Post-doc position in the area of Spiking Neural Networks
The Machine Learning group at the Centrum Wiskunde & Informatica (CWI) in Amsterdam invites applicants for a
Post-doc position (2 or 3 years) in the area of Spiking Neural Networks.
We are looking for a motivated postdoctoral researcher with expertise in the area of spiking neural networks and an interest in probabilistic computing.
The postdoc candidate will participate in the recently awarded NWO NWA ORC project "Acting under uncertainty". The goal of this project is to advance our understanding how humans are able to act in complex and uncertain circumstances, and how such knowledge can be applied to smooth our interaction with emerging autonomous vehicles. The whole project encompasses a broad spectrum of academic, industrial and societal partners and includes a large group of researchers. The postdoc position will advance state-of-the-art in spiking neural networks and their real-world applicability in applications like drones and other autonomous vehicles, and close collaboration is foreseen with labs at TU Delft, IMEC NL, and NLR. Some project management related tasks will also be part of the candidate's responsibilities.
Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering, or related fields. Candidates are expected to have a demonstrable interest in bio-inspired neural networks and probabilistic approaches, and to have an excellent command of English.
Terms and conditions
The position is for two or three years, with the possibility of an extension for a total duration of four years.
The terms of employment are in accordance with the Dutch Collective Labor Agreement for Research Centres ("CAO-onderzoeksinstellingen"). The gross monthly salary for an employee on a full time basis, depending on relevant work experience, ranges from € 3,704 to € 4,514. Employees are also entitled to a holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.33%. CWI offers attractive working conditions, including flexible scheduling.
Please visit our website for more information about our terms of employment:
Information and application
Applications should include:
a motivation letter;
a curriculum vitae with a list of publications;
Evaluation of candidates will begin immediately, and continue until the position is filled. We aim to fill the position in January 2022.
The deadline for the application is 14 November 2021.
Additional information can be obtained from Prof. Sander Bohte, email: email@example.com
For more information about CWI, please visit https://www.cwi.nl/ or watch our video about working at CWI.
CWI encourages a diverse workforce: we endeavour to develop talent and creativity by bringing people from different backgrounds and cultures together. We recruit and select based on capabilities and talent. We strongly encourage everyone with the appropriate qualifications to apply for the vacancy, regardless of age, gender, origin, sexual orientation or physical abilities.
Centrum Wiskunde & Informatica (CWI) is the Dutch national research institute for mathematics and computer science and is an institute of the Netherlands Organisation for Scientific Research (NWO). The mission of CWI is to conduct pioneering research in mathematics and computer science, generating new knowledge in these fields and conveying it to trade, industry, and society at large. CWI is an internationally oriented institute, with 160 scientists from approximately 30 countries. The facilities are first-rate and include excellent IT support, career planning, training, and courses. CWI is located at Amsterdam Science Park which is home to one of the largest concentrations of beta science in Europe. A melting pot of innovation. Companies looking to collaborate can work together with brilliant students, scientists and fellow entrepreneurs. Collectively they develop revolutionary solutions for today’s issues and tomorrow’s challenges.
About Research group
The CWI Machine Learning research group focuses on how computer programs can learn from and understand data, and then make useful predictions based on it. These algorithms integrate insights from various fields, including statistics, artificial intelligence and neuroscience. Machine-learning applications are increasingly part of every aspect of life, from speech recognition on cell phones to illness prediction in healthcare.
The group is involved in multiple national and international efforts, including the Human Brain Project (SGA3) on neurocognitive modelling, the statistics of privacy preserved health-care in an NWO COMMIT2Data project, the ELLIS network, and the recently awarded NWO NWA ORC project on Acting Under Uncertainty.
To find more information about CWI and the Machine Learning group, please visit their webpages and watch their video.