to attend at least one scientific conference a year to network and present data. If desired by the candidate, the postdoctoral researcher would be supported in the submission of competitive grant applications (e.g.: F32, K99/R00, LSRF, T32). A curated mentorship plan will be designed depending on the candidate’s career goal (industry vs tenure track position). The Tiriac lab strives to provide a supportive and inclusive research environment that fosters interdisciplinary training and collaborative exchange. The lab is based in Vanderbilt’s Department of Biological Sciences. We are also affiliated with the Vanderbilt Brain Institute and the Vanderbilt Vision Research Center. As part of so these programs, the Tiriac lab has access to numerous cores that enhance and speed up our research (currently used example cores: automated genotyping, microscopy core, histology core, and behavior core).
Chair, Department of Mechanical Engineering - Vanderbilt University | Nashville, Tennessee Vanderbilt University School of Engineering invites nominations and applications for the Chair of the Department of Mechanical Engineering (ME) position. ME Department seeks a visionary leader and team builder who will further enhance the department’s position as a global leader in ME education and research. Reporting to the Dean of Engineering, the incoming chair is expected to build upon the department’s internationally recognized programs and lead the ME program to greater distinction and impact. Housed in the Vanderbilt University School of Engineering (VUSE), the Department of Mechanical Engineering is accredited by ABET, the Engineering Accreditation Commission, and is highly respected nationally. The ME department is home to 23 primary faculty (16 tenured/tenure track) and graduates 50-70 undergraduates annually. The department has 60-70 PhD students in its program and conducts research supported by approximately $8M of annual research expenditures. The department is recognized for its strong research excellence in surgical robotics and rehabilitation engineering, nanophotonics, nanoscale energy transport, biomaterials and biomedical microdevices, flow-structure interactions, combustion diagnosis, and additive manufacturing. The departmental faculty plays critical roles in several research centers, including the Vanderbilt Institute of Surgery and Engineering (VISE), Vanderbilt Institute of Nanoscale Science and Engineering (VINSE), the FRIST Center for Autism and Innovation, and the newly established Vanderbilt Center for Sustainability, Energy, and Climate (VSEC). The department has also developed extensive collaborative research programs including those with the Vanderbilt University Medical Center. We seek a leader who will move the department forward with a strong record of mentorship, community building, and support of others. The ideal candidate exhibits outstanding scholarship and a collegial, transparent, collaborative yet decisive, and empowering leadership style. The potential candidate must be an innovative, inclusive, and forward-looking leader with significant recognition for high-impact scholarship, a strong commitment to interdisciplinary research and education, and must have comprehensive leadership acumen in mentoring faculty, staff, and students. The department chair must effectively communicate the department’s goals and vision internally, across departments, with the dean and university leadership, and with external stakeholders, including alumni and donors. Candidates must also bring a nationally and internationally recognized and well-funded research program that will strengthen one or more of the areas of research excellence in the university. Ultimately, the department chair must be committed to Vanderbilt University’s mission to bring out the best in humanity by pushing new ideas into the frontiers of discovery and working diligently to serve others. Applications should include (i) a cover letter highlighting the vision and leadership experience of the candidate, (ii) a complete curriculum vitae, (iii) a statement of research, (iv) a statement of teaching, and (v) a minimum of three references. Application materials are to be submitted online at http://apply.interfolio.com/143969. Applications will be reviewed as they are received; those received by July 1, 2024, will be given full consideration. Ranked #18 nationally according to the U.S. News and World Report, Vanderbilt University is a private, internationally recognized research university located on 330 park-like acres 1.5 miles from downtown Nashville, Tennessee. Its ten distinct schools share a single cohesive campus that values collaboration. The University enrolls over 13,700 undergraduate, graduate, and professional students, including 38% students of color and over 1,700 international students. With over two million metro population, Nashville’s top employers include trade, transportation, and utilities; education and health services; professional and business services; government; and leisure and hospitality. Other industries include manufacturing, financial activities, construction, and information. Long known as a hub for health care and music, Nashville is a technology center with a considerable pool of health care, AI, and defense-related jobs available. In recent years, the city has experienced an influx of major office openings by some of the largest global tech companies and prime Silicon Valley startups. At Vanderbilt University, we are intentional about and assume accountability for fostering advancement and respect for equity, diversity, and inclusion for all students, faculty, and staff. Our commitment to diversity makes us who we are. We have created a community that celebrates differences and lets individuality thrive. As part of this commitment, we actively value diversity in our workplace and learning environments as we seek to take advantage of everyone's rich backgrounds and abilities. The diverse voices of Vanderbilt represent an invaluable resource for the University in its efforts to fulfill its mission and strive to be an example of excellence in higher education. Vanderbilt University is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran, or any other characteristic protected by law.
