Research Assistant / Associate (f/m/d) Software Engineer (Doctor:Required) in the area of Data and/or Process Science
The Chair of Process and Data Science, headed by Prof. Wil van der Aalst, is a new research facility at RWTHTH that focuses on the interaction of processes and data. PADS represents RWTH's ambitions in the field of Data Science and is supported by Alexander-von-Humboldt-Professorship. PADS encompasses all topics in which discrete processes are analysed, redesigned and / or supported in a data-driven way. Process-centricity is a combination of data science techniques such as machine learning, data mining, visualisation and Big Data Infrastructures. The focus is on process mining including process discovery, conformance testing, performance analysis, predictive analytics, operations support and process improvement. This is combined with related disciplines such as operations research, algorithms, discrete event simulation, business process management and workflow automation. The chair holder is the founder of the process mining discipline and one of the world's leading computer scientists. His ambition is to realise scientific breakthroughs that help organisations derive business and societal value from event data. Investments from RWTH, the Alexander von Humboldt Foundation and the Fraunhofer Institute for Applied Information Technology make it possible to realise this. Software development plays a key role in the success of our group. We are therefore looking for talented software engineers who specialise in Data Science.
You have a completed doctorate in computer science or a related discipline, for example statistics, operations research or management science, with a specialisation in data and/or process science.
You have experience in the implementation of complex software, preferably related to data processing, as well as in the use of modern database systems and preferably with big data platforms such as Apache Big Data Stack, Spark and Hadoop, Cloudera /Hortonworks).
You have a genuine interest in (or experience of) process mining, data science, process management, machine learning and are willing to demonstrate this as part of the application process.
You are determined and able to help supervise students working on software intensive projects.
You have excellent communication skills (also in English).
You would like to work in a team to develop software tools whose use is widespread and which have a major impact in the field of Data Science.
You design, develop and maintain software for cutting-edge research in the field of Data Science.
You contribute to open source Data Science platforms such as ProM, RapidMiner, R, etc.
You collaborate with industry partners who provide you with data and feedback on research results.
You will lead PhD, Bachelor and Master students developing software and participate in teaching in places.
The position is on a salaried basis.
The position is to be filled as soon as possible and is limited for 2 years.
This is a full-time position. Part-time employment is possible on request.
A doctorate is required.
The position is rated TV-L EG 13.
RWTH is certified as a family-friendly university.
The RWTH offers a variety of health, counselling and prevention services (e.g. university sports) as part of a university health management programme. There is also a comprehensive range of continuing education opportunities and a job ticket is offered.
The job advertisement is aimed at all genders.
At RWTH Aachen University, we particularly want to promote the careers of women and therefore welcome female applicants.
Women will be given preferential consideration in cases of equal suitability, ability and professional performance, provided that they are underrepresented in the organisational unit and provided that reasons relating to the person of a competitor do not prevail.
Applications from suitable severely disabled persons are expressly welcome.
In the interest of equal treatment, please refrain from submitting an application photo.
Information on the collection of personal data in accordance with Articles 13 and 14 of the General Data Protection Regulation (DS-GVO) can be found at http://www.rwth-aachen.de/dsgvo-information-bewerbung.
Please send your application by March 31, 2024 to
RWTH Aachen University
Informatik 9 - Process and Data Science
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