PhD-TA on Conformance Checking Algorithms with Ground Truth-Driven Insights

Are you fascinated by developing algorithms that uncover hidden insights in complex real-world process data?
Are you eager to improve the way businesses analyze their processes using process mining techniques?
Are you excited about sharing your knowledge with Bachelor students and gaining valuable teaching experience in Data Analytics?

Job Description

Conformance checking helps us understand how well the process behavior recorded in event logs matches the process behavior prescribed by a process model. The goal of this project is to improve conformance checking methods by using a more reliable way of evaluating and validating them. As a PhD student on this project, you will:

• Identify Current Problems in Conformance Checking: analyze existing methods and detect their failing points using novel assessment methods.
• Develop New Algorithms: use the insights gained from analyzing these problems and design and test new algorithms that are better at handling imperfect real-world data.
• Create and Use Realistic Test Data: develop methods for generating event logs that include typical behavioral and recording errors and deviations, allowing you to test and evaluate how well the improved algorithms work in practice.
• Contribute to Process Mining Tools: develop more reliable methods and tools for evaluating process models, which can be used by companies and researchers to better understand and improve their processes.

As part of your PhD, you will have the opportunity to teach Data Analytics to Bachelor students, helping them develop skills essential for their future careers. You will engage with motivated students, design hands-on learning experiences, and guide them in applying data analytics techniques to real-world challenges. Teaching will not only enhance your communication and mentoring skills but also deepen your understanding of key concepts, making you a stronger professional.

As a PhD candidate, you will be part of the Process Analytics Group IPA) at Eindhoven University of Technology (TU/e). The PA group is an internationally recognized research group at the forefront of process mining and conformance checking. You will collaborate with leading experts, contribute to ongoing research initiatives, and have access to state-of-the-art tools. 

Your research will enhance the reliability of process mining tools used by businesses, healthcare institutions, and government organizations to optimize processes and improve decision-making. By making conformance checking more effective, you will help organizations detect inefficiencies, reduce errors, and enhance compliance in real-world operations.

Requirements:

• A master's degree (or an equivalent university degree) in Computer Science, Data Science, Statistics or a related field.
• A research-oriented attitude, experience in data analysis and problem-solving.
• Proficiency in algorithms and programming, including Python.
• Ability to work in an interdisciplinary team and interested in collaborating with industrial partners.
• Motivated to develop your teaching skills and coach students.
• Fluent in spoken and written English (C1 or C2 level).

Salary Benefits:

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for five years, with an intermediate assessment after nine months. You will spend  20% of your five-year employment on teaching tasks, with a maximum of 25% per year of your employment.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,901 max. €3,707).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates. 

38 hours per week

De Rondom 70