The Center for Neuroscience and Cell Biology of the University of Coimbra (CNC-UC) is seeking an enthusiastic PostDoctoral researcher to work at the interface between Behavioral, Systems and Computational Neuroscience. Supported by the European Union's Horizon 2020 Research and Innovation programme, under the project DYNABRAIN, the PostDoctoral fellow will conduct research activities in modelling and simulation of reward-modulated prosocial behavior and decision-making. The position is part of a larger effort to uncover the computational and mechanistic bases of prosociality and empathy at the behavioral and circuit levels and will be co-supervised by Cristina Marquez and Renato Duarte. It offers a great opportunity to work at the interface between experimental data (animal behavior and electrophysiology) and theoretical modelling (emphasis on Multi-Agent Reinforcement Learning and neural population dynamics) and to be part of a dynamic, friendly and stimulating research group. Based in Coimbra and Cantanhede and embedded in one of Europe's oldest Universities and a UNESCO World Heritage site, the CNC-UC has a vibrant neuroscience community and the region offers exceptional quality of life.
The Neuroscience Department of the International School for Advanced Studies (SISSA; https://www.sissa.it/research/neuroscience) invites expressions of interest from scientists from various fields of Neuroscience for multiple tenure-track positions with anticipated start in 2025. Ongoing neuroscience research at SISSA includes cognitive neuroscience, computational and theoretical neuroscience, systems neuroscience, molecular and cellular research as well as genomics and genetics. The Department intends to potentiate its activities in these fields and to strengthen cross-field interactions. Expressions of interest from scientists in any of these fields are welcome. The working and teaching language of SISSA is English. This is an equal opportunity career initiative and we encourage applications from qualified women, racial and ethnic minorities, and persons with disabilities. Candidates should have a PhD in a relevant field and a proven record of research achievements. A clear potential to promote and lead research activities, and a specific interest in training and supervising PhD students is essential. Interested colleagues should present an original and innovative plan for their independent future research. We encourage both proposals within existing fields at SISSA as well as novel ideas outside of those or spanning various topics and methodologies of Neuroscience. SISSA is an international school promoting basic and applied research in Neuroscience, Mathematics and Physics and dedicated to the training of PhD students. Lab space and other resources will be commensurate with the appointment. Shared facilities include cell culture rooms, viral vector facilities, confocal microscopes, animal facilities, molecular and biochemical facilities, human cognition labs with EEG, TMS, and eye tracking systems, mechatronics workshop, and computing facilities. Agreements with national and international MRI scanning facilities are also in place. SISSA encourages fruitful exchanges between neuroscientists and other researchers including data scientists, physicists and mathematicians. Interested colleagues are invited to send a single pdf file including a full CV, a brief description of past and future research interests (up to 1,000 words), and the names of three referees to neuro.search@sissa.it. Selected candidates will be invited for an online or in-person seminar and 1- on-1 meetings in summer/autumn 2024. Deadline: A first evaluation round will consider all applications submitted before 15 May 2024. Later applications might be considered if no suitable candidates have been identified yet.
We currently offer up to 21 fully funded Ph.D. positions to ambitious and creative researchers with a background in Neuroscience, Immunology, (Bio) Engineering, (Bio) Informatics, Computer Science, (Bio) Chemistry, (RNA, Cell or Molecular) Biology, Genetics or a related field to take their first steps as professional researchers with us. We offer - Interdisciplinary Ph.D. programs that gives you the freedom to tailor parts of your curriculum to suit your individual interests - Cutting-edge basic and applied (medical) research - Interesting projects and daily tasks - Like-minded colleagues - Supportive environment for personal and professional growth - Modern and highly specialised equipment, such as the Tesla7 just to name one example - A triple-track system that allows easy access to patients (data) for clinical trials or user feedback - An international and well-connected research community - Advanced training and mentoring programs - Live and work in one of the most livable places - Vienna Our commitment to You We believe in what we do. Training the next generation of young scientists is a long tradition of ours! MedUni Vienna has trained doctors and young researchers since 1365 and offers a long tradition in research and education. Here you can work closely with respected academics and researchers while taking your first independent steps as a scientist. Your work will shape the knowledge base of tomorrow's doctors and have a positive influence on the lives of many people. A Ph.D. provides a launchpad for an esteemed vocation doing meaningful work while crafting a career you love. For more detail on our interdisciplinary Ph.D. program, reach out and apply today. Application guidelines: Please note that we only accept applications submitted through our online portal. Applications sent via mail or email cannot be processed for administrative reason. If you have any questions about the application process, please refer to our Application Guide and FAQs, or contact our PhD Call Coordinator for further advice.
Up to 6 PhD positions in Cognitive Neuroscience are available at SISSA, Trieste, starting October 2024. 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, visual perception, motivation and intelligence, language and reading, tactile perception and learning, and neural computation. Our research is highly interdisciplinary; our approaches include behavioural, 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. This year, one of the PhD scholarships is set aside for joint PhD projects across PhD programs within the Neuroscience department (https://www.sissa.it/research/neuroscience). The selection procedure is now open. The application deadline is 28 March 2024. To learn how to apply, please visit https://phdcns.sissa.it/admission-procedure . Please contact the PhD Coordinator Mathew Diamond (diamond@sissa.it) and/or your prospective supervisor for more information and informal inquiries.
