Postdoctoral researcher: Brain Computer Interfacing for ALS patients Radboud University, Faculty of Social Sciences

Postdoctoral researcher: Brain Computer Interfacing for ALS patients (0.8 - 1.0 FTE)

 

Faculty of Social Sciences 


Maximum salary: € 4,757 gross/month 


Vacancy number: 24.25.17 


Application deadline: 10 July 2017

 

Responsibilities

 

We are looking for a postdoctoral researcher with a strong background in signal processing and machine learning, evidenced by a PhD degree in this domain. The field in which you obtained your Master’s degree should preferably be one of the engineering sciences or neuroscience. You must be able to work in a highly multidisciplinary team, being able to communicate not only with BCI experts, but also with commercial and medical partners. Furthermore, you must be able to manage your own project and at the same time contribute to the supervision of, for example, PhD students. 


  
BCIs have been around for quite some time, but until now the full potential of the technology has not been realised due to poor information transfer rates, long training times, and inconvenient hardware. The Noise Tag BCI recently developed by our team overcomes these problems: there is no training required, fewer and dry electrodes (meaning a trendy ’wearable’ EEG cap) can be used, the method has robustness (e.g. against movement) and high accuracy. This patented technology is based on broadband evoked potentials and has already been used successfully when in 2016 the team won the assistive technology challenge at the Dublin symposium for ALS. The primary application of the technology will be for patients with locked-in syndrome, such as those in late stages of ALS, where the lack of means to communicate is a serious problem. The BCI technology has huge potential to improve their quality of life by restoring communication and interaction with their environment. 


  
You will be responsible for the integration of various methods and their optimisation, delivering a clean and clear MATLAB prototype that will be turned into production code.

 

Work environment

 

The Donders Institute for Brain, Cognition and Behaviour focuses on state-of-the-art cognitive neuroscience, using a multidisciplinary approach, and offers excellent lab and neuroimaging facilities, PhD supervision and courses, and technical support. The project will be embedded in the Donders research theme ‘Neuronal Communication’. The project will be embedded in the research programme of the Centre for Cognition of the Donders Institute, which is part of the Faculty of Social Sciences, one of the largest faculties at Radboud University in Nijmegen. The institute offers excellent research facilities, such as advanced EEG and eye movement registration, lab space, excellent access to fMRI and other neuroimaging facilities, and has an in-house technical workshop. The Donders Institute is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities.

 

What we expect from you

  • you have a strong background in signal processing and machine learning in the context of electrophysiological (EEG) data;
  • you have preferably experience with and knowledge of canonical correlation analysis, reconvolution, and template matching classification;
  • you have experience with developing and debugging MATLAB code and are able to write and elaborate clean and well-documented modular programs;
  • you have worked on online, real-time processing projects with data streaming;
  • you are able to formalise methods mathematically and to communicate them in a clear way, as demonstrated by first-authored articles;
  • you can bridge the distance between fundamental concepts and theories, on the one hand, and practical implementation and evaluation of these concepts, on the other;
  • you can think out of the box, distinguish main lines from details, and provide structure to your work;
  • you have excellent multidisciplinary team working and communication skills;
  • you have some expertise in other programming languages (e.g. C, Python, Java) and platforms (Unity, IOS).

 

What we have to offer

  • employment: 0.8 - 1.0 FTE;
  • a maximum gross monthly salary of € 4,757 based on a 38-hour working week (salary scale 11);
  • in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus;
  • duration of the contract: 2 years;
  • you will be classified as a Researcher, Level 3 in the Dutch university jobranking system (UFO);
  • we offer you a challenging job at a dynamic, high-ranking and ambitious university.

 

Are you interested in our excellent employment conditions?

 

Other Information

 

The method can be seen at work on the DondersBCI Channel on YouTube. The research is part of a Knowledge Utilisation project in which the MindAffect company will bring the technology to the market. Future opportunities may evolve that allow your being hired by the company.

 

Would you like to know more?

 

Further information on: Theme 4: Brain Networks and Neuronal Communication 
Further information on: Donders BCI PI group

 

For more information about this vacancy, please contact: 
Prof. Peter Desain, Head of AI department
Telephone: +3124 361 58 85
E-mail: p.desain@donders.ru.nl

 

Are you interested?

 

You should upload your application (attn. of Prof. Peter Desain, Head of AI department) exclusively using the button 'Apply' below. Your application should include (and be limited to) the following attachment(s):

    • Motivation letter in PDF
    • Detailed CV in PDF, including information on projects, publications, awards and grades

 

No commercial propositions please.



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