Doctoral Researcher
il y a 4 semaines
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young UniversityRanking 2021, and #89 worldwide in Computer Science.
The Faculty of Science, Technology and Medicine (FSTM) contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens, in order to better understand, explain and advance society and environment we live in.
**Your Role...**:
With the increasing use of knowledge-intensive computing technologies in all domains of our digital intelligent society, such as healthcare, education, logistics, and transportation, also comes an increase in the need to capture relevant domain knowledge by means of domain models.
In the face of such an increase in demand, a matching increase in supply becomes necessary. This actually causes a ''modeling bottleneck'' in the sense that there is growing lack of modeling skills. One of the solutions to the general shortage of (domain) modeling skills is to empower people without modeling background to produce higher quality domain models with the assistance of artificial intelligence (AI), so that everyone can be a domain modeler
Your Mission will be:
- Conduct research in line with the topic of the PhD project
- Disseminate results through scientific publications and presentations at conferences
- Write a PhD thesis and obtain a PhD in Computer Science
- Limited teaching activity
**What we expect from you**:
- Master’s degree in Computer Science or a related discipline
- Some background in modeling and artificial intelligence (such as rule-based systems, knowledge engineering, dialog systems, NLP natural language processing, and machine learning) would be an asset.
- Strong analytical capacity, creativity, and ability for formal reasoning
- Good programming skills
- Good written and spoken English skills
**In Short...**:
- Contract Type: Fixed Term Contract 36 Month - extendable up to 48 months if required
- Work Hours: Full Time 40.0 Hours per Week
- Employee and student status
- Location: Belval
- Job Reference: UOL04376
**How to apply...**:
Applications (in English) should be submitted through the University’s HR system and include all of the following:
- Detailed curriculum vitae
- Digital copy of diploma certificates and transcript of records
- A motivation letter detailing why you intend to undertake a PhD
- Contact information of three referees.
The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.
**In return you will get**:
- **Multilingual and international character**. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR).
- **A modern and dynamic university. **High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure.
- **A partner for society**and** industry**. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs
- Find out more about the University
- Addresses, maps & routes to the various sites of the University
**Further information...**:
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