PhD Positions in Knowledge Graphs for Decision Making/Manufacturing Catholic University of Leuven Computer Science Department

The "DTAI @ Campus De Nayer" group performs research on industrial applications of Artificial Intelligence. It is part of the larger DTAI group (https://dtai.cs.kuleuven.be) and the EAVISE group (http://www.eavise.be, a multidisciplinary research group located entirely on Campus De Nayer). The Declarative Languages and Artificial Intelligence (DTAI) section within the Computer Science Department conducts research on fundamental and applied research in the fields of Declarative Languages, Machine Learning and Knowledge Representation. The Embedded and Artificially intelligent VISion Engineering (EAVISE) is a multidisciplinary group focuses on applications of advanced computer vision and artificial intelligence, bridging the valley of death between academics and industry. Functie The DTAI @ Campus De Nayer group announces the following 2 new PhD positions at the intersection of Semantic Web and Knowledge Graphs with Machine Learning and Reasoning: 1. Knowledge Graphs for Decision Making 2. Knowledge Graphs for Manufacturing The research for these projects is in collaboration with several industrial partners. Therefore, you will be working closely with these companies in this research. This way you can be sure that your research will address real problems and your results will be used effectively in practice. Decision Making Project Companies make dozens or hundreds of decisions every day. Despite the major impact of these decisions, employees often receive little or no decision support. In this research, we will investigate how knowledge graphs can support the decision making process, especially when data is not available in one place. During this PhD, you will answer research questions such as: - Which methodology can be used to represent information derived from data to support the decision making process? - Which methodology can be used to gather knowledge from multiple decentralized and heterogeneous data sources to support the decision making process? Manufacturing Project This project aims to capture and digitize operator expertise and knowhow. When successful the project will allow to fully automate the (re)tuning procedure or assist junior operators so that the supported tuning cycle is equivalent or superior to that of an expert operator. During this PhD, you will answer research questions such as: - How can we represent operators’ knowledge and historical data as knowledge graphs to combine the information of the two sides? - How can we use knowledge graphs and semantic web technologies to create a generic solution that can be reused across different companies and machines? Profiel - You have (or will soon obtain) a Master's degree in Computer Science, Informatics, Electronics-ICT, Engineering Technology, Engineering Science, Artificial Intelligence or similar. - Background in both theoretical and applied aspects of computer science - Knowledge of Semantic Web and Knowledge Graphs technologies is a plus. - Highly motivated to conduct research and passionate for discovering new things - Ability to work in a team but also independently - Good oral and written communication skills in English, knowledge of Dutch is a plus Aanbod - A full-time position for 4 years (subject to favorable evaluations). The proposed research can be done as part of a PhD trajectory, but this is not necessary. The decision whether or not to start a PhD trajectory can be taken in consultation with the supervisor. - A stimulating academic environment with scientific freedom at one of Europe's most innovative research universities - A competitive salary according to the applicable scales. - Flexible working hours and home office arrangements - A young but fast growing team in a diverse and multi-disciplinary research group - Collaborations with industry and international research labs and experts - Support for your professional travel and for professional/career development Interesse? The application deadline is 31 July 2022, but earlier applications are encouraged and will be considered as soon as they are received. The positions can be closed earlier in case suitable candidates are found. Even if you do not completely fit the above description, you can always apply! We value curious minds who look for innovative solutions. The successful candidates would ideally start in September or October 2022. For more information please contact Prof. dr. Anastasia Dimou,mail: anastasia.dimou@kuleuven.be. Solliciteren voor deze vacature kan tot en met 31/07/2022 via onze KU Leuven wil een omgeving creëren waarin alle talenten maximaal tot ontplooiing kunnen komen, ongeacht gender, leeftijd, culturele herkomst, nationaliteit of functiebeperking. Hebt u vragen in verband met toegankelijkheid of ondersteuningsmogelijkheden, dan kan u ons contacteren via diversiteit.HR@kuleuven.be. Employment percentage: Voltijds Location: Sint-Katelijne-Waver Apply before: July 31, 2022 Tags: Computerwetenschappen Download: file If you apply for this position please say you saw it on Computeroxy Apply

