Assistant/Associate Professor in Data Science Engineering The challenge
Digitalization of society provides a treasure trove of data, based on an abundance of sensors and connectivity of services and people. Web and social media offer endless possibilities for people to connect, develop and use digital services. Our increasing data science abilities for data analysis and machine learning drive novel smart services. They provide solutions benefitting society in a large variety of domains, including health, engineering, safety and security, business, and science. At the same time, this digitalization comes with challenges. You can think of concepts like fairness, data quality, and trust, and threats such as fake news that must be addressed. This requires a fundamental inter-disciplinary approach bridging fields like computational statistics, machine learning, image and signal processing, information retrieval, and data processing and management. The mission of the Data management and Biometrics group (DMB) is to work on explainable data science by developing methods for autonomous, reliable and robust gathering, preparation, and analysis of the data, to enable relevant, trustworthy and explainable results. Your profile To expand and strengthen our areas of expertise we are looking for a colleague at the level of assistant or associate professor specifically with a ‘data engineering’ profile, i.e., someone with a research focus and expertise on one or more of the following topics: natural language processing, information extraction, data cleaning, big data processing, sensor data processing, machine learning (in application to data engineering and/or issues like fairness, explain ability, robustness). Scientific excellence is a must and should be demonstrated by high-quality output. A successful candidate will also demonstrate her or his intrinsic motivation and strong abilities for teaching at the bachelor and master level. We value a vision on academic teaching, blending the physical and digital experience. The candidate should have excellent communication skills, allowing efficient interaction with colleagues. • You have a PhD in Computer Science or a related discipline. • You have strong abilities for high-quality research and teaching in a multi-disciplinary context. • You are capable of strengthening the DMB group. • You are effective in acquiring external funding. • You have an excellent command of English. Knowledge of, or willingness to learn Dutch is an advantage. • You hold a University Teaching Qualification (UTQ) for Dutch Universities, a similar qualification, or are willing to obtain this. Our offer • We offer a structural fulltime position, starting with a temporary appointment with the prospect of a permanent position after a positive evaluation. • Our terms of employment are in accordance with the Dutch Collective Labor Agreement for Universities (CAO) and include a holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3 %. • Depending on your relevant background and experience, the gross monthly salary on a full-time basis ranges from € 3.746,- € to € 6.317,- per month. • A minimum of 29 leave days in case of full-time employment based on a formal workweek of 38 hours. A fulltime employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis. • Furthermore, we offer excellent professional and personal development programs. • Finally, you will work in a lively, inspiring and dynamic working environment in an organization focusing on internationalization and a high degree of responsibility and independence. Information and application Are you interested to join our team? Please submit your application before 31st of January 2021, via the "Apply Now" button at https://www.utwente.nl/en/organisation/careers/!/2020-158/assistantassociate-professor-in-data-science-engineering, including: • A curriculum vitae (including, list of publications, research statement and three names of potential references). • A cover letter in which you describe your motivation and qualifications for the position. You are welcome to contact dr.ir. M. van Keulen for any questions you might have. (email m.vankeu...@utwente.nl, phone +31534893688). For more information about the DMB group, click here. About the department The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) comprises three disciplines that shape Information and Communication Technology. ICT is more than communication. In almost every product we use mathematics, electronics and computer technology and ICT now contributes to all of societies' activities. The faculty works together intensively with industrial partners and researchers in the Netherlands and abroad and conducts extensive research for external commissioning parties and funders. The research which enjoys a high profile both at home and internationally, has been accommodated in the multidisciplinary research institutes: Mesa+ Institute, TechMed Centra and Digital Society Institute. About the organization The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute. As an employer, the EEMCS Faculty offers jobs that matter. We equip you as a staff member to shape new opportunities both for yourself and for our society. With our Faculty, you will be part of a leading tech university that is changing our world for the better. We offer an open, inclusive and entrepreneurial climate, in which we encourage you to make healthy choices, for example, with our flexible, customizable conditions. University of Twente (UT) University of Twente (UT) has entered the new decade with an ambitious, new vision, mission and strategy. As ‘the ultimate people-first university of technology' we are rapidly expanding on our High Tech Human Touch philosophy and the unique role it affords us in society. Everything we do is aimed at maximum impact on people, society and connections through the sustainable utilisation of science and technology. We want to contribute to the development of a fair, digital and sustainable society through our open, inclusive and entrepreneurial attitude. This attitude permeates everything we do and is present in every one of UT's departments and faculties. Building on our rich legacy in merging technical and social sciences, we focus on five distinguishing research domains: Improving healthcare by personalised technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a resilient world. Kind regards, Maurice van Keulen -- ---------------------------------------------------------------------- Dr.Ir. M. van Keulen - Associate Professor, Data Management Technology Univ. of Twente, Dept of EEMCS, POBox 217, 7500 AE Enschede, Netherlands Email: m.vankeu...@utwente.nl, Phone: +31 534893688, Fax: +31 534894571 Room: ZI 4061, WWW: https://people.utwente.nl/m.vankeulen
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