The Gonçalves lab is a recently founded research group at the Neuro-Electronics Flanders (NERF), Belgium, co-affiliated with the VIB Center for AI & Computational Biology. We are currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning. In particular, we develop machine learning methods to derive mechanistic insights from neuroscience data and apply them to challenging neuroscience problems: from the retrieval of complex input-output functions of biophysically-detailed single neurons to the full characterisation of mechanisms of compensation for perturbations in neural circuits. We work in an interdisciplinary, collaborative, and supportive work environment, which emphasizes diversity and inclusion. NERF is a joint research initiative by imec, VIB and KU Leuven. We are looking for a PhD and a postdoc candidates interested in developing machine learning methods and applying them to neuroscience problems. There will be flexibility to customise the project and ample opportunities to collaborate with top experimental and theoretical partners locally and internationally. More details about the positions and the lab can be found at https://jobso.id/hz2b https://jobso.id/hz2e
This position will focus on the neural mechanisms underlying action learning in mice. Scientifically the project aims to understand the neural circuits, activities and behavioral dynamics behind how animals learn what actions to take for reward. Dopaminergic systems and associated circuitries will be the focus of investigation. This lab integrates wireless inertial sensors, closed loop algorithms, optogenetics and neural recording to pursue this goal.
The Gatsby Unit invites applications for a postdoctoral training fellowship under Dr Agostina Palmigiano, focussed on developing theoretical approaches to investigate the mechanisms underlying sensory, motor or cognitive computations. You will be responsible for the primary execution of the project (with opportunities for co-supervision of students), presentation of results at conferences and seminars, and publication in suitable media. This post is initially funded for 2 years with the possibility of a one-year extension at the end of the period. For detailed information on the role and how to apply, please visit www.ucl.ac.uk/gatsby/vacancies under 'Research Fellow (Palmigiano group)'. Agostina will also be at COSYNE 2024 between 29 February and 5 March. Please get in touch to set up informal chats with her if interested!
The Varela lab is expanding, and we are excited to announce a new postdoctoral position to grow our current team in the Psychology Department at Florida State University (https://varelalab.create.fsu.edu/). Start date flexible within 2024. 1-2 years with possibility of extension. About us: The Varela Laboratory is dedicated to understanding the neural underpinnings of learning and memory in rodents, with a strong focus on investigating the role of the thalamus in sleep-dependent memory consolidation. We employ a wide array of cutting-edge neuroscience techniques, including electrode recordings in freely behaving rodents, closed-loop brain activity manipulations, optogenetics, and computational approaches. *** What you get *** • Work on exciting and impactful projects aimed at understanding the role of higher-order thalamic circuits in learning and memory. • Develop research skills utilizing state-of-the-art techniques in systems, behavioral and computational neuroscience. • Receive mentorship within a supportive lab environment situated in a large, multidisciplinary department spanning work in neuroscience and psychology (https://psychology.fsu.edu/).
The Department for Sensory and Sensorimotor Systems of the Max-Planck-Institute for Biological Cybernetics studies the processing of sensory information (visual, auditory, tactile, olfactory) in the brain and the use of this information for directing body movements and making cognitive decisions. The research is highly interdisciplinary and uses theoretical and experimental approaches in humans. Our methodologies include visual psychophysics, eye tracking, fMRI, EEG, TMS in humans. For more information, please visit the department website: www.lizhaoping.org We are currently looking for a Lab Mechatronics / Programmer/ Research and Admin Assistant (m/f/d) 100% to join us, this position is open until it is filled. The position: You will provide hardware, software, data taking, and managerial support for a diverse set of brain and neuroscience research activities. This includes: • Computer and IT support of Windows and Linux systems• Programming and debugging of computer code, especially at the stage of setting up new equipment or new experimental platforms • Provide technical, administrative, and operational support in the research data taking process. (The position holder should either have previous experience in visual psychophysics, or have the ability to quickly learn the data taking processes involved in the labs.) • Carry out or arrange for hardware repairs and troubleshooting• Equipment inventory and maintenance • Supervising and training of new equipment users • Setting up, updating and managing the database of knowledge and data from research projects, personnel and activities Our department is interdisciplinary, with research activities including human visual psychophysics, eye tracking, fMRI, EEG, TMS. We are looking for a person with a broad technical knowledge base, who loves working in a scientific environment and who is curious, open-minded, and able to adapt and learn new skills and solve new problems quickly. The set of skills that the individual should either already have or can quickly learn includes: MATLAB/Psychotoolbox, Python/OpenCV, Javascript, graphics and display technologies, EEG data taking techniques and similar, eye tracking, optics, electronics/controllers/sensors, etc. We offer: We offer highly interesting, challenging and varied tasks; you will work closely and collaboratively with scientists, students, programmers, administrative staff, and central IT and mechanical/electronic workshop support to help achieve the scientific goals of the department. An international environment with regular opportunities for further education and training awaits you. The salary is paid in accordance with the collective agreement for the public sector (TVöD Bund), based on qualification and experience and will include social security benefits and additional fringe benefits in accordance with public