The Institute of General Psychology, Biopsychology and Methods of Psychology, Chair of Cognitive and Clinical Neuroscience (Prof. Katharina von Kriegstein, https://tu-dresden.de/mn/psychologie/ifap/kknw) offers, subject to the availability of resources, a position as Research Associate / PhD student / Postdoc (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) with 75% of the fulltime weekly working hours for doctoral candidates or 100% for postdocs. The position is starting as soon as possible and has a duration of 3 years with possible extension. The period of employment is governed by the Fixed Term Research Contracts Act (WissZeitVG). The position offers the chance to obtain further academic qualification (e.g. PhD / habilitation thesis). The project: The position is part of ReDyslexia funded by ERANET-NEURON (https://www.neuron-eranet.eu/projects/ReDyslexia/). ReDyslexia is a research consortium of neuroscientists and clinicians that have the aim (1) to better understand sensory pathway dysfunction in developmental dyslexia, and (2) to directly use this knowledge for improving treatment strategies. ReDyslexia includes studies in humans with developmental dyslexia as well as experiments in animal models. Tasks: The task involves (i) using a neuroimaging and behaviour database to assess sensory pathway dysfunction in dyslexia during childhood development, (ii) employing neurostimulation, neuroimaging, and behavioural measurements to assess and establish novel treatment approaches in adult dyslexics, and (iii) collaborating with clinicians and wet-lab neuroscientists to develop common experimental paradigms across different developmental stages and species. The setting: TU Dresden is one of eleven German Universities of Excellence. It provides an outstanding scientific infrastructure and ideal environment for interdisciplinary cooperation. Developmental neuroimaging projects will be conducted in collaboration with Dr. R. Bethlehem (University of Cambridge, https://www.autismresearchcentre.com/staff/richard-bethlehem/). Experiments will be performed at the Neuroimaging Centre (NIC, http://www.nic-tud.de). The NIC is equipped with a research-only MRI machine (Siemens 3T Prisma), MRI-compatible EEG, eye-tracking and noise-cancellation headphones, and a neurostimulation unit including TMS, tDCS, and tFUS. All experimental facilities are supported by experienced physics and IT staff. For computational work, there is access to the Centre for Information Services and High Performance Computing at TU Dresden. The TU Dresden Graduate Academy offers a comprehensive training programme and individual career advice for early career researchers (https://tu-dresden.de/ga?set_language=en). Applications from women are particularly welcome. The same applies to people with disabilities. Contact for Questions: For questions about the position please contact Prof. Dr. Katharina von Kriegstein (katharina.von_kriegstein@tu-dresden.de). Application instruction: Please submit your complete application including (a cover letter that briefly describes your personal qualifications and future research interests, CV, contact details of 2 personal references, and 1-2 publications as PDF for postdocs) by sending it as a single PDF document preferably via the TU Dresden SecureMail Portal https://securemail.tu-dresden.de (subject: ReDyslexia2022) to julia.herdin@tu-dresden.de or by mail to: TU Dresden, Fakultät Psychologie, Institut für Allgemeine Psychologie, Biopsychologie und Methoden der Psychologie, Professur für Kognitive und Klinische Neurowissenschaft, Prof. Katharina von Kriegstein, Helmholtzstr. 10, 01069 Dresden. The deadline for applications is February 23, 2022 (stamped arrival date of the university central mail service applies). Please submit copies only, as your application will not be returned to you.

