Are you holding Master’s degree and looking for fully funded PhD positions? Tilburg University, Netherlands invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
1. Fully Funded PhD Position in AI software development
Summary of PhD Program:
Are you an enthusiastic and ambitious researcher with a completed master’s degree in a field related to machine learning (Computer science, AI, Data Science) or in Electrical Engineering with an affinity for AI and deep learning? Does the idea of working on real-world problems and with industry partners excite you? Are you passionate about using trustworthy AI methods for the next generation of auditing processes, which are increasingly AI-enabled and data-driven? And are you interested in delivering new tools to ascertain the robustness and reliability of the next generation of AI software? We are recruiting a Ph.D. candidate who will develop and validate novel concepts, methods, and tools for monitoring, auditing, and fostering the robustness and reliability of AI software systems and trial them with industrial partners who work with Deloitte.
Application Deadline: Open until filled
2. Fully Funded PhD Position in AI Software Systems
Summary of PhD Program:
This vacancy falls under the auspices of the JADE lab, which is the data/AI engineering and governance research UNIT of the JADS, and DELOITTE. In particular, this position is associated with JADE’s ROBUST program on Auditing for Responsible AI Software System (SAFE-GUARD), which is financed under the NWO LTP funding scheme with Deloitte as the key industry partner.
Application Deadline: Open until filled
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3. Fully Funded PhD Position in Audits for Explainability and transparency for AI Software
Summary of PhD Program:
Whilst the overall objective of SAFE-GUARD is auditing of AI software, it may be further refined in the following more elaborated goal: “Explore, develop and validate novel auditing theories, tools, and methodologies that will be able to monitor and audit whether AI applications adhere in terms of fairness (no bias), explainability, and transparency (easy to explain), robustness and reliability (delivering same results under various execution environments), respect of privacy (respecting GDPR), and safety and security (with no vulnerabilities).”
Application Deadline: Open until filled
4. Fully Funded PhD Position in Fairness of AI Software Systems
Summary of PhD Program:
The overall objective of SAFE-GUARD is auditing of AI software, it may be further refined in the following more elaborated goal: “Explore, develop and validate novel auditing theories, tools, and methodologies that will be able to monitor and audit whether AI applications adhere in terms of fairness (no bias), explainability, and transparency (easy to explain), robustness and reliability (delivering same results under various execution environments), respect of privacy (respecting GDPR), and safety and security (with no vulnerabilities).” The industrial setting of the deep involvement of Deloitte will balance the rigour with relevance and ascertain fit with societal requirements and trends, validation with industrial case studies.
Application Deadline: Open until filled
5. Fully Funded PhD Position in Software Testing for AI Software
Summary of PhD Program:
This vacancy falls under the auspices of the JADE lab, which is the data/AI engineering and governance research UNIT of the JADS, and DELOITTE. In particular, this position is associated with JADE’s ROBUST program on Auditing for Responsible AI Software System (SAFE-GUARD), which is financed under the NWO LTP funding scheme with Deloitte as the key industry partner.
Application Deadline: Open until filled
6. Fully Funded PhD Position in Digitalization
Summary of PhD Program:
This PhD position deals with digitalization and focuses on technological innovation implementation, digital twins, and standardization. Much research has been conducted about the technical sides of digitalization. However, in the practice, even the technical solutions are ready and mature, these pilot projects are still yet to receive a large-scale implementation due to legal and organizational considerations. Also, the interoperability of various systems remains a key challenge. This project is to identify the bottlenecks and solutions, and in sequence collaborate with the corresponding stakeholders to jointly establish a technical and governance framework for the selected use cases.
Application Deadline: Open until filled
7. Fully Funded PhD Position in Operations / Supply chain Management
Summary of PhD Program:
The PhD candidate will be embedded in the productive, collegial, and engaged Information and Supply Chain Management (ISCM) Research Group at Tilburg University. The group consists of faculty, lecturers, postdoctoral fellows, and PhD candidates. The PhD candidate is also enrolled in the world-class CentER PhD Program, where they will take about 40 European credits of courses as part of working towards the PhD degree. For the candidate, a second advisor will be added to the research team. The second advisor will be selected jointly by the PhD candidate and Professor Fransoo within six months after start of enrollment.
Application Deadline: Open until filled
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8. Fully Funded PhD Position in military artificial intelligence
Summary of PhD Program:
The PhD candidate will work on a project developing explainable algorithms for analyzing and modeling relevant data while at the same time reflecting on the potential implementation of the algorithms from an ethical, legal and societal perspective. The project will be led by dr. Roy Lindelauf (Netherlands Defense Academy), Dr. Tim Sweijs (The Hague Center for Strategic Studies & the War Studies Research Centre, Netherlands Defense Academy), and Dr. Marie Postma (Cognitive Science & Artificial Intelligence Department at Tilburg University). The project will combine ideas, methods and data from military science, artificial intelligence, data science, cognitive science, and philosophy. The intended focus of the project is cognitive warfare (pattern identification and network analysis in publicly available datasets) but there is a possibility to tailor the research to the expertise of the PhD candidate.
Application Deadline: Open until filled
9. Fully Funded PhD Position in human-agent interaction and cooperation
Summary of PhD Program:
The Cognitive Science & Artificial Intelligence department at Tilburg University invites applications for one fully-funded PhD position in the areas of robotics and deep learning, embedded within the AI for Robotics Lab. The AI for Robotics Lab (AIR-Lab) is a newly established research lab at Tilburg University, co-directed by Murat Kirtay and Giacomo Spigler. AIR-Lab research activities focus on recent advances in AI for robotics to endow robots with advanced cognitive capabilities and state-of-the-art performance.