service provisions. This position is initially limited to two years, with the possibility of extensions and a permanent contract. The Max Planck Society seeks to employ more handicapped people and strongly encourages them to apply. Furthermore, we actively support the compatibility of work and family life. The Max Planck Society also seeks to increase the number of women in leadership positions and strongly encourages qualified women to apply. The Max Planck Society strives for gender equality and diversity. Your application: The position is available immediately and will be open until filled. We look forward to receiving your application that includes a cover letter, your curriculum vitae, relevant certificates, and three names and contacts for reference letters electronically by e-mail to jobs.li@tuebingen.mpg.de, where informal inquiries can also be addressed to. Please note that incomplete applications will not be considered. For further opportunities in our group, please visit https://www.lizhaoping.org/jobs.html
The Cognitive and Systems Neuroscience Group at the University of Amsterdam is seeking a highly qualified and motivated candidate for a PhD position in Computational Neuroscience. The position falls under the Horizon Health Europe Consortium grant “Virtual Brain Twins for Personalized Treatment of Psychiatric Disorders”. This Consortium constitutes a large collaboration between different European institutions, aiming to develop personalized brain simulation software (“virtual brain twins”) to improve the diagnosis and treatment of schizophrenia. The main objective of this PhD project is to develop a biologically realistic computational model of the human brain, and use it to study alterations in brain activity associated with schizophrenia. Such model will make use of local neural mass models (developed by our Consortium partners) to simulate multiple brain areas, and will bring them together using structural connectivity data from human subjects. The model will be then used to explore the effects of schizophrenia-related alterations in brain dynamics and function, and to derive patient-specific virtual brain simulations to improve diagnosis and explore treatments in collaboration with clinical Consortium partners. The project will be supervised by Dr. Jorge Mejias, principal investigator in computational neuroscience and leader of the Dutch component of the Consortium, and by Prof. Dr. Cyriel Pennartz, head of the Cognitive and Systems Neuroscience Group. You will closely collaborate with other Consortium members, particularly with the team of Prof. Viktor Jirsa at Aix-Marseille University, and will also benefit from interactions with local colleagues including other theoretical, computational and experimental neuroscientists at the Cognitive and Systems Neuroscience Group. For more information and to apply, visit the following link: https://vacatures.uva.nl/UvA/job/PhD-position-in-Computational-Neuroscience/786924102/
Postdoc position in Paris to study neural circuit dynamics and behaviour in cavefish The Mexican tetra, Astyanax mexicanus is a leading model for studying genetic mechanisms underlying trait evolution. A. mexicanus consists of a surface (river) and several cave populations that independently evolved in largely isolated caves, allowing for comparative approaches to identify genetic and neural variants associated with behavioral evolution. Cave populations of A. mexicanus exhibit prominent changes in sensory systems including loss of vision and expansion of smell, taste, mechanosensation and lateral line. Despite the robust changes in behavior and morphology, the shifts in processing sensory information within the brain have been unexplored. The Sumbre lab at the Ecole Normale Superieure, Paris, France is looking for a postdoc to study the evolution of brain processes and computations. For this purpose, we are using transgenic fish expressing GCaMP in combination with light-sheet microscopy to monitor the activity of the whole brain, with single-neuron resolution in an intact, behaving larvae. We are studying the differences in sensory processing (audition/vocalization, taste, lateral line, somatosensory and olfaction) between the surface and cavefish, to shed light on principles underlying the evolution of sensory systems. The lab is located at the Ecole normale supérieure, paris, France. www.ibens.ens.fr *For the postdoc position, it is necessary to have good programming skills, and some background in neuroscience. For more information you can contact Germán Sumbre sumbre@ens.fr www.zebrain.biologie.ens.fr
We are looking for a postdoctoral researcher to study the effects of neuromodulators in biologically realistic networks and learning tasks in the Vidi project 'Top-down neuromodulation and bottom-up network computation, a computational study'. You will use cellular and behavioural data gathered by our department over the previous five years on dopamine, acetylcholine and serotonin in mouse barrel cortex, to bridge the gap between single cell, network and behavioural effects. The aim of this project is to explain the effects of neuromodulation on task performance in biologically realistic spiking recurrent neural networks (SRNNs). You will use biologically realistic learning frameworks, such as force learning, to study how network structure influences task performance. You will use existing open source data to train a SRNN on a pole detection task (for rodents using their whiskers) and incorporate realistic network properties of the (barrel) cortex based on our lab's measurements. Next, you will incorporate the cellular effects of dopamine, acetylcholine and serotonin that we have measured into the network, and investigate their effects on task performance. In particular, you will research the effects of biologically realistic network properties (balance between excitation and inhibition and the resulting chaotic activity, non-linear neuronal input-output relations, patterns in connectivity, Dale's law) and incorporate known neuron and network effects. You will build on the single cell data, network models and analysis methods available in our group, and your results will be incorporated into our group's further research to develop and validate efficient coding models of (somatosensory) perception. We are therefore looking for a team player who can collaborate well with the other group members, and is willing to both learn from them and share their knowledge.
