Assistant Professor of Data-Intensive Systems

Challenge: The increase in data sizes and decrease in data quality require novel methods and systems to cope with data management.

Change: Invent and employ novel data management techniques with and for machine learning, possibly involving humans in the loop.

Impact: Improved data quality, as well as accurate and scalable data analysis.

Today, data lies at the heart of virtually every commercial and scientific innovation. We are witnessing a tremendous increase in the volume of data across all fields, from life sciences (medicine, biology, smart cities for urban planning and transport) to financial services (banking, stock trading, insurance). As data size increases and data quality decreases, there is an unprecedented need for knowledge engineering, data integration and web-scale data management systems and methods. Novel approaches are therefore required to cope with the scale and complexity of data and analysis tasks such as volume, dimensionality, heterogeneity, noise and patterns. To address these challenges, we need to employ new classes of scalable data analytics techniques, including machine learning, and involve humans in the loop.

Integral to computer science activities at TU Delft, the Web Information Systems Group performs research in data management, crowd computing and human-centred AI. As a member of this group, you are likely to be at the start of your academic career and motivated to make an impact through research and teaching. You will be part of a highly energetic data management team of researchers as Assistant Professor of Data-Intensive Systems.

You are a strong researcher in a field related to one or more of the following:

• Data integration and knowledge management
• Scalable data processing
• Database systems

In addition, you have a passion for teaching and will contribute to education related to data-intensive systems for our BSc and MSc programmes.

You will receive a competitive starter package to bootstrap your own research agenda and plenty of support to develop your career. This role will be part of the data-intensive systems team in the Web Information Systems Group. Our team regularly presents its research at top data management venues, with a focus on quality and real-world impact. 

• A PhD degree in a relevant field.
• Experience as a postdoctoral researcher.
• A portfolio of publications and/or presentations at top data management venues such as SIGMOD, VLDB, WWW, ICDE and EDBT.
• Proficiency in written and spoken English and willing to learn Dutch.
• A passion for teaching, some experience preferred.
• Culturally inclusive with a collaborative attitude.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation. An International Children's Centre offers childcare and there is an international primary school.
Inspiring, excellent education is our central aim. We expect you to obtain a University Teaching Qualification (UTQ) within three years if you have less than five years of teaching experience. This is provided by the TU Delft UTQ programme.

TU Delft sets high standards for the English competency of the teaching staff. The TU Delft offers training to improve English competency. If you do not speak Dutch, we offer courses to learn the Dutch language.

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context. At TU Delft we embrace diversity and aim to be as inclusive as possible (see our Code of Conduct ). Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.

Challenge. Change. Impact! 

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three disciplines - electrical engineering, mathematics and computer science. Combined, they reinforce each other and are the driving force behind the technology we use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make future-proof. We are also working on a world in which humans and computers reinforce each other. We are mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. There is plenty of room here for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1,100 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Would you like to assess your suitability for this role or do you need more information? Feel free to contact Assistant Professor Dr Asterios Katsifodimos at [email protected] or Professor Geert-Jan Houben, head of the Web Information Systems Group at [email protected].

You can apply online. We will not process applications sent by email and/or post.

Are you interested in this vacancy? Please apply before September 30, 2021 via the application button and upload your motivation and CV, teaching and research statement.

• A pre-employment screening can be part of the selection procedure.
• You can apply online. We will not process applications sent by email and/or post.
• Acquisition in response to this vacancy is not appreciated.

Challenge: The increase in data sizes and decrease in data quality require novel methods and systems to cope with data management.

Change: Invent and employ novel data management techniques with and for machine learning, possibly involving humans in the loop.

Impact: Improved data quality, as well as accurate and scalable data analysis.

Today, data lies at the heart of virtually every commercial and scientific innovation. We are witnessing a tremendous increase in the volume of data across all fields, from life sciences (medicine, biology, smart cities for urban planning and transport) to financial services (banking, stock trading, insurance). As data size increases and data quality decreases, there is an unprecedented need for knowledge engineering, data integration and web-scale data management systems and methods. Novel approaches are therefore required to cope with the scale and complexity of data and analysis tasks such as volume, dimensionality, heterogeneity, noise and patterns. To address these challenges, we need to employ new classes of scalable data analytics techniques, including machine learning, and involve humans in the loop.

Integral to computer science activities at TU Delft, the Web Information Systems Group performs research in data management, crowd computing and human-centred AI. As a member of this group, you are likely to be at the start of your academic career and motivated to make an impact through research and teaching. You will be part of a highly energetic data management team of researchers as Assistant Professor of Data-Intensive Systems.

You are a strong researcher in a field related to one or more of the following:

• Data integration and knowledge management
• Scalable data processing
• Database systems

In addition, you have a passion for teaching and will contribute to education related to data-intensive systems for our BSc and MSc programmes.

You will receive a competitive starter package to bootstrap your own research agenda and plenty of support to develop your career. This role will be part of the data-intensive systems team in the Web Information Systems Group. Our team regularly presents its research at top data management venues, with a focus on quality and real-world impact. 

• A PhD degree in a relevant field.
• Experience as a postdoctoral researcher.
• A portfolio of publications and/or presentations at top data management venues such as SIGMOD, VLDB, WWW, ICDE and EDBT.
• Proficiency in written and spoken English and willing to learn Dutch.
• A passion for teaching, some experience preferred.
• Culturally inclusive with a collaborative attitude.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation. An International Children's Centre offers childcare and there is an international primary school.
Inspiring, excellent education is our central aim. We expect you to obtain a University Teaching Qualification (UTQ) within three years if you have less than five years of teaching experience. This is provided by the TU Delft UTQ programme.

TU Delft sets high standards for the English competency of the teaching staff. The TU Delft offers training to improve English competency. If you do not speak Dutch, we offer courses to learn the Dutch language.

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context. At TU Delft we embrace diversity and aim to be as inclusive as possible (see our Code of Conduct ). Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.

Challenge. Change. Impact! 

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three disciplines - electrical engineering, mathematics and computer science. Combined, they reinforce each other and are the driving force behind the technology we use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make future-proof. We are also working on a world in which humans and computers reinforce each other. We are mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. There is plenty of room here for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1,100 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Would you like to assess your suitability for this role or do you need more information? Feel free to contact Assistant Professor Dr Asterios Katsifodimos at [email protected] or Professor Geert-Jan Houben, head of the Web Information Systems Group at [email protected].

You can apply online. We will not process applications sent by email and/or post.

Are you interested in this vacancy? Please apply before September 30, 2021 via the application button and upload your motivation and CV, teaching and research statement.

• A pre-employment screening can be part of the selection procedure.
• You can apply online. We will not process applications sent by email and/or post.
• Acquisition in response to this vacancy is not appreciated.