[visionlist] PostDoc Position at the Univiersity of Stuttgart (Germany) - Machine Learning/Human-Computer Interaction/Biomechanical Simulation

[Andreas Bulling]

The Cluster of Excellence "Data-Integrated Simulation Science" (EXC 
SimTech) at the University of Stuttgart, Germany, invites applications 
for a fully-funded PostDoc position at the intersection of machine 
learning, human-computer interaction, and biomechanical simulation. 

The SimTech Cluster of Excellence is an interdisciplinary research 
center with more than 200 scientists performing cutting-edge research 
towards a common goal: To develop a new class of computational methods 
to take the usability, precision and reliability of modelling and 
simulations to the next level.

ABOUT THE PROJECT
-----------------
The project is about "Machine Learning for Wearable Robotics". Its goal
is to pioneer a novel non-invasive approach to suppress unwanted 
(dysfunctional) human arm movement while allowing intended movement for 
people suffering from neuro-degenerative diseases. To this end, one key 
task is to pioneer machine learning methods to predict movement 
ntentions and execution from multi-modal bio-signals stemming from real 
and synthetic data during everyday tasks. You will further combine these 
novel machine learning techniques with eye movement recordings, 
multi-modal arm motion recordings, and a biophysical 
neuro-musculoskeletal human model to predict the next, most-likely 
intended user action.


YOUR TASKS
----------
- Develop machine learning methods to predict human arm movement 
   intentions and execution from multi-modal bio-signals stemming from 
   real and synthetic data during everyday tasks
- Design and perform multi-modal eye and arm motion recordings (gaze 
   using eye-tracker, kinematics using motion capture, EMG using surface 
   electrodes)
- Combine these novel machine learning methods with a biophysical 
   neuro-musculoskeletal human model to predict the next, most-likely 
   intended user action
- Contribute to other ongoing PhD research projects within the host groups


QUALIFICATIONS
--------------
We seek strong applicants with a PhD in Computer Science, Mathematics, 
Physics or a closely related field, with a proven track record ideally
in Machine Learning, Computational Modelling, and/or Biophysical 
Simulation. Successful candidates should be curiosity-driven, ambitious, 
creative, and passionate about interdisciplinary research in the area of 
simulation and data sciences. Strong team working and critical thinking 
skills, aptitude for independent and creative work, as well as fluent 
English written and presentation skills are essential.


POSITION
--------
Admission will be competitive. If selected, you will be offered a
fully funded (100%) position for 2 years. You will contribute to the 
leadership of ongoing projects, will have the opportunity to advise 
undergraduate and graduate students, and contribute to the teaching 
activities of the group. 


HOW TO APPLY
------------
If you are highly motivated and capable of addressing and solving 
scientifically difficult problems and if you are interested in doing 
research in an internationally oriented team, you should send your 
application to jobs at simtech.uni-stuttgart.de. Please submit your 
complete application by e-mail with one pdf attachment comprising a 
cover letter, academic CV, research statement, a full publication list, 
names and contact addresses of two referees, as well as academic 
certificates and transcript of records. 

If you have any questions regarding this application, please informally 
contact Prof. Syn Schmitt (schmitt at simtech.uni-stuttgart.de) or Prof.
Andreas Bulling (andreas.bulling at vis.uni-stuttgart.de).
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