The Center for Computational Neuroscience (CCN) aims to develop theories, models, and computational methods that deepen our knowledge of brain function — both in health and in disease. CCN takes a “systems" neuroscience approach, building models that are motivated by fundamental principles, that are constrained by properties of neural circuits and responses, and that provide insights into perception, cognition and behavior. This cross-disciplinary approach not only leads to the design of new model-driven scientific experiments, but also encapsulates current functional descriptions of the brain that can spur the development of new engineered computational systems, especially in the realm of machine learning. CCN is one of five centers that make up the Flatiron Institute, an internal scientific unit of the Simons Foundation, focused on computational aspects of a wide range of basic science. The general mission of the Flatiron Institute is to advance scientific research through computational methods, including theory, modeling, simulation and data analysis. CCN’s core research groups include computational vision (Eero Simoncelli, PI), neural circuits and algorithms (Dmitri ‘Mitya’ Chklovskii, PI), neuroAI and geometric data analysis (SueYeon Chung, PI), statistical analysis of neural data (Alex Williams, PI). Candidates must select a primary group for their application, and can optionally indicate a secondary group. Candidates specifically interested in contributing to open source software projects at CCN should indicate the NeuroRSE group as their secondary group. POSITION SUMMARY CCN invites applications for paid summer internship positions by motivated students in computational neuroscience, physics, electrical engineering, machine learning, computer science or related fields. The purpose of this Summer Internship Program is to allow students studying in a relevant field the opportunity to be employed at the CCN for the purpose of collaborating on a research project with one or more CCN staff mentors. Knowledge of neuroscience is helpful but not required. Interested applicants should review the research group pages listed above, and should describe in their research statement the project on which they'd like to collaborate and the research group(s) with whom they’d like to work. Undergraduate students will be appointed with the title of Summer Research Assistant, graduate students will be appointed with the title of Summer Research Associates, and advanced doctoral students (defined as doctoral students who have passed comprehensive/qualifying exams and are actively working on their thesis) will be appointed as Summer Predoctoral Scholars. CCN Summer Interns are invited to participate as full members of the CCN and Flatiron communities during their term of residency. CCN Summer Interns are assigned a primary mentor and research group within the center, are invited to attend and present within their research group’s meetings, and are also invited to participate in meetings of CCN’s other research groups as well as center- and Flatiron-wide activities such as guest lectures, training on use of the Institute’s robust scientific computing resources, and intern social activities. Finally, Summer Interns will be invited to present their work at an Institute-wide symposium held at the end of the residency period. The CCN Summer Internship Program will take place in-person at the Simons Foundation’s offices in New York City. CCN will provide eligible Summer Interns roundtrip travel to New York City and subsidized housing for the duration of their employment. Intern appointment titles and compensation will be determined based on the intern’s education level and experience. Visit the Summer at Simons page to learn more. ESSENTIAL FUNCTIONS/RESPONSIBILITIES • Reporting to the assigned mentor in the CCN, the projects will involve analysis of neuroscience data and modeling networks, applying the skills of analytical calculations and computer programming • Perform any other duties or tasks as assigned or required COMPENSATION • Interns at the Research Assistant (undergraduate) level will earn $20.00 per hour • Interns at the Research Associate (graduate) level will earn $25.00 per hour • Interns at the Predoctoral Researcher (advanced doctoral students) will earn $28.85 per hour.
Postdoctoral Research Associate Position in Computational Neuroscience (Computational Modelling of Decision Making) Applications are invited for an externally funded Postdoctoral Research Associate position at the Intelligent Systems Research Centre (ISRC) in Ulster University, UK. The successful candidate will develop and apply computational modelling, and theoretical and analytical techniques to understand brain and behavioural data across primate species, and to apply biologically based neural network modelling to elucidate mechanisms underlying perceptual decision-making. The duration of the position is 24 months, from January 2024 till end of 2025. The personnel will be based at the ISRC in Ulster University, working with Prof. KongFatt Wong-Lin and his team, while collaborating closely with international collaborators in the USA and the Republic of Ireland, namely, Prof. Michael Shadlen at Columbia University (USA), Prof. Stephan Bickel at Northwell-Hofstra School of Medicine (USA), Prof. Redmond O'Connell at Trinity College Dublin (Ireland), Prof. Simon Kelly at University College Dublin (Ireland), and Prof. S. Shushruth at University of Pittsburgh (USA). The ISRC is dedicated to developing a bio-inspired computational basis for AI to power future cognitive technologies. This is achieved through understanding how the brain works at multiple levels, from cells to cognition and apply that understanding to create models and technologies that solve complex issues that face people and society. All applicants should hold a degree in in Computational Neuroscience, Computational Biology, Neuroscience, Computing, Engineering, Mathematics, Data Science, Physical Sciences, Biology, or a cognate area. Apply online: https://my.corehr.com/pls/coreportal_ulsp/erq_jobspec_version_4.display_form?p_company=1&p_internal_external=E&p_display_in_irish=N&p_applicant_no=&p_recruitment_id=023762&p_process_type=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y Closing date for receipt of completed applications: 8th November 2023. Job Ref: 023762. For any informal enquiries regarding this position, please contact KongFatt Wong-Lin; email: k.wong-lin@ulster.ac.uk ; website: https://www.ulster.ac.uk/staff/k-wong-lin
