KU Leuven, Belgium invites online application for multiple fully funded PhD programs in Computer Science research areas. Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible.
1. Funded PhD Programs in Machine Learning for Information Extraction from Ancient Texts
Summary of PhD Positions:
Within the context of the ID-N project NIKAW, funded by the Special Research Fund (BOF) of KU Leuven, we are inviting applications for a PhD position on the subject of machine learning for information extraction from ancient texts. The set of thoughts, ideas, and beliefs that are shared, discussed, and enriched in a society is a complex and dynamic reality, constantly fed by and giving way to historical events. Nowadays, the easy access to social network and telecommunication data, online publications, and, for instance, book sales data, has increased our possibilities of analyzing this flow of information incredibly. In this project, however, we want to investigate how we can map the circulation of ideas and identify pivotal individuals in past societies, namely the Graeco-Roman world, whose fragmented history, encompassing many centuries, can only be studied through partial remainders. To this end, the NIKAW project aims to exploit textual information from the ancient world to reconstruct the transmission of knowledge across multilingual, geographically and chronologically extended communities.
Application Deadlines: September 8, 2022
2. Four PhD positions on Applied and Numerical Algebraic Geometry
Summary of PhD Positions:
We aim to develop theoretical and computational tools in mathematics (algebraic geometry, discrete mathematics, graph theory) to study various problems in theoretical computer science, statistics, industrial engineering, and quantum physics. The main objects of study are polynomial equations that mathematically model several real-world applications. The fundamental idea is to exploit the combinatorial and geometric structures of these polynomial systems and use them to efficiently solve them. Solving general polynomial systems tends to be extremely difficult, forcing us instead to restrict attention to special families of polynomial systems and to continually develop new theoretical and algorithmic tools.
Application Deadlines: October 1, 2022
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3. PhD position on Characterizing input composition by statistical learning
Summary of PhD Positions:
The aim of this PhD position is to develop methods and algorithms to model the distributional properties of sulfur and other impurities in the different scrap piles, based on available measurements which are present in the current steel production process. For this, you will be in close contact with modelling specialists from ArcelorMittal Belgium. You will apply a number of state-of-the-art methods and algorithms and determine which method is the most suitable to track the interesting properties of the scrap piles and include ways to manage their uncertainties. This will involve Markov Chain Monte Carlo and Gaussian process techniques, whose efficiency will depend on the quality and the features of the data. Validation of the methods can be performed by effective measurements on the scrap piles.
Application Deadlines: October 28, 2022
4. Two PhD positions in Explainable AI
Summary of PhD Positions:
We have two open PhD positions (fully funded) in Explainable AI. Although several explanation methods have been proposed, little work has been done to evaluate whether the proposed methods indeed enhance human interpretability. Many existing methods also require significant expertise and are static. Several researchers have voiced the need for interaction with explanations as a core requirement to support understanding. In this project, we will research the next generation of model-agnostic explanation methods that are tailored to the needs of non-expert users. We will also research how these explanation methods can be combined to develop more powerful explanation interfaces, and how such interfaces can be adapted on-the-fly to different personal and situational characteristics.
Application Deadlines: September 22, 2022
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5. PhD student in Neural Symbolic AI
Summary of PhD Positions:
The Declarative Languages and Artificial Intelligence (DTAI) Section of the Department of Computer Science of the KU Leuven is one of the leading research groups for artificial intelligence, machine learning and data science. It is internationally renowned for its pioneering work on the integration of learning and reasoning, in domains such as statistical relational and neural-symbolic AI, probabilistic and inductive programming, logical and relational learning and their applications. In addition to fundamental research, the DTAI group applies the developed techniques to concrete cases situated in data science, sensors, sports analytics, combinatorial optimisation, robot manipulation and navigation, natural language processing, smart electronics, computer vision, etc. For these applications, DTAI often cooperates with other groups and companies from strategically chosen research areas.
Application Deadlines: September 30, 2022
6. PhD position on Uncertainty quantification in consumption patterns and flexibility of thermal loads
Summary of PhD Positions:
Advanced control strategies, and model predictive control (MPC) in particular, are gaining widespread interest for building climate control, since they can systematically save energy and/or costs with simultaneous thermal comfort improvement, as well as adapt the energy demand according to the available renewable/residual supply. MPC however suffers from (1) parametric uncertainties, which are uncertainties that can be decreased (though not fully eliminated) by adaptation improvement of model parameter (e.g., through learning), and (2) additive uncertainties (such as forecast uncertainty) that cannot be substantially decreased but that can be dealt with in the decision-making process. These substantially limit the performance of MPC approaches.
