Connectionists: [jobs] PhD position in Deep Learning for Prosthetics Control (CITEC, Germany)

[Robert Haschke]

Research Assistant - salary grade E13 TV-L

While the dexterity of prosthetic hands continuously increased during the last decades (e.g. iLimb or Michelangelo hand),
their control capabilities are still limited. We aim to significantly reduce this gap by applying new sensor technologies
as well as machine learning techniques to enable continuous pose and motion control for hand amputees.

Your tasks:
- Development/application of suitable machine learning algorithms to map the sensor data to hand motions.
   Considered sensors will be: classic EMG, tactile, electrical impedance tomography, and ultrasound.
   A particular challenge will be the non-stationary data distribution due to hysteresis, temperature fluctuations,
   slipping of the sensors and other external disturbances.
- Preparation, implementation and evaluation of experiments for data acquisition together with project partners.

Key data: starting at the earliest possible / limited for 2 years / closing date for applications: 9/02/2020

Requirements:
- master degree in Computer Science or a related subject with outstanding results
- excellent knowledge and experience in the field of deep machine learning,
   especially unsupervised learning and RNNs
- excellent programming skills in Python as well as TensorFlow / Keras
- very good English skills
- good command of German is required (or the willingness to learn this)

For more information please contact rhaschke at techfak.uni-bielefeld.de or call +49 521 106 12122.

Please send your application with the usual documents by email as a single pdf file to rhaschke at techfak.uni-bielefeld.de.

Bielefeld University is particularly committed to the career development of its employees. It offers attractive
internal and external training programmes. Employees have the opportunity to use a variety of health, counselling,
and prevention programmes. Bielefeld University places great importance on a work–family balance for all its employees.

To ensure equal opportunities, applications by women with the required qualifications are explicitly desired.
Applications from suitably qualified handicapped persons are explicitly encouraged.

Please send copies only. Original documents will not be returned.

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