Currently, large amounts of data are collected from diverse sources with complex and non-standard structures. This creates great opportunities for yet better decision making by using the heterogeneous data in various domains such as Industry 4.0 (e.g. smart manufacturing,), healthcare and agri-food. Data fusion is a promising approach for creating added value from this data. We are looking for a Postdoctoral researcher working in this context.

The post-doc is expected to work on the development of methods and techniques integrating those heterogeneous data as well as analyzing data with complex and non-standard structures. The test domain will be smart industry, where data originating from multiple systems and other sources including IoT can be transformed into information using data fusion and data science methods. The explicit scope of the post-doc position will be defined based on the preferences and experience of the selected candidate.

This project is part of a larger research initiative on information and data fusion and intelligent interaction between human and machine for joint decision making. The post-doc researcher will join the newly built team working in this domain. Moreover, this line of research is linked to research at DKE especially in the areas of machine learning and signal processing.

The successful candidate will:

1.                   Support the R&D activities of the department in data fusion and machine learning.

2.                   (Co-) author scientific, peer-reviewed papers, submitted to top conferences and journals in the field of data fusion and machine learning.

3.                   Provide support and/or manage funding acquisition activities and proposal writing (national and international, e.g. Horizon Europe).

4.                   Support the department in teaching activities.

1.       A PhD degree (already completed or to be completed shortly) in artificial intelligence, machine learning or a closely related field.

2.       Solid interest in advances in data fusion and machine learning and AI and willingness to publish in top venues in the field, in collaboration with the rest of the team.

3.       Excellent programming skills.

4.       Excellent English language skills.

5.       Very good presentation, communication and organization skills.

6.       Interest in grant proposal preparation and coordination.

7.       Team spirit.

Fixed-term contract: The full-time position is offered for a period of 2,5 years, with yearly evaluations.

The intended starting date of this position is September 1, 2021.

The salary will be set in scale 10 (between € 2.790 and € 4.402 gross per month) depending on education and relevant work experience. On top of this, there is an 8% holiday and an 8.3% year-end allowance. The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. Non-Dutch applicants could be eligible for a favorable tax treatment (30% rule).

Maastricht University (UM) has around 20,000 students and 4,700 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. UM is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. UM placed #6 in Times Higher Education’s (THE) Young Universities Ranking 2020, and #127 in THE’s World University Rankings 2020.

http://www.maastrichtuniversity.nl/

The Department of Data Science and Knowledge Engineering. Founded in 1992, we are a fast-growing department undertaking internationally respected research in the areas of computer science, human-machine interaction, artificial intelligence and applied mathematics. Much of our research takes place at the interfaces of these disciplines. We maintain a large network of industry partners and provide education through one bachelor’s programme and two master’s programmes.

Situated in the heart of Europe and within 30 kilometers from the German and Belgian borders, Maastricht and its 120,000 inhabitants have a strong international character. It is a safe, vibrant city with a history spanning more than 2,000 years. The city’s rich past is reflected everywhere in the streets: the ratio of monuments-to-inhabitants is roughly 1:73. If you are unfamiliar with the Netherlands, UM’s Knowledge Centre for International Staff will gladly assist you with practical matters such as housing.

Our new colleague(s) will be joining a tight-knit department consisting of ~50 principal investigators, postdocs and PhD students, >750 BSc and MSc students and a team of 16 dedicated support staff members. Together, we come from over 40 different countries.

https://www.maastrichtuniversity.nl/dke

STEM research in Maastricht. DKE is embedded in the equally thriving Faculty of Science and Engineering. It’s exciting times for STEM research in the region of Zuid-Limburg, where Maastricht University (UM) is situated. For example, UM recently joined the Einstein Telescope Partnership coalition, which will bring STEM challenges to our doorstep through construction of the ET Pathfinder prototype. Furthermore, Zuid-Limburg is a hub for the high-tech industry. Maastricht University participates in the four regional Brightlands campuses: local tech ecosystems where fundamental and applied research, state-of-the-art facilities, industry partners and students meet. In addition, the university itself offers no shortage of inspiring collaborators through our international network and the five other faculties of UM.

https://www.maastrichtuniversity.nl/fse