Application Deadline: Open until filled
10. Fully Funded PhD Position in Knowledge hiding in Virtual Teams
Summary of PhD Program:
The Department of Human Resource Studies at Tilburg University is looking for a PhD student in the field of virtual teams and knowledge hiding. While knowledge hiding refers to intentional attempts to conceal requested knowledge, virtual teams are groups of people that collaborate through digital technology to achieve common goals, without being present face to face. The PhD student will be working under the supervision of Dr. Robin Bauwens (1st daily supervisor), Dr. Sasa Batistič (2nd daily supervisor), and Prof. Dr. Rob Poell (promotor).
Application Deadline: Open until filled
11. Fully Funded PhD Position in Explaining Tax Morale with Social Exchange Psychology
Summary of PhD Program:
The PhD project will investigate why people pay taxes. Tax compliance and tax morale – the intrinsic motivation to pay taxes – receive increasing attention from scholars and tax administrations. Research has identified various economic and socio-psychological determinants of tax compliance, such as audit probability, fine levels, social norms, or fairness considerations. Importantly, empirical studies of tax compliance do not reveal consistent effects, neither of economic factors nor of socio-psychological factors. To better understand these puzzling findings, an overarching approach is needed to determine when these factors influence tax behavior and when their influence is suppressed.
Application Deadline: August 15, 2023
12. Fully Funded PhD Position in Machine Translation for Sign and Spoken Languages
Summary of PhD Program:
We offer a fully funded, 4-year PhD position, to conduct research and innovation activities in the field of signed to spoken (in both directions) and sign to sign language translation. Within the scope of this PhD, topics such as data collection, annotation, analysis and processing tailored to the needs of MT; development and neural architectures for sign language translation and/or adapting architectures with successful application on text-to-text MT; adapting and adopting pre-trained language models, and human-centered design, evaluation and validation activities will be addressed.
Application Deadline: 31/08/2023
13. Fully Funded PhD Position in Graph Neural Networks
Summary of PhD Program:
The success of deep learning has garnered enthusiasm and concern within the general public and scientific community alike. A source of concern stems from the lack of interpretability in these models, rendering them “black boxes”. In response, the field of explainable AI (XAI) has emerged, aiming to overcome this challenge by developing models that provide explanations for the predictions made by these black boxes. While significant research efforts have been devoted to explaining the predictions of models operating with image, text, and video data, fewer advances have been observed with graph learning algorithms.
Application Deadline: Open until filled
14. Fully Funded PhD Position in Financial Forensics & Analytics
Summary of PhD Program:
To aid in the modelling of financial distress beyond traditional ratio analysis, scores such as Altman’s Z are often used as a reference, but they tend to require inaccessible data or complex predictive scoring exercises by the hand of expensive human analysts. In addition, and probably more problematically, currently applications of perceptron/deep neural networks are typically a-symmetric and tightly coupled with a particular at hand. In particular, they focus on the modelling and analytics exercise only, while neglecting the underlying data pipeline and its automated governance as well as the data productization and discovery opportunities, which remain to this day largely unexplored. That makes such solutions as rather brittle, failing to meet the expectations of business, and exceedingly case-specific in nature. This makes actionable research to resolve these challenges of critical importance.
Application Deadline: Open until filled
15. Fully Funded PhD Position in machine learning
Summary of PhD Program:
This position is hosted by the Computational Psychiatry group within focuses on cutting-edge research in responsible machine learning methods for applications in the mental health domain, collaborating with esteemed European and international partners. The PhD candidate will work under the supervision of Dr. Seyed Mostafa Kia, Dr. Marijn van Wingerden, and Dr. Marie Postma. The PhD candidate will collaborate closely with national, European, and international partners throughout the project, fostering the development of a strong scientific network at an early stage of their career. This collaborative environment will offer unique opportunities for professional growth and the exploration of diverse research perspectives.
Application Deadline: August 31, 2023
16. Fully Funded PhD Position in Video Games and Moral Improvement
Summary of PhD Program:
The PhD researcher will use methods from cognitive science and artificial intelligence to better understand how mechanisms of moral decision-making are engaged in video game decisions. The goal of this project is to leverage these insights to improve moral decision-making with a serious video game. Game design and hypotheses will in part be influenced by rigorous review of existing interdisciplinary literature on moral decision-making, moral education, moral improvement, etc., as well as consultations with stakeholders, including researchers in universities that are a part of this project’s research network and public/private stakeholders. The PhD candidate will be expected to use machine learning and player modelling techniques, which are currently not represented in the extant literature on moral game design or in experiments with them, to perform cutting-edge research, publish on these topics, and be an active part of the research community associated with Human-AI Interaction Research Unit.
Application Deadline: Open until filled
17. Fully Funded PhD Position in Psycholinguistic Research
Summary of PhD Program:
Traditionally, analyses of temporal response variables in psycholinguistic studies have focused on effects of predictors on the mean of the response variable distribution. The effects of predictors, however, need not be constant over time: some may arise early, while others may appear later. In addition, the qualitative nature of predictor effects may change over time. The aim of the research that you will be conducting is to (further) explore the potential of Piecewise Additive Mixed Models (PAMMs), a state-of-the-art statistical technique that offers insight into the temporal dynamics of predictor effects, even when the response variable consists of a single measurement.
Application Deadline: Open until filled
18. Fully Funded PhD Position in Everyday memory in younger and older adults
Summary of PhD Program:
We are looking for someone who has a strong interest in the areas of cognition, aging, (neuro-) physiology and real-life assessment. The interested candidate should have the social and organizational skills to set up a data collection in older adults and the willingness to learn new data assessment and analysis methods. Previous knowledge in at least one of the abovementioned areas is preferred but not obligatory.