Flatiron Research Fellow (Postdoctoral Fellow), NeuroAI and Geometric Data Analysis Description Applications are invited for Flatiron Research Fellowships (FRF) in the NeuroAI and Geometric Data Analysis Group (SueYeon Chung, PI) at the Center for Computational Neuroscience at the Flatiron Institute of the Simons Foundation, whose focus is on understanding computation in the brain and artificial neural networks by: (1) analyzing geometries underlying neural or feature representations, embedding and transferring information, and (2) developing neural network models and learning rules guided by neuroscience. To do this, the group utilizes analytical methods from statistical physics, machine learning theory, and high-dimensional statistics and geometry.The CCN FRF program offers the opportunity for postdoctoral research in areas that have strong synergy with one or more of the existing research groups at CCN or other centers at the Flatiron Institute. In addition to carrying out an independent research program, Flatiron Research Fellows are expected to: disseminate their results through scientific presentations, publications, and software release, collaborate with other members of the CCN or Flatiron Institute, and participate in the scientific life of the CCN and Flatiron Institute by attending seminars, colloquia, and group meetings. Flatiron Research Fellows may have the opportunity to organize workshops and to mentor graduate and undergraduate students. The mission of CCN is to develop theories, models, and computational methods that deepen our knowledge of brain function — both in health and in disease. CCN takes a “systems" neuroscience approach, building models that are motivated by fundamental principles, that are constrained by properties of neural circuits and responses, and that provide insights into perception, cognition and behavior. This cross-disciplinary approach not only leads to the design of new model-driven scientific experiments, but also encapsulates current functional descriptions of the brain that can spur the development of new engineered computational systems, especially in the realm of machine learning. CCN’s current research groups include computational vision (Eero Simoncelli, PI), neural circuits and algorithms (Dmitri ‘Mitya’ Chklovskii, PI), neuroAI and geometric data analysis (SueYeon Chung, PI), and statistical analysis of neural data (Alex Williams, PI), and is planning to expand the number of research groups in the near term. Interested candidates should review the CCN public website for specific information on CCN’s research areas. Applicants who are interested in a joint appointment between two CCN research groups should submit the same application to both groups, noting the dual application in their research statement. Please note that Alex William’s statistical analysis of neural data group is not recruiting at CCN in 2023. FRF positions are two-year appointments and are generally renewed for a third year, contingent on performance. FRF receive a research budget and have access to the Flatiron Institute’s powerful scientific computing resources. FRF may be eligible for subsidized housing within walking distance of the CCN. Review of applications for positions starting between July and October 2024 will begin in November 2023. For more information about life at the Flatiron Institute, visit https://www.simonsfoundation.org/flatiron/careers.
Looking for a supportive, dynamic and inclusive environment to do cutting edge science? The Panagiotakos Lab at Mount Sinai has two postdoctoral positions open! Links for both positions below – come join us if you love neural development, ion channels or anything in between! The Panagiotakos Lab, in the Departments of Psychiatry and Neuroscience at the Icahn School of Medicine at Mount Sinai in New York, is seeking postdoctoral fellows (recently completed Ph.D., M.D. or M.D./Ph.D.) with expertise in calcium imaging, electrophysiology, developmental neuroscience, stem cell biology, and/or genomics/sequencing approaches to study cellular and molecular mechanisms that underlie the acquisition of cell fate during mammalian brain development. Dr. Panagiotakos’ team combines multiple complementary approaches, including genetic mouse models, calcium imaging, fluorescence microscopy, pharmacology, cortical slice cultures, and various omics and biochemical analyses, to interrogate roles for calcium signaling, electrical activity, ion channel splice isoforms, and disease risk genes during normal development and in the context of neuropsychiatric disorders of developmental origin. The qualified candidates will use cutting-edge cellular/molecular biology, imaging and sequencing approaches in these studies, including long-isoform sequencing, CUT&RUN, and live imaging, to investigate the impact and mechanistic underpinnings of disease-relevant ion channels and calcium signaling on cellular events during brain development, including proliferation, migration, neurogenesis and gliogenesis.
The role The School of Engineering Mathematics and Technology at the University of Bristol is seeking to appoint a Senior Lecturer / Associate Professor whose research encompasses neural computation, machine learning and AI. If you are earlier in your career the post is also available at Lecturer level. The University of Bristol is an exciting centre for research into the nature of computation and inference in humans, animals and machines. Our computational neuroscience group has made important contributions in, for example, Bayesian approaches to data and inference, biomimetic deep learning, anatomically-constrained neural networks and the theory of neural networks. The University has a long tradition of cross-disciplinary research and Computational Neuroscience is part of both the Bristol Neuroscience Network and the Intelligent Systems Group; we are recognised for our central role in the local neuroscience and machine learning/AI communities. You would be joining the University at an exciting time as we embark on a £500M investment in our new campus and while we create a home for the UK’s AI Research Resource with the UK’s most powerful supercomputer. We are committed to an inclusive and diverse environment where everyone can thrive. We welcome applicants from all backgrounds, especially those from under-represented communities. We offer flexible working arrangements to help balance professional and personal commitments. What will you be doing? You will conduct research at the interface between computational neuroscience and machine learning and contribute to the associated teaching on our degree programmes and to academic administration. You will take part in our lively research community and join our internationally renowned researchers in producing high-quality research with the potential to secure research funding.