** FULL JOB AD => please follow the link ** - https://tud.link/rm7g The project: The position is part of ReDyslexia funded by ERANET-NEURON (https://www.neuron-eranet.eu/projects/ReDyslexia/). ReDyslexia is a research consortium of neuroscientists and clinicians that have the aim (1) to better understand sensory pathway dysfunction in developmental dyslexia, and (2) to directly use this knowledge for improving treatment strategies. ReDyslexia includes studies in humans with developmental dyslexia as well as experiments in animal models. Tasks: The task involves (i) using a neuroimaging and behaviour database to assess sensory pathway dysfunction in dyslexia during childhood development, (ii) employing neurostimulation, neuroimaging, and behavioural measurements to assess and establish novel treatment approaches in adult dyslexics, and (iii) collaborating with clinicians and wet-lab neuroscientists to develop common experimental paradigms across different developmental stages and species The setting: TU Dresden is one of eleven German Universities of Excellence. It provides an outstanding scientific infrastructure and ideal environment for interdisciplinary cooperation. Developmental neuroimaging projects will be conducted in collaboration with Dr. R. Bethlehem (University of Cambridge, https://www.autismresearchcentre.com/staff/richard-bethlehem/). Experiments will be performed at the Neuroimaging Centre (NIC, http://www.nic-tud.de). The NIC is equipped with a research-only MRI machine (Siemens 3T Prisma), MRI-compatible EEG, eye-tracking and noise-cancellation headphones, and a neurostimulation unit including TMS, tDCS, and tFUS. All experimental facilities are supported by experienced physics and IT staff. For computational work, there is access to the Centre for Information Services and High Performance Computing at TU Dresden. The TU Dresden Graduate Academy offers a comprehensive training programme and individual career advice for early career researchers (https://tu-dresden.de/ga?set_language=en). Applications from women are particularly welcome. The same applies to people with disabilities. Contact for Questions: For questions about the position please contact Prof. Dr. Katharina von Kriegstein (katharina.von_kriegstein@tu-dresden.de). Application instruction: Please submit your complete application including (a cover letter that briefly describes your personal qualifications and future research interests, CV, contact details of 2 personal references, and 1-2 publications as PDF for postdocs) by sending it as a single PDF document preferably via the TU Dresden SecureMail Portal https://securemail.tu-dresden.de (subject: ReDyslexia2022) to julia.herdin@tu-dresden.de or by mail to: TU Dresden, Fakultät Psychologie, Institut für Allgemeine Psychologie, Biopsychologie und Methoden der Psychologie, Professur für Kognitive und Klinische Neurowissenschaft, Prof. Katharina von Kriegstein, Helmholtzstr. 10, 01069 Dresden. The deadline for applications is February 23, 2022 (stamped arrival date of the university central mail service applies). Please submit copies only, as your application will not be returned to you.

The new research team NECTARINE at INRIA in Strasbourg / France aims to create a synergy between clinicians and scientists to develop new healthcare technologies. The team researchers collaborate closely with clinicians and choose their research focus along the clinical applications. Major scientific objectives are the development of advanced online- and offline simulations of neural activity on the macroscopic scale involving new numerical techniques for real-time computation and data-driven simulation dedicated to patient-specific modelling. The specific focus of the team's research is general anaesthesia, description of consciousness and attention and neurostimulation of patients suffering from mental disorders.

The PhD research topic will focus on understanding key mechanisms that enable specific cognitive functions in the brain, such as language comprehension, using a combination of computational neuroscience, machine learning, and experimental cognitive neuroscience techniques. The student will develop novel integrations of mechanistic physiological and generative AI-based theories of brain organization, and test these by designing, conducting, and analyzing experiments using advanced neuroimaging and neurostimulation technologies (EEG, fNIRS, TMS, MEG, fMRI, including mobile w/ VR/AR integration).

The PhD research topic will focus on understanding key mechanisms that enable specific cognitive functions in the brain, such as language comprehension, using a combination of computational neuroscience, machine learning, and experimental cognitive neuroscience techniques. The student will develop novel integrations of mechanistic physiological and generative AI-based theories of brain organization, and test these by designing, conducting, and analyzing experiments using advanced neuroimaging and neurostimulation technologies (EEG, fNIRS, TMS, MEG, fMRI, including mobile w/ VR/AR integration).

We are looking for a motivated research assistant / engineer (“ingénieur d’étude” – IE) with expertise in neuromorphic engineering to join the team of Drs. Timothée Levi, Fabien Wagner, and Amélie Aussel at the University of Bordeaux (Institut du Matériau au Système – IMS – and Institut des Maladies Neurodégénératives – IMN). The goal of the project is to expand our current efforts towards performing large-scale simulations of conductance-based neuronal models on FPGAs, with an application to neurostimulation of the hippocampal formation. The initial contract would be for a period of 1 year with an expected starting date on Oct 1st, 2024.

