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Postdoc Position in NeuroAI: Biologically Grounded Neural Networks for Cognition

Radboud University

Nijmegen
Contractor
5-10 years experience
Hybrid

€3,706 - €5,760 per month

Key Skills

Scientific Programming
Python
C
Deep Learning
PyTorch
TensorFlow
JAX
NeuroAI
Neuroscience
Cognitive Processes
Neural Networks
Cognitive Architecture Design
Neuromorphic Computing
Computational Neuroscience

Job Description

Can you help designing cognitive architectures to make brain implants smart in an international and interdisciplinary team involving the top neuroscience institutes in the Netherlands and thereby (ultimately) contribute to improve the life of patients? Brain implants are, for the most part, fixed-function devices. The EBRAINS-NEUROTECH infrastructure is building a tool chain that changes this: neural networks that perform the perceptual and cognitive processing an implant needs, run on-device, and can be adapted by the experimenter. You will build the core of that tool chain: a set of neural network modules for perception and cognition, grounded in what we know about the brain’s own mechanisms. For this position you will develop NeuroAI-in-practice: a set of neural network modules that can be easily used and adapted by an experimental user, while also giving publishable scientific insights in and of themselves. Two use-cases, involving processing for vision implants and implants for cognitive restoration, will guide the work. These networks also have to run on-device. Together with a postdoctoral researcher from the Centre for Mathematics and Computer Science (CWI), you will translate the designs to a neuromorphic architecture. Profile You are a scientific programmer or postdoctoral researcher with excellent programming skills and a strong interest in NeuroAI. You have a PhD degree in a quantitative field, such as physics, mathematics, computer science, engineering or computational or theoretical neuroscience. You have experience with programming in Python and C in combination with deep learning tools such as PyTorch, TensorFlow, and JAX. You have a background in neuroscience, preferably on mechanisms for cognitive processes, or a strong desire to obtain such a background. We offer We will give you a temporary employment contract of 1 year, with the possibility of a three- year extension (for a total duration of four years). Your salary within salary scale 10 depends on your previous education and number of years of (relevant) work experience. The amounts in the scale are based on a 38-hour working week. You will receive an 8% holiday allowance and an 8,3% end-of-year bonus. You will receive extra days off. With full-time employment, you can choose between 30 or 41 days of annual leave instead of the statutory 20. Additional Employment Conditions Work and science require good employment practices. This is reflected in Radboud University's primary and secondary employment conditions. You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able to compose part of your employment conditions yourself, for example, exchange income for extra leave days and receive a reimbursement for your sports subscription. And of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes. We are This position is physically hosted at the Neurophysics department of the Donders Institute at Radboud University. The work is part of the Software Platform of the EBRAINS-NEUROTECH infrastructure, involving teams at the University of Amsterdam (Dr Jorge Mejias), CWI (Prof. Sander Bohte) and Radboud University (Prof. Paul Tiesinga). The Donders Institute for Brain, Cognition and Behaviour is a world-class interfaculty research centre that houses more than 700 researchers devoted to understanding the mechanistic underpinnings of the human mind. Research at the Donders Institute is focused around four themes: Language and communication. Perception, action and decision-making. Development and lifelong plasticity. Natural computing and neurotechnology. Excellent, state-of-the-art research facilities are available for the broad range of neuroscience research that is being conducted at the Donders Institute. The Donders Institute has been assessed by an international evaluation committee as ‘excellent’ and recognised as a ‘very stimulating environment for top researchers, as well as for young talent’. The Donders Institute fosters a collaborative, multidisciplinary and supportive research environment with a diverse international staff. English is the lingua franca at the Institute. Practical information and applying You can apply only via the button below. Address your letter of application to Paul Tiesinga. We look forward to receiving your application. We ask you to include following documents with your application: Your CV. Your cover letter. The names and email addresses of at least two academic referees; three referees are preferred. The first interviews will take place on Tuesday 15 December. You will preferably start your employment as soon as possible. We can imagine you're curious about our application procedure. It describes what you can expect during the application procedure and how we handle your personal data and internal and external candidates. Do you already work at Radboud University and have questions about making an internal move? Learn more about internal applications.

Core Responsibilities

Develop adaptable, biologically grounded neural network modules for perception and cognition, guided by applications in vision implants and cognitive restoration. Collaborate with a CWI postdoctoral researcher to translate the network designs to a neuromorphic architecture so they can run on-device.

Requirements

Applicants must have a PhD in a quantitative field and excellent programming skills, including experience with Python and C alongside deep learning tools such as PyTorch, TensorFlow, or JAX. A neuroscience background, preferably in cognitive mechanisms, is preferred, or applicants should have a strong desire to develop one.

Benefits

  • Holiday Allowance
  • End-Of-Year Bonus
  • Additional Annual Leave
  • Flexible Working Hours
  • Leave Arrangements
  • Work-From-Home Options
  • Sports Subscription Reimbursement
  • Pension Plan
  • Training And Development
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