The project will be carried out at the new KTH MoveAbility Lab, in collaboration with scientists in other disciplines at KTH as well as at Karolinska Institutet. Our research focus is on technology to decode, predict and enhance human movement, with application in patients with motor disorders. The aim of the project is to create numerical models that predict patients’ motor behavior and performance with respect to each person’s strength, range of motion, pain, sensory ability, etc, as well as how performance interacts with biosignals (e.g. muscle activity). Human movements can be predicted by computerized biomechanical models that identify a person’s motor control strategies and movement patterns, in relation to a person’s motor and sensory abilities. They can also be predicted through AI-based numerical tools, for example machine learning algorithms that are trained with empirical data, descriptive data and biosignals. Application areas can be both in predictive modelling frameworks as well as in input to controllers of active assistive devices.
Your areas of responsibility will be create and develop both biomechanical model-based dynamic simulations and AI/machine learning models (i.e. without a biomechanical model) that decode the relationship between a patient’s motor and sensory ability, biosignals from portable/wearable sensors, and motor performance. The project will require both experiments on patients as well as rigorous numerical analyses. Further areas of responsibility are to report findings in highly ranked peer-reviewed journals and at scientific conferences, as well as to clinical research collaborators.
We seek a candidate with a doctoral degree (PhD), completed in the last three years, in biomechanics with a strong computational focus, mathematics/optimization, computer science/AI, engineering physics, or other technical background of relevance for this research area, preferably with focus on dynamic simulations, optimization or machine learning. Besides the traditional academic merits, it is, other advantageous merits for this position include documented experience in human movement research and experimentation on human subjects.
Applicants must be strongly motivated for this research area. This position requires ability to work both independently and in a multidisciplinary team. Applicants should thus have a good level of cooperative and communicative abilities, as well as a good ability to communicate and write scientific reports in English.