Research Associate & PhD Student for DFG-funded project “Process Mining from Multimodal Data for Anomaly Detection in Manual Work”

Aufgaben

• Carry out independent research on process mining, AI and data analytics, with the goal of completing a doctoral degree
• Develop, implement and evaluate new methods and tools, for example for event log extraction, process discovery, conformance checking or anomaly detection
• Apply machine learning methods (e.g. computer vision, NLP, foundation models) to process-related data
• Publish and present results at international conferences and in journals
• Work with the project partners at TU Wien and with industry partners
• Contribute a modest share of support to teaching and to the department’s academic activities

Profil

• Very good Master’s degree (or equivalent) in computer science, data science, information systems, industrial engineering or a related field
• Strong programming skills (e.g. Python) and solid knowledge of machine learning or data analytics
• Interest in business processes and in research that brings together AI and organizational practice
• Prior experience with process mining, computer vision or NLP is a plus but not required
• Excellent command of English; German is not required
• Curiosity, a structured way of working and enjoyment of working in an international team

Admission and Eligibility
Admission to the program is competitive and based on the applicant’s excellence as well as the match in research interest. We encourage you to apply immediately, since the reviews of applicants and the selection start upon receipt of applications. Evaluation of the applications is done on a rolling basis as they are submitted.

• To be considered for admission, applicants must meet these minimum requirements:
• Completed or about to complete a Master’s degree or equivalent (300 ECTS) from an accredited university with a good international reputation with the German grade 2.0 or better. Grade equivalents are required for international applicants.
• English language proficiency according to KLU requirements (if the official language of the previous degree wasn’t English)

Full details about the application procedure can be found here. You should submit:

• Cover letter (incl. name of the member of the resident faculty who is willing to act as your supervisor).
• Research statement.
• Video statement (max. 3 minutes).
• A full resume (CV).
• Two references (with full contact details).
• Evidence of your English proficiency according to KLU requirements (if the official language of the previous degree wasn’t English).
• Bachelor’s degree certificate and full transcript of records
• Master’s degree certificate and full transcript of records
• Diploma Supplements (if available)
• University grading system information (required for degrees obtained outside Germany)
• Official translations of all degree documents and transcripts of records not issued in English or German
• Quality indicators for your individual excellence (e.g., prizes, scholarships)
• Excellence in your program (e.g., class rank, thesis grade/rank), and your university(e.g., university rankings)

PhD
KLU supports the scientific employee in writing a dissertation on the research topic. As a state-recognized university, KLU has the right to award doctoral degrees. The dissertation is usually done cumulatively on the basis of three scientific papers.

Wir bieten

• Salary based on TV-L E13, depending on qualifications
• Supervision by an internationally recognized researcher in process mining, with close links to academic and industry partners
• Funding for conference travel and the chance to join an international research community
• A dynamic, international work environment in Hamburg

We value diversity
We value diversity and therefore welcome all applications regardless of gender, nationality, ethnic and social origin, religion and worldview, disability, age, sexual orientation, and identity.

Bewerbung

Please send your complete application documents by email to or via the Apply button.