The Informatics Institute of the University of Amsterdam is seeking an assistant professor in data engineering.

You will be joining the INtelligent Data Engineering Lab (INDElab). The lab's broad aim is to tackle problems relating to the preparation, management, integration and reuse of data using empirical insights into data science practice. INDElab is situated within Amsterdam's larger data science and artificial intelligence ecosystem (e.g. the UvA Data Science Center (DSC) and the Innovation Centre for AI (ICAI) labs) and values practice-informed and interdisciplinary research and outreach.

We strongly encourage applications coming from a unique perspective. Tell us how your background fits with the aims of the lab even if your profile is slightly different from the profile or requirements written below.

What are you going to do?

You will contribute to the lab through innovative research in topics related to data engineering and data management. You will engage in an interdisciplinary research cooperation as part of the UvA Data Science Centre.

As an educator, you will also contribute to the Informatics Institute education program. The program includes bachelor's and masters' programs in data science, computer science and artificial intelligence. Teaching is approximately 30% of the position's total time.

Additionally, you will be expected to acquire funding from sources such as the national funding agency NWO, EU funding via H2020 and industry.

Finally, contributions to outreach, both in terms of engaging with the media as well as applying the state of the art research tools to applications in society are valued. UvA spinoffs that bring technology to industry and society are highly encouraged.

Tasks and responsibilities:

• Conducting independent research in data management, resulting in academic publications in peer-reviewed international conference and journals;
• Actively pursuing external funding for research;
• Actively contributing to and developing national and international research networks;
• Engaging in interdisciplinary research through the UvA Data Science Centre;
• Developing, coordinating and teaching courses in the bachelor and master programmes;
• Supervising Bachelor and Master theses and tutoring students; co-supervising PhD theses;
• Actively contributing to the development and improvement of the broader teaching programmes in the department;
• Taking part in committees and working groups and carrying out departmental administrative tasks.

The successful candidate will have a background in data management or in artificial intelligence/ machine learning with an orientation towards data management. Areas of interest include (but are not limited to): data management for machine learning, data integration, data cleaning, table representation learning, dataflow systems, responsible data science, automated knowledge base construction, and semi-structured/semantic data management.

Your experience and profile:

• PhD in computer science or a related field;
• Excellent research skills, evidenced by a track record of publications in renowned international conferences and journals. Relevant venues are VLDB, SIGMOD, ICDE, CIDR, CIKM, ISWC, WWW, AKBC;
• The ability to form and implement a research agenda by acquiring external funding and attracting personnel;
• A proven record of high quality and diverse academic teaching at the BSc and MSc level;
• The ability participate in interdisciplinary cooperation;
• Possession of the University Teaching Qualification, or the willingness to obtain this within two years after the start of the employment;
• (The ability to develop) the management skills required for general academic administration, organisational and coordination tasks;
• Excellent communication and social skills;
• Professional command of English and the willingness to learn Dutch.

Experience with the (co-)supervision of BA/BSc, MA/MSc and/or PhD students for research work is preferred.

We offer a temporary employment contract for 38 hours per week for a period of 18 months. The preferred starting date is as soon as possible. A permanent contract follows if we assess your performance positive. The department has well-defined promotion structure with the possibility for rapid promotion. The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 3,974 to € 5,439 (scale 11). This does not include the 8% holiday allowance and the 8,3% year-end allowance the UvA offers. The UFO profile Lecturer 2 is applicable. A favourable tax agreement, the '30% ruling', may apply to non-Dutch applicants. The Collective Labour Agreement of Universities of the Netherlands is applicable.

Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits:

• 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January;
• Multiple courses to follow from our Teaching and Learning Centre;
• Multiple courses on topics such as leadership for academic staff;
• Multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses;
• 7 weeks birth leave (partner leave) with 100% salary;
• Partly paid parental leave;
• The possibility to set up a workplace at home;
• A pension at ABP for which UvA pays two third part of the contribution;
• The possibility to follow courses to learn Dutch;
• Help with housing for a studio or small apartment when you're moving from abroad

Are you curious to read more about our extensive package of secondary employment benefits, take a look here.

Faculty of Science

The University of Amsterdam is the Netherlands' largest university, offering the widest range of academic programmes. At the UvA, 30,000 students, 6,000 staff members and 3,000 PhD candidates study and work in a diverse range of fields, connected by a culture of curiosity. The Faculty of Science has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain. The mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.

The Intelligent Data Engineering Lab (INDElab) investigates intelligent systems that support people in their work with data and information from diverse sources. While most machine learning starts with an abundant set of fairly clean data, one of the lab's aims is to tackle machine learning problems in which the data is heterogeneous, noisy, missing or with few labels. The lab is strongly embedded in the larger UvA and Amsterdam artificial intelligence ecosystem with strong connections to multiple Innovation Centre for AI (ICAI) labs and theUvA Data Science Centre (DSC). INDELab values practice-informed and interdisciplinary research and outreach.

Want to know more about our organisation? Read more about working at the University of Amsterdam.