Application Deadlines: December 16, 2022
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7. Postdoc or PhD Research Position on Artificial Intelligence for Enhanced Sorting and Plastic Recycling
Summary of PhD Positions:
In this project, KU Leuven will lead a “Data-driven plastic sorting, analysis and traceability” work package. The main objective of this work package is to enable a data-driven optimization of the sorting processes and higher traceability during the pre-processing of plastic recyclates. To achieve this, more detailed data is needed on the material composition and characteristics throughout the processing steps that are commonly adopted. Therefore, sampling procedures, artificial intelligence-driven sorting, and characterisation methods to define the composition of plastic recyclates during pre-processing will be developed. By validating the developments during experiments with state-of-the-art sorting equipment constructors (Redwave and Pellenc), KU Leuven aims to establish EU broadly accepted procedures to control the consistency and quality of recyclates for specific applications.
Application Deadlines: September 30, 2022
8. Funded PhD Programs in ESR 3 – From static to dynamic Inland Electronic Navigation Charts (IENC)
Summary of PhD Positions:
ENC have been existing in the inland shipping sector for some decades now. Initially the paper chart were concerted to a digital format and in a second stage AIS and radar information was added to these charts using an overlay. This sensor information overlay however does not adapt the ENC database and can therefore not be shared with other users. This research has to ambition to develop a new generation of adaptive ENC that is able to dynamically adapt the ENC database in real-time therefore unlocking the full potential of sharing information between inland waterways users.
Application Deadlines: November 1, 2022
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9. 3 PhD positions “Visual factors underlying aesthetic image preferences”
Summary of PhD Positions:
The three PhD students we are recruiting now will work on the following topics, with specific interests and skills: PhD1 with background in psychology for the theoretical and experimental work on factors of perceptual organization determining aesthetic appreciation; PhD2 with background in image processing or computer vision for the automatic computation of factors of perceptual organization in real images; PhD3 with background in machine learning or neural networks for the development, training and use of DNNs. For PhD positions 2 and 3, co-supervisors in computer vision and/or machine learning are possible in Leuven or Nijmegen.
Application Deadlines: September 25, 2022
10. Funded PhD Programs in Numerical methods and software for periodic infinite-dimensional systems
Summary of PhD Positions:
The project aims at a computational framework for analysis and design of linear periodic infinite-dimensional systems, focusing on time-delay systems of both retarded and neutral type. First, a basic theory will be constructed, addressing structural properties, fundamental limitations and trade-offs in control, as well as well-posedness and fragility of control system governed by linear periodic delay-differential equations of neutral type. Second, methodologies and computational tools will be developed for designing periodic output feedback controllers, based on shaping the spectrum of the Monodromy operator and on optimizing input-output maps. Particular attention will be paid to innovative schemes compensating part of the dynamics, to the use of delays for the purpose of control, and to the development of optimal strategies for achieving phase synchronization in networks. The developed methods will be validated in applications in the area of vibration control and machining.
Application Deadlines: September 8, 2022
11. Funded PhD Programs in Network and Wireless Security
Summary of PhD Positions:
In this position you will perform research related to network security under the supervision of Mathy Vanhoef. The research can cover various aspects of network security, where common goals include analyzing new protocols, investigating the security of implementations, studying privacy aspects, etc. We have strong expertise in Wi-Fi security, as well as SSL, HTTPS, and VPN protocols, but research on all network protocols is within scope. Your specific research topic can be discussed and is to be agreed upon.
Application Deadlines: September 30, 2022
12. Funded PhD Programs in Security and AI: Smart access control with AI
Summary of PhD Positions:
Broken access control ranks the top place in the 2021 OWASP Top 10 web application vulnerabilities, and incorrect implementations or updates of access control policies are often the cause of such vulnerabilities. By joining our research team, you will play an important part in addressing increasingly sophisticated access control attacks with AI-driven authorization and auditing of next generation cloud, fog and edge applications.
Application Deadlines: September 30, 2022
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13. Funded PhD Programs in Security by design through threat modeling
Summary of PhD Positions:
Threat modeling (also called architectural risk analysis) is an activity to reason about software security at the design level, as a complement to code-level security practices. To improve state-of-practice threat modeling activities to better support and expedite the software development process, our research team is working on an increased degree of automation for threat modeling, based on rich system models and knowledge bases, and we are looking for your help. If you join us, you will perform research on security threat modeling and advance the state of the art in that domain.
Application Deadlines: September 30, 2022
14. Funded PhD Programs in Securing the decentralized web with advanced authorization
Summary of PhD Positions:
Client-centric decentralized systems, such as the Solid decentralized web technology, empower the end-users to control their own data. However, with great power comes great responsibility and many challenges, for both app developers and end-users. Controlling which application can use which data depends on the usage context and trust of both the application and organization controlling the application.
