PhD Positions in Neuroengineering, Robotics and Navigation, University of Lübeck, Germany

The Graduate School for Computing in Medicine and Life Sciences (http://www.gradschool.uni-luebeck.de/) at the University of Lübeck invites applications for 3-year PhD scholarships in the fields of Brain Imaging, Robotics, Brain Plasticity, Navigation Methods, Neuroanatomy, Human-Computer Interfacing, Minimal Invasive Interventions.

Application deadline: June 30, 2009.

Project titles:

• I1a - Diffusion Tensor methods
• I1b - Correction of Susceptibility caused Distortions in Functional Magnetic Resonance Imaging
• I1c - Endoscopic Optical Coherence Tomography in the Deep Brain
• I1d - Small animal brain imaging with nano CT
• I1e - Transcranial sonography (TCS) in monogenic forms of Parkinsonism
• I1f - Combined motion detection and motion correction medical imaging
• I1g - Neurochemical whole-brain mapping using magnetic resonance spectroscopy (MRS)
• I2a - Stroke Rehabilitation Robot
• I2b - Parallel mode of action control: from human studies to intelligent robotic interfaces
• I2c - Learning to See Better
• I2d - Cardiac pacemaker localisation
• I3a - Memory enhancement by transcranial brain stimulation
• I3b - Brain Modelling
• I3c - Relationship between brain activity and peripheral glucose metabolism - combining experimentally acquired data with a mathematical model
• I4a - Robotic micromanipulator for small animal studies
• I4b - Navigation and electrophysiological recordings in Deep Brain Surgery
• I4c - Robot assisted navigation guided OCT operating microscope
• I5a - Definition of cortical networks for the control of eye and hand movements
• I5b - Wavelet-Based TMS-EEG Data Analysis
• I5c - 3-dimensional kinematic principles of eye, head and limb movements
• I6a - Interfaces based on EEG, ECoG and DBS
• I6b - Nonlinear and multivariate EEG analysis
• I6c - Basics in deep brain stimulation (DBS)
• I6d - Next generation auditory prosthesis
• I7 - Computer assisted minimally invasive interventions

Requirements:
Candidates are expected to have a master’s degree (or its equivalent) in computer science, mathematics or engineering. Prior experiences in scientific publishing (during the university study or industry employment) are of advantage.

Please prepare all the necessary documents and submit your application online: http://www.gradschool.uni-luebeck.de/?q=node/20.

For further information, send email to: management[ at ]gradschool.uni-luebeck.de or visit our website at http://www.gradschool.uni-luebeck.de/