The VIB Center for AI & Computational Biology (VIB.AI) and KU Leuven are searching for three Principal Investigators to join their faculty (Group Leader at VIB, Professor at KU Leuven). We are particularly interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology. We welcome applications across all domains of machine learning, artificial intelligence, and associated fields. Examples of research topics include but are not limited to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. Biological applications are broad: microorganisms, plant biology, biodiversity and ecology, neuroscience, cancer, and immunology. We also welcome applicants with applied projects, including synthetic biology, AI-driven experiments (experiment-in-the-loop), and bio-engineering. This position comes with full salary and core funding (internationally competitive package) that is renewable for multiple additional 5-year periods, and access to state-of-the-art research and top-notch support core facilities, as well as support to attract talented PhD students and postdocs from across the world. Assignment Research. As a VIB Group Leader and KU Leuven Professor, you will be expected to (continue to) build your research program with your own independent research group, and to set up or consolidate a strong network with other researchers within VIB, KU Leuven and beyond. You strive for excellence in your research and thereby contribute to the scientific development of the new VIB.AI center. Teaching. The candidate will be appointed at the Faculty of Medicine or the Faculty of Engineering Science, and will take up teaching assignments (in English or in Dutch) in either of these faculties. You ensure high-quality education, with a clear commitment to the quality of the program as a whole. You also contribute to the pedagogic project of the university through the supervision of MSc theses and as a promoter of PhD students. Service. You provide scientific, societal and internal services that contribute to the reputation of the entire VIB and university. Your profile -PhD or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). -Candidates will be considered at junior or more senior levels assuming relevant experience in foundational machine learning research and/or applied machine learning in an academic and/or industrial setting (post-doctoral). -Excellent machine learning and programming experience. -Published impactful research, demonstrates creativity, originality and addresses relevant problems in biology & computational research. -Demonstrated ability to acquire competitive funding. -Interdisciplinary mindset and keen on collaborating broadly in the center, the department and the university. -Motivated to guide postdoctoral researchers, PhD interns, and full-time scientists. -International working experience. -You have a thorough knowledge of spoken and written English. -The official administrative language used at KU Leuven is Dutch. If you do not speak Dutch (or do not speak it well) at the start of employment, KU Leuven will provide language training to enable you to take part in meetings. Before teaching courses in Dutch or English, you will be given the opportunity to learn Dutch resp. English to the required standard. We offer -Substantial core research funding that is renewable every 5 years. -An attractive employment package including 100% of your salary and excellent health benefits. -Access to a vibrant academic environment that encourages collaboration with top experts in biology, computational biology, engineering and computer science both at VIB and KUL. -Access to a highly talented pool of students in biology, computational biology, engineering and computer science from the KUL bachelor and master programs. -New open-design state-of-the-art research space. -Access to computing cluster infrastructure at the VIB Data Core and Flemish Supercomputer Center. -Access to excellent and staffed core facilities at the Center, at VIB, and at KU Leuven (including sequencing, proteomics, single-cell, microscopy, data core, and many more). -Possibility to also perform wet lab activities in state-of-the-art infrastructure. -Broad administrative support, including help recruiting technicians, PhD students and post-doc scientists for your group. -Access to dedicated business development team specialized in technology transfer and valorization. -Professional leadership training. -An internationally recognized workplace that values diversity, promotes an inclusive environment. -Help with relocation and establishing a life in Belgium, including visa application (if necessary), and finding housing, schooling and daycare. -The successful candidate should also be selected for Professor at KU Leuven. About the VIB Center for AI and Computational Biology VIB (Flanders Institute for Biotechnology) is an entrepreneurial non-profit research institute, with a clear focus on ground-breaking strategic basic research in life sciences and operates in close partnership with the five universities in Flanders. VIB strives for a respectful and supportive working environment and a culture of belonging for diverse talents in the organization. VIB.AI was established in 2023 as the 10th VIB center, with the core mission to study fundamental problems in biology by combining machine learning with in-depth knowledge of biological processes. We aim to work towards foundation models and integrative theories of biological systems, and towards innovative AI-driven biotech applications in synthetic biology, agro-tech, and personalized medicine. AI-driven research at VIB.AI starts from biological questions and challenges that are addressed using state-of-the-art and novel computational and AI strategies, through close interactions and iterations with biological experiments and research labs within VIB.AI and across VIB. Additionally, we are committed to fostering computational and AI research excellence across all VIB Centers, amplifying collaboration (12 co-associated GLs) and pushing the boundaries of innovation in all of VIB’s research domains (plant biology, cancer biology, structural biology, medical biotechnology, neuroscience, immunology and microbiology). KU