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.
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.
- 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.
Bedrijfsprofiel Universiteit Twente
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