The "DTAI @ Campus De Nayer" group performs research on industrial applications of Artificial Intelligence. It is part of the larger DTAI group (https://dtai.cs.kuleuven.be) and the EAVISE group (http://www.eavise.be, a multidisciplinary research group located entirely on Campus De Nayer). The Declarative Languages and Artificial Intelligence (DTAI) section within the Computer Science Department conducts research on fundamental and applied research in the fields of Declarative Languages, Machine Learning and Knowledge Representation. The Embedded and Artificially intelligent VISion Engineering (EAVISE) is a multidisciplinary group focuses on applications of advanced computer vision and artificial intelligence, bridging the valley of death between academics and industry.

Functie

The DTAI @ Campus De Nayer group announces the following 2 new PhD positions at the intersection of Semantic Web and Knowledge Graphs with Machine Learning and Reasoning:

1. Knowledge Graphs for Decision Making

2. Knowledge Graphs for Manufacturing

The research for these projects is in collaboration with several industrial partners. Therefore, you will be working closely with these companies in this research. This way you can be sure that your research will address real problems and your results will be used effectively in practice.

Decision Making Project

Companies make dozens or hundreds of decisions every day. Despite the major impact of these decisions, employees often receive little or no decision support. In this research, we will investigate how knowledge graphs can support the decision making process, especially when data is not available in one place. During this PhD, you will answer research questions such as:

- Which methodology can be used to represent information derived from data to support the decision making process?

- Which methodology can be used to gather knowledge from multiple decentralized and heterogeneous data sources to support the decision making process?

Manufacturing Project

This project aims to capture and digitize operator expertise and knowhow. When successful the project will allow to fully automate the (re)tuning procedure or assist junior operators so that the supported tuning cycle is equivalent or superior to that of an expert operator.

During this PhD, you will answer research questions such as:

- How can we represent operators’ knowledge and historical data as knowledge graphs to combine the information of the two sides?

- How can we use knowledge graphs and semantic web technologies to create a generic solution that can be reused across different companies and machines?

Profiel

- You have (or will soon obtain) a Master's degree in Computer Science, Informatics, Electronics-ICT, Engineering Technology, Engineering Science, Artificial Intelligence or similar.
- Background in both theoretical and applied aspects of computer science
- Knowledge of Semantic Web and Knowledge Graphs technologies is a plus.
- Highly motivated to conduct research and passionate for discovering new things
- Ability to work in a team but also independently
- Good oral and written communication skills in English, knowledge of Dutch is a plus

Aanbod

- A full-time position for 4 years (subject to favorable evaluations). The proposed research can be done as part of a PhD trajectory, but this is not necessary. The decision whether or not to start a PhD trajectory can be taken in consultation with the supervisor.
- A stimulating academic environment with scientific freedom at one of Europe's most innovative research universities
- A competitive salary according to the applicable scales.
- Flexible working hours and home office arrangements
- A young but fast growing team in a diverse and multi-disciplinary research group
- Collaborations with industry and international research labs and experts
- Support for your professional travel and for professional/career development

Interesse?

The application deadline is 31 July 2022, but earlier applications are encouraged and will be considered as soon as they are received. The positions can be closed earlier in case suitable candidates are found. Even if you do not completely fit the above description, you can always apply! We value curious minds who look for innovative solutions.

The successful candidates would ideally start in September or October 2022.

For more information please contact Prof. dr. Anastasia Dimou,mail: anastasia.dimou@kuleuven.be.

Solliciteren voor deze vacature kan tot en met 31/07/2022 via onze

KU Leuven wil een omgeving creëren waarin alle talenten maximaal tot ontplooiing kunnen komen, ongeacht gender, leeftijd, culturele herkomst, nationaliteit of functiebeperking. Hebt u vragen in verband met toegankelijkheid of ondersteuningsmogelijkheden, dan kan u ons contacteren via diversiteit.HR@kuleuven.be.

Employment percentage: Voltijds
Location: Sint-Katelijne-Waver
Apply before: July 31, 2022
Tags: Computerwetenschappen
Download: file

If you apply for this position please say you saw it on Computeroxy

Apply