Leuven This position is linked to a professor position at KU Leuven. Based on the profile and research topic, this position is linked to a KU Leuven Department, namely DME, DCMM or ESAT/CS, with one position available per Department(s). Department of Human Genetics (DME) The DME Department of Human Genetics is a leading European center for Human Genetics. Its primary objectives revolve around achieving excellence in research, education, and translational applications. These efforts aim to enhance genetic diagnosis, counselling, therapy, and preventive measures. The department's research portfolio encompasses both fundamental and clinical research conducted across various domains, including cultured cells, animal models, and human subjects. The research focus of DME is genome structure, function, and development using state of the art genomics and bioinformatics methodologies and deploying them for the diagnosis and treatment of genetic disorders. Department of Cellular and Molecular Medicine (DCMM) The research focus of DCMM is the exploration of molecular mechanisms of disease: basic cellular and molecular processes and their (path)physiological effects, and their implications in various human diseases. DCMM combines expertise in techniques of biochemistry, electrophysiology, molecular biology, cell imaging, proteomics, bio-informatics and animal-model development to acquire novel insights into cellular signalling and communication processes. Major areas of research include signalling by ions, lipids and protein phosphorylation, chromatin structure and function, protein structure, (mis)folding and transport and cell metabolism, death, autophagy and differentiation. Department of Electrical Engineering (ESAT) ESAT works on several technological innovations in the fields of energy, integrated circuits, information processing, image & speech processing, and telecommunication systems. ESAT has seven distinct groups: Computer Security and Industrial Cryptography (COSIC), Electrical Energy Systems and Applications (ELECTRA), Electronic Circuits and Systems (MICAS), Micro- and Nanosystems (MNS), Processing Speech and Images and Center for Dynamical Systems (PSI), Signal Processing and Data Analytics (STADIUS) and Waves: Core Research and Engineering (WAVECORE). Department of Computer Science (CS) The Department of Computer Science is globally recognized for its exceptional research and academic programs in fields such as informatics, computer science, artificial intelligence, mathematical engineering, digital humanities, and teacher education. The CS department is comprised of five distinct units: Distributed and Secure Software (DistriNet), Declarative Languages and Artificial Intelligence (DTAI), Human-Computer Interaction (HCI), Numerical Analysis and Applied Mathematics (NUMA) and Computer Science. The Leuven Life Sciences eco-system and city of Leuven Leuven and the surrounding area of Northern Belgium (Flanders) represent one of the top research destinations in Europe. VIB.AI is part of the VIB Life Sciences Institute (with colleagues in cancer, biotechnology, immunology, plants, microbiology amongst others) and an extensive set of core facilities. KUL is the largest university in Belgium and Europe’s most innovative university and is home to the Leuven AI Institute and the Leuven University Hospital, one of the largest in Europe. Leuven is also home to Imec, a world-renowned research center for nanoelectronics and digital technology. Leuven is an attractive European university city with a rich history and a lively atmosphere. The area has a strong biotechnology sector with a wide variety of spin-offs and start-ups. This, together with the presence of the University of Leuven and the University Hospital, make Leuven particularly internationally-oriented and tech-minded, and a natural home for researchers and their families; the city was even awarded the title of European capital of innovation 2020 by the European Commission. English is very widely spoken in the city and surrounding area. Leuven offers an affordable, high standard of living, has an international school, and ample daycare options. The public education system and public health care system in Flanders are world-class, easily accessible, and low-cost to end users. Public transport is excellent and widely available. Brussels, the capital of Europe, is only 20 mins away. Leuven is also only 14 minutes by train from Brussels Airport which has many daily direct flights to North America, Africa and Asia. There are also high-speed direct international rail connections to numerous cities including Paris, London, Frankfurt and Amsterdam. Start date: 2024 How to apply? Please use the VIB HR application tool and upload -a cover/motivation letter -your full CV with publication list -a 2-page biosketch including your top 5 publications or achievements -contact details of 3 referees -a 2-4 page statement of your research plan including a brief statement reflecting your vision for the new VIB.AI center Application deadline: 31st January 2024 For more information Contact Stein Aerts (stein.aerts@vib.be) director VIB.AI
The Grossman Center for Quantitative Biology and Human Behavior at the University of Chicago seeks outstanding applicants for multiple postdoctoral positions in computational and theoretical neuroscience.
Do you want to understand how colours are made, measured and seen? A fully funded PhD position in the form of four-year employment is available at the University of Salzburg, Austria, in the Material Physics group led by prof. Bodo Wilts, where we explore composition, function, and development of natural and man-made nanostructures with optical, chemical and computational methods. Apply by Nov 22 2023, details at: https://euraxess.ec.europa.eu/jobs/161353
A two-year postdoctoral position in computational neuroscience and neural coding is open to investigate the role of hippocampal-dependent memory function in visual perceptual learning. The postdoc will work in Eugenio Piasini's group at the International School for Advanced Studies (SISSA), in close collaboration with Manuela Allegra at the Italian National Research Council (CNR).