Junior AI-Researcher for the Centre for R&D Monitoring (ECOOM)
Last modification : Tuesday, August 30, 2022
The Centre for R&D Monitoring (ECOOM) is an interuniversity consortium of
which one division is housed within the Faculty of Economics and Business at
the KU Leuven. ECOOM develops a consistent system of R&D and Innovation
(RD&I) indicators. These indicators are designed to assist the Flemish
government in mapping and monitoring the RD&I efforts in Flanders. Within this
context, ECOOM is the pre-eminent Flemish site for science, technology and
innovation studies, and has become a prominent research centre with
international visibility. More information on ECOOM's activities can be found
on our website.
To support our research activities, we are currently looking for a junior AI-
researcher to join the bibliometrics research group. We are looking for a
full-time junior researcher (m/f) starting his/her contract in 2022 for an
envisaged time period of at least two years. Within this period the candidate
will have the opportunity to apply for additional PhD-funding.
You will participate in a new research project aimed at the introduction of
network-based methods and applications in science, technology and innovation
studies. This interdisciplinary project is positioned at the crossroads
between several domains including information science, computer science,
artificial intelligence, quantitative science and technology studies and
social network analysis with strong implications for science policy. The
underlying assumption is that capturing structural information on networks and
neighborhoods in science and technology systems will enable us to development
of new applications and to redefine existing indicators.
You are expected to collaborate in this project and develop, design and train
new neural network models for graph embeddings. Based on the results and
models from this first phase, you'll be encouraged to apply for funding to
obtain a PhD-degree in Business Economics at the KU Leuven.
You will also have the chance to present your work regularly at international
workshops and conferences, to publish research results in indexed journals and
to attend summer schools and similar events.
Although not restricted to these, you preferably have a background in
Information Science, Computer Science, Artificial Intelligence,
Mathematics, Business Economics or Business Engineering.
You show particular interest in science-technology-relations and you have
affinity with quantitative approaches towards science and technology
studies, including relevant developments in the field of big data/machine
You should be able to show excellent (‘honors'-level) results in prior
studies and be fluent in both spoken and written English.
Knowledge of Dutch would be an advantage. Most importantly, you should
share our unbridled enthusiasm for scientific research and have affinity
with policy implications.
A full-time position at KU Leuven for a fixed term of two years with
flexible starting date.
An internationally oriented research environment.
The salary will be determined in accordance with the legal salary grade
systems existing at KU Leuven.
The possibility to start a PhD at the faculty of Business and Economics in
the field of Quantitative Science Studies.
For more information please contact Mrs. Veronique Adriaenssens, tel.: +32 16
32 57 23, mail: firstname.lastname@example.org or Prof. dr. Bart Thijs,
tel.: +32 16 32 57 26, mail: email@example.com.
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regardless of gender, age, cultural background, nationality or impairments. If
you have any questions relating to accessibility or support, please contact us