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The PhD research will be conducted under Prof. Dr. Eric Postma, Prof. Dr. Mykola Pechenizkiy, Dr. Henry Brighton, and Dr. Vlado Menkovski. It will deliver both long-term (thorough understanding of the notions of transparency in data science and machine learning) and mid-term results (frameworks, white papers, and best practices).
The successful candidate is expected to
• Perform scientific research in the domain described;
• Present results at (international) conferences;
• Publish results in scientific journals;
• Perform his/her research both on the JADS campus in 's-Hertogenbosch as well as the KPN office in Amsterdam;
• Assist in teaching undergraduate/graduate courses;
• Be willing to work at two locations. Mariënburg campus in 's-Hertogenbosch will be the candidate's main office, but he or she may be temporary stationed at KPN Amsterdam.
JADS New research initiative on data science
The Jheronimus Academy of Data Science (JADS) is the unique collaboration of two renowned universities bringing together their top academics to further the emerging and multidisciplinary academic field of data science. JADS not only offers nine academic educational programs (Bachelor, Master, PD.ENG, PhD and Professional) but also hosts three research centers; the Data Science Center Eindhoven (DSC/e), the Data Science Center Tilburg (DSC/t), and the Data Science Center Den Bosch (DSC/db) at the new Mariënburg campus. At these centers we conduct groundbreaking research on data science and create concrete societal value.
The new Mariënburg campus on Data Science is located in a historic and beautiful former convent in the heart of the medieval city of ‘s-Hertogenbosch and is within walking distance from the central train station. It is the place where academics with engineering and business/social competences meet each other and participate in a wide-spread data science ecosystem. It is a buzzing and diverse place where learning based on data has center stage. The Mariënburg campus hosts lecture halls, academic labs, student apartments, data start-ups, corporate field labs, a coder dojo, and a data artist. By mixing students, academics, and companies, all on the topic of data science, we aim to cross-fertilize, innovate and transform data into value-adding insights and wisdom to advance companies, governments and society at large.