Job title:
Professor in Artificial Intelligence and Software Engineering
Company:
Job description
Offer DescriptionResearch
Typical AI research requires data to train, fine-tune and evaluate the proposed approaches. A data-driven feedback loop is important for machine learning and the development of AI solutions more generally. In practice, gathering, processing and using the data in an appropriate manner, as well as guaranteeing the robustness of the resulting machine learning model across its lifetime, often proves to be a significant technological, methodological and software engineering challenge. This not only prevents companies from easily adopting AI technology, but also hinders academic (application-oriented) AI research. The successful candidate will conduct research on how to make AI operational in an industrial context, with a focus on deriving value from the available data. Considering mechatronic systems, challenges include the heterogeneity of data sources (such as sensors, cameras, databases, etc.) and the complexity and dynamicity of the data themselves (e.g. data instances with nontrivial internal structure and interrelations). The integration of different methods and technologies into a suitable software architecture, dealing with such challenges, not only enables the use of different kinds of AI algorithms, but can already in itself provide substantial added value.This profile fits in the strategic basic research theme “AI-Driven Data Engineering” within the Flanders AI Research Program including topics such as contextual segmentation and dealing with imperfect data. Crucial for the integration in the Faculty of Engineering Technology is the practical implementation in projects with industrial partners and in collaborations with academic end users.The successful candidate will be a key facilitator of an intensified interfaculty interaction among experts in AI and users of AI technology at the KU Leuven campuses in Bruges, Ghent and Kortrijk (Kulak), reaching out to industrial partners in the region. Through collaborations with experts on other campuses of the faculties of Engineering Technology and Engineering Science he/she will help unlock various types of dedicated know-how (e.g. machine learning, signal processing and data mining, optimization, decision support and operational research, knowledge representation and reasoning, computer vision, machine listening) as well as expertise in the concrete technological setting (e.g. mechatronic systems). As an active member of the KU Leuven Institute for Artificial Intelligence, the successful candidate will help create synergies at the overall institutional level.Through all these activities you are able to acquire competitive funding, both project-based government funding as well as industrial funding.Your engagement in the above scientif… For more information seeRequirementsResearch Field Computer science Education Level PhD or equivalentLanguages ENGLISH Level ExcellentLanguages DUTCH Level ExcellentAdditional InformationBenefitsWe offer full-time employment in an intellectually challenging environment.KU Leuven is a research-intensive, internationally-oriented university that carries out both fundamental and applied scientific research. It has a strong interdisciplinary and multidisciplinary focus and strives for international excellence. In this regard, it collaborates actively with research partners in Belgium and abroad. It provides its students with an academic education that is based on high-quality scientific research.You will be affiliated with KU Leuven Bruges Campus, in a historic city with a seaport and modern industrial activities. Bruges has a 70 minutes rail connection to Brussels, capital of the European Union, and about three hours to Paris, London and Amsterdam.Depending on your record and qualifications, you will be appointed to or tenured in one of the grades of the senior academic staff: assistant professor, associate professor, professor or full professor. In principle, junior researchers are appointed as assistant professor on the tenure track for a period of 5 years. At the end of this period and a positive evaluation, they are permanently appointed (or tenured) as associate professor.To facilitate scientific integration and research in the first phase, a research position equivalent to a PhD fellowship for 4 years is made available. If you have no other substantial funding available, you can also apply for a start-up grant, on the condition that you are appointed for at least 50%.KU Leuven is well equipped to welcome foreign professors and their family and provides practical support with regard to immigration and administration, housing, childcare, learning Dutch, partner career coaching, etc.Eligibility criteriaYou have an MSc and PhD degree in Computer Science or Informatics where the subject of your doctoral thesis relates to the research topic, in particular the use of machine learning on complex, heterogenous, relational and structured data.You have a strong track record in this research domain, with a strong academic component (publications at top conferences and journals in AI and machine learning), but also a strong connection with industry. You have knowledge of a very broad range of machine learning and data processing tools and techniques, and extensive experience with applying the right tool to the right problem in industrial application contexts, in particular in mechatronics. You have the ambition to contribute to the valorization of research in industry and in society. You have demonstrable qualities related to academic education, in particular in computer science / informatics and in artificial intelligence. Teaching experience is an advantage.You possess organizational skills and have a cooperative attitude. You also possess leadership capacities in a university or industry context.A good command of English and Dutch is required (C1 level or higher), as part of your teaching duties is organized in both these languages.The official administrative language used at KU Leuven is Dutch. If you do not speak Dutch (or do not speak it well) at the start of your employment, KU Leuven will provide language training to enable you to take part in meetings and to acquire the level of Dutch that is required for tenure. Before teaching courses in Dutch or English, you will be given the opportunity to learn Dutch resp. English to the required standard.Selection processFor more information on the contents of the job, please contact:• Prof. dr. ir. Stefan Vandewalle, department chair of the Department of Computer Science ( , +32 16 32 76 54) or• Prof. dr. ir. Pieter Rauwoens, campus chair of Bruges campus ( , +32 50 66 48 33)
If you have problems submitting your application online, please send an email to .
Add to your application following documents in English (more information is available on the KU Leuven job site):- your biosketch in which you indicate your added value as an academic for research, education and service to society of based on your past career and of your planned future activities (maximum 2 pages);- a file on your five most important publications or realizations;- an extensive cv including a full publication list and if app… For more information seeWork Location(s)Number of offers available 1 Company/Institute KU Leuven Country Belgium State/Province West-Vlaanderen City Brugge Postal Code 8000 Street Brugge GeofieldWhere to apply WebsiteContact State/ProvinceBrugge CityWest-Vlaanderen StreetBrugge Postal Code8000STATUS: EXPIRED
Expected salary
Location
Bruges, Flandre-Occidentale
Job date
Sat, 06 Apr 2024 02:13:32 GMT
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