PhD in Wearable deep learning for longitudinal monitoring of posture and performance

Gent - PhD
|
More than two weeks ago

You will investigate how deep learning is leveraged for the design of such algorithms.

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At Internet and Data lab (IDLab), we focus on distributed deep learning integrated into the Internet of Things. For this job opening, focus is on the wearable side of the spectrum where we analyze data from body-worn sensors. This data analysis is preferably done on-body as well, e.g. on the smartphone, a smartwatch or perhaps on a dedicated microcontroller. If that proves to be infeasible, connectivity to surrounding computing infrastructure is typically leveraged. The practical benefits of distributed deep learning are recognized by many companies in Flanders and beyond, which translates in many research projects and related novel research questions. As a result, we have now a vacancy for an additional researcher to tackle the actual needs of our industry partners embedded into the framework of a more generic research track.

What will you do

Where mathematical models of an environment are hard to design exactly, deep learning is often relied on to provide the magic. The current trend for adaptive, intelligent products typically relies on sensor data processing algorithms that need to be robust for alternating product configurations and difference amongst users. The candidate will mainly investigate how deep learning is leveraged for the design of such algorithms. Besides the mere deploy-time calibration of such algorithms for the whole lifespan of the product, algorithms that keep evolving during the use of the product are subject of the research track as well. A PhD position is vacant to design algorithms wearable, longitudinal monitoring of activities, posture and performance of people in rehabilitation or in training. Concrete topics are defined already for the applicant to fit a research framework into. From this framework, new research projects and opportunities are sought together with the applicant to shape the further direction of the research.

What we do for you

We offer a challenging, stimulating and pleasant research environment, where you can contribute to the worldwide research wearable deep learning. The work is done in close collaboration with key European ICT and telecom industry players. Throughout the complete PhD period, you receive a full-time, attractive salary and various additional benefits. You will work at Ghent University – IMEC, Internet and Data lab (IDLab), iGent-Toren, Technologiepark-Zwijnaarde 15, B-9052 Gent, Belgium

Who you are

We are looking for candidates with the following qualification and skills

  • You have a master’s degree in computer science, informatics, biomedical engineering, ICT or electronics. Final year students close to their graduation are also welcome to apply.
  • You have a strong interest in deep learning, and are eager to advance the state of the art. Experience with deep learning algorithmic approaches or frameworks (such as Theano, PyTorch, Tensorflow) is considered a plus.
  • You are willing to dig deeper for fundamental knowledge to achieve innovation goals defined in research projects in collaboration with industry.
  • You disseminate your results via journal publications, conference presentations, etc.
  • You are willing to assist the academic staff in their lecturing duties for a few hours per week.
  • You own the analytical skills to interpret the obtained research results
  • You are able to efficiently organize your tasks in an independent way
  • You are a team player and have strong communication skills
  • You respect the predetermined milestones in research projects
  • Your English is fluent, both speaking and writing

Interested ?

Send your motivation letter, a summary of your master thesis, your CV and three reference persons we can contact to bert.vankeirsbilck@ugent.be, indicating “Job Application: Wearable Deep Learning” in the subject.

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