Call For An Industrial Partner - TOBI Project

The following project currently active in the Seventh Framework program of the European Community for research area and to innovation (2007-2013) requires the participation of a new partner to carry out certain tasks within the project. Please note that the Seventh Framework program offers part-funding not full-funding of research activities.

Project grant agreement number: FP7-224631
Project Acronym: TOBI
Project Full Name: Tools for Brain-Computer Interaction
Language in which the submission should be submitted: English
Date of close of call: 5pm Brussels time on June 2nd 2010

Call Details
TOBI (Tools for Brain-Computer Interaction) is a large European integrated project that aims to develop practical technology for brain-computer interaction (BCI) in order to improve the quality of life of disabled people and the effectiveness of rehabilitation.

TOBI is seeking an industrial partner to join the consortium.

Background
TOBI consortium is coordinated by the Ecole Polytechnique Fédérale de Lausanne and is a multidisciplinary consortium which brings together a unique critical mass of first-level European research, bioethics, applied AT, industry, clinics and user groups, all working to realise the vision of brain-computer interaction.

The consortium has identified four application areas where BCI assistive technology can make a real impact for people with motor disabilities: Communication & Control, Motor Substitution, Entertainment and Motor Recovery. Moreover, the project also focuses on research areas, such as human computer interaction, mental state analysis, hardware and software architecture, hybrid development. This last area aims to develop a multimodal human-computer interaction, where BCI is just one of the possible interaction channels.

Objectives of the call
TOBI project already started in November 2008 and at the current stage (after the first 1.5 years), as originally planned, we are looking for an industrial partner to join the consortium, in order to perform the following tasks:

  • Support the development of one or more Application and/or Research project areas, according to applicant experience.
  • Actively participate in the development of TOBI industrial strategy to bring TOBI results in the field of BCI technology to the market.

Budget
The new industrial partner will be allocated a budget for up to 480'000 Euros to cover its participation in TOBI over 2 years.

Application process
Applications should be made in writing using the TOBI guideline for participant and include information about the following:

  • An overview of the relevant experience and expertise of the applicant.
  • The principal motivation for the company to join TOBI.
  • The project area the applicant would like to contribute to.
  • How the applicant company aims to contribute to the development and implementation of the industrial strategy of TOBI project.
  • Cost and funding breakdown

Applications for this tender should be submitted by email to: This email address is being protected from spambots. You need JavaScript enabled to view it. with the subject "TOBI Call for Industrial Partner". All applications are treated confidentially.

Should you wish to discuss the project before making an application please contact Prof. José del R. Millán by phone at +41-21-6937391.

The successful candidate(s) will be notified by email within 1 month after the deadline.

Deadline
The deadline for applications is 5pm Brussels time on June 2nd, 2010.

For further information, please visit:
http://www.tobi-project.org

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...