The Carney Institute for Brain Science at Brown University is seeking Postdoctoral Fellows to join the NIMH funded T32 Training Program in Computational Psychiatry. The program’s goal is to train research fellows with expertise in computational cognitive and systems neuroscience, capable of collaborating with clinical researchers to advance knowledge of psychiatric disorders and treatments. Eligible research topics include brain and cognitive modeling over multiple scales and levels of analysis (ranging from biophysics to artificial intelligence), and the use of these models to understand mechanisms of psychiatric disorders with the ultimate goal of improving treatments. The program applies an apprenticeship model in which fellows work with a primary research trainer in a computational field and a secondary research mentor in clinical psychiatry. In this apprenticeship model, the trainer works closely with the fellow and a secondary clinical psychiatry mentor, who is conducting research in areas such as neuroimaging, neurostimulation, digital phenotyping, and/or animal models. The list of eligible faculty trainers can be found on the Training Program in Computational Psychiatry’s website.

The National Institute for Computer Science and Control (INRIA) provides a postdoctoral fellowship on Mathematical modelling of neuronal EEG activity under brain stimulation. We are interested in developing neurostimulation techniques in order to improve the cure of patients suffering from mental disorders. To this end, our aim is to develop dynamic neural models and merging these data to experimentally observed data, such as EEG or BOLD responses. This merge may utilize diverse optimization techniques, such as data assimilation. The latter permits to estimate model parameters adaptively in non-stationary signals, i.e. online in time. A prominent example for a data assimilation technique is Kalman filtering. More detailed, we are looking for collaborators, who are interested in neural population models describing macroscopic brain activity in pathological brain states under neurostimulation. The mathematical analysis of such models typically yields important insights into the origin of the brain activity. Moreover, the merge with experimental data demands a certain understanding of data analysis techniques to prepare the experimental data and identify correctly good biomarkers. It would be advantageous if the candidate has some fundamental expertise in this respect. Finally, the perfect future collaborator has already some expertise in parameter estimation techniques, especially in data assimilation.

Efficient cognition requires flexible interactions between distributed neural networks in the human brain. These networks adapt to challenges by flexibly recruiting different regions and connections. In this talk, I will discuss how we study functional network plasticity and reorganization with combined neurostimulation and neuroimaging across the adult life span. I will argue that short-term plasticity enables flexible adaptation to challenges, via functional reorganization. My key hypothesis is that disruption of higher-level cognitive functions such as language can be compensated for by the recruitment of domain-general networks in our brain. Examples from healthy young brains illustrate how neurostimulation can be used to temporarily interfere with efficient processing, probing short-term network plasticity at the systems level. Examples from people with dyslexia help to better understand network disorders in the language domain and outline the potential of facilitatory neurostimulation for treatment. I will also discuss examples from aging brains where plasticity helps to compensate for loss of function. Finally, examples from lesioned brains after stroke provide insight into the brain’s potential for long-term reorganization and recovery of function. Collectively, these results challenge the view of a modular organization of the human brain and argue for a flexible redistribution of function via systems plasticity.

In this talk I present the perspectives of the "neuropunk revolution'' technologies. One could understand the "neuropunk revolution'' as the integration of real-time neurosimulations into biological nervous/motor systems via neurostimulation or artificial robotic systems via integration with actuators. I see the added value of the real-time neurosimulations as bridge technology for the set of developed technologies: BCI, neuroprosthetics, AI, robotics to provide bio-compatible integration into biological or artificial limbs. Here I present the three types of integration of the "neuropunk revolution'' technologies as inbound, outbound and closed-loop in-outbound systems. I see the shift of the perspective of how we see now the set of technologies including AI, BCI, neuroprosthetics and robotics due to the proposed concept for example the integration of external to a body simulated part of the nervous system back into the biological nervous system or muscles.