numerical problems, imaging and inversion, medical ultrasound
Assistant/Associate Professor of Machine Learning
Data science, intelligent systems
- Landelijk / geen vaste standplaats
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 38 uur
- € 5861 per maand
The growing availability of (big) data is changing every aspect of society. The ability to analyse and interpret the large volume and heterogeneity of data will determine the real impact. Machine learning has become the driving force behind breakthroughs in many applications, such as learning machines to see and robots to walk. Delft University of Technology wishes to further expand its activities in data science by attracting new talent in machine learning. The position is embedded into Delft’s Data Science programme (DDS) and within the Intelligent Systems Department (Computer Science) that is devoted to enabling man and machine to deal with the increasing volume and complexity of data, in close cooperation with their environment. You will contribute to and co-lead the research into computational aspects of a variety of machine learning techniques (for example, Deep Learning, Reinforcement Learning, Decision Processes). Application domains within DDS include health, social media, and cyber security. You will act as principal investigator leading day-to-day research activities of your team, acquiring funding, fostering creativity and scientific excellence, and initiating collaborations with internationally leading labs. You will be active in the relevant international communities, and set internationally recognised research directions. You will strengthen the curriculum in machine learning within the Bachelor and Master programmes of Computer Science, by (co)teaching courses such as Pattern Recognition, Machine Learning, Datamining, Computational Intelligence and Deep Learning.
A Tenure Track, a process leading up to a permanent appointment with the prospect of becoming an Associate or full Professor, offers young, talented academics a clear and attractive career path. During the Tenure Track, you will have the opportunity to develop into an internationally acknowledged and recognised academic. We offer a structured career and personal development programme designed to offer individual academics as much support as possible. For more information about the Tenure Track and the personal development programme, please visit www.tudelft.nl/tenuretrack.
You are an active researcher and have a PhD in the general area of machine learning. You have a keen interest in applications and a proven affinity for an engineering approach. You are motivated, enthusiastic, and decisive. You work effectively in a multidisciplinary team and have proven leadership skills. You motivate peers and students to share your enthusiasm for your science. Your English should be at least level C1-II. You are an inspiring teacher with a track record in undergraduate/graduate teaching programmes (teaching certificates are considered an advantage). You have an open mind towards modern teaching methodologies and the opinions of others.
ConditionsA tenure-track position is offered for six years. Based on performance indicators agreed upon at the start of the appointment, a decision will be made by the fifth year whether to offer you a permanent faculty position.
The TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
The TU Delft sets specific standards for the English competency of the teaching staff. The TU Delft offers training to improve English competency.
Inspiring, excellent education is our central aim. If you have less than five years of experience and do not yet have your teaching certificate, we allow you up to three years to obtain this.
For more information about this position, please contact Prof. Catholijn Jonker, phone: +31 (0)15-2781315, e-mail: email@example.com. To apply, please e-mail a
detailed CV that includes a list of publications, contact information of at least three scientists whom we can contact for letters of recommendation, and a research and teaching statement along with a letter of application by 21 August 2017 to A.J. Prummel, Hrfirstname.lastname@example.org.
When applying for this position, please refer to vacancy number EWI2017-22.
Additional informationCatholijn Jonker
Technische Universiteit Delft
Delft University of Technology (the TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. The TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At the TU Delft you will work in an environment where technical sciences and society converge. The TU Delft comprises eight faculties, unique laboratories, research institutes and schools. Electrical Engineering, Mathematics & Computer Science The Department of Intelligent Systems (INSY) conducts research on processing, interpretation and securing of data. Our aim is to enable man and machine to deal with the increasing volume and complexity of data and communication. We have a strong focus on security, multimedia, and health sciences. The Department pursues its mission by combining fundamental research, engineering and design approaches to model- and knowledge-based methods and algorithms. We actively seek research and technology-transfer collaboration with international scientific peers, companies, and societal organisations.
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