Machine Learning for Signal Processing

Many applications generate large data sets from which information needs to be extracted. The emerging field of structured data science extends signal processing to data science.

Requirements

The opening for an Assistant Professor is intended to further develop this area. A background in statistical signal processing/modelling and the ability to apply this to data science/machine learning is required. Generally we search for candidates with a strong signal processing background complementary to the expertise that is already present in the CAS group at TU Delft. Experience with biomedical signal and image processing applications is of interest. The candidate will also be involved in teaching and e.g. develop new courses on structured data science and machine learning for Electrical Engineering students.

While this position is defined as a tenure-track Assistant Professor position, excellently qualified but more senior researchers are also invited to apply. For this position, preference will be given to female applicants.

Candidates should have (1) a PhD degree in Electrical Engineering or a closely related discipline, with outstanding academic credentials, (2) several years of working experience as a Postdoctoral Researcher in an academic institution, and (3) the ambition to be a future scientific leader in the mentioned area.

Applications

To apply, please e-mail a detailed CV including a list of publications, a cover letter describing your motivation and suitability for the position, a research and a teaching statement. Send your application material via the TU Delft recruitment page. When applying for this position, please refer to vacancy number TUD00629.

Further information

For further information, contact prof. Alle-Jan van der Veen, chair of the Circuits and Systems group at TU Delft.