PhD and Postdoc Positions on the Interplay Between Business Process Management and Data Science
RWTH Aachen University
The Process and Data Science (PADS) group is continuously looking for bright PhDs and Postdocs that want to do cutting-edge research in process mining.
The scope of PADS includes all topics where discrete processes are analyzed, reengineered, and/or supported in a data-driven manner (www.pads.rwth-aachen.de). The main focus is on Process Mining (including process discovery, conformance checking, performance analysis, predictive analytics, operational support, and process improvement). This is combined with neighboring disciplines such as operations research, algorithms, discrete event simulation, business process management, and workflow automation. The ambition is to realize scientific breakthroughs, which will help organizations to turn event data into business and societal value.
The PADS group works on the whole spectrum ranging from theoretical research to applied research, also within the context of the Fraunhofer Institute for Applied Information Technology (FIT) and the Cluster of Excellence Internet of Production (IoP).
RWTH Aachen University is one of the leading technical universities in Germany (typically ranked in top-3). It is one of the so-called Universities of Excellence, and the Department of Computer Science at RWTH is one of the strongest in Europe with over 30 professors.
Appointments are 100% and based on the federal wage agreement (Tarifvertrag der Länder or TV-L, see http://oeffentlicher-dienst.info/tv-l/). The salaries are very high compared to most other countries, but applicants are expected to be self-propelling, autonomous, and function as employees (rather than students).
See www.pads.rwth-aachen.de for more information on the group. Please send your application (including a motivation letter and full CV) via e-mail to applications@pads.rwth-aachen.de, and you will be asked to fill out a form. If you have questions, please also use the e-mail address applications@pads.rwth-aachen.de or call +49 241 80 21901.
Link:
http://www.pads.rwth-aachen.de
PhD Positions on Machine Learning for Process Mining (ML4ProM)
RWTH Aachen University & Universität Bielefeld
The federal state government of North Rhine-Westphalia created a new initiative to strengthen the research in AI and ML. The project Machine Learning for Process Mining (ML4ProM) will have two PhD working on the interplay between process mining and machine learning, combining the expertise of RWTH Aachen University & Universität Bielefeld. These PhDs will be part of a larger ML/AI network.
The scope of the PADS group at RWTH includes all topics where discrete processes are analyzed, reengineered, and/or supported in a data-driven manner (www.pads.rwth-aachen.de). The main focus is on Process Mining (including process discovery, conformance checking, performance analysis, predictive analytics, operational support, and process improvement). This project aims to combine this with the ML expertise of Prof. Dr. Barbara Hammer in Bielefeld.
The PADS group works on the whole spectrum ranging from theoretical research to applied research.
RWTH Aachen University is one of the leading technical universities in Germany (typically ranked in top-3). It is one of the so-called Universities of Excellence, and the Department of Computer Science at RWTH is one of the strongest in Europe with over 30 professors.
Appointments are 100% and based on the federal wage agreement (Tarifvertrag der Länder or TV-L, see http://oeffentlicher-dienst.info/tv-l/). The salaries are very high compared to most other countries, but applicants are expected to be self-propelling, autonomous, and function as employees (rather than students).
See www.pads.rwth-aachen.de for more information on the group. Please send your application (including a motivation letter and full CV) via e-mail to applications@pads.rwth-aachen.de, and you will be asked to fill out a form. If you have questions, please also use the e-mail address applications@pads.rwth-aachen.de or call +49 241 80 21901.
Link:
http://www.pads.rwth-aachen.de
PhD position in Process Mining
Utrecht University
A five-year PhD grant on Process Mining is offered by the Department of Information and Computing Sciences at Utrecht University. The position consists of 70% research and 30% teaching, so you will also be involved in supporting the preparation and teaching of Bachelor's and Master's level courses, supervising student theses, managing research infrastructure, and participating in public outreach. The project is unique in the sense that you, as the candidate, have plenty of freedom in choosing your own topic of interest across the many opportunities in Process Mining, allowing you to develop a strong academic profile as a competent Researcher and competent Teacher. Process Mining offers to analyse processes and improve them in a data-driven manner. The topics include, but are not limited to, process discovery, conformance/compliance checking, process comparison, predictive process monitoring, robotic process automation, and event data preprocessing.
Link:
https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-position-in-process-mining-10-fte
PhD position in Predictive Monitoring for Business Process Optimization
University of Tartu
The BPM team at University of Tartu (Estonia) is offering an opportunity to an aspiring computer science researcher to conduct doctoral research within the ERC project The Process Improvement Explorer: Automated Discovery of Business Process Improvement Opportunities (PIX). The goal of this project is to develop algorithms to analyze business process execution data in order to discover process improvement opportunities.
Within this broad project, your PhD project's goal will be to design methods to automatically discover opportunities for improving the efficiency of a business process by predicting different sources of waste and recommending actions to minimize these wastes.
You will be part of a cross-disciplinary team, including experts in business process management, process mining, machine learning, and optimization. In the past six years, the group has earned six best paper awards at international conferences (BPM'2013, BPM'2016, ER'2016, ICSSP'2017, RuleML+RR'2017, IPM'2020) as well as one best student paper award, one best dissertation award, and three best demo awards. Further information about the group can be found at https://sep.cs.ut.ee/
During your PhD, you will receive mentorship from at least the project leader and one postdoc researcher. You will also have the opportunity to participate in international summer schools and to undertake research visits at leading research teams (e.g. at Utrecht University, Technion, University of Melbourne, or WU Vienna).
To apply, you must have a Masters degree in Computer Science, Information Systems, Business Informatics, or a related discipline. Some knowledge of algorithmics and machine learning is highly desirable.
Applications will be received until 30 September 2020. Please ask for instructions to submit your PhD application by contacting prof Marlon Dumas at: marlon dot dumas [ät] ut dot ee
Link:
https://sep.cs.ut.ee/Main/PIXPhDVacancies2020
Tenure Track Faculty Position in Software Engineering
Pontificia Universidad Católica de Chile
Applicants must hold a Ph.D. in Computer Science with emphasis on Software Engineering, at the time of hiring. Any postdoctoral or academic experience should be stated in the application. The applicant must have a high potential for scholarly productivity, proven teaching capacity, and the ability and willingness to work collaboratively in teams; in particular, there are many joint research opportunities with other researchers in the Department of Computer Science.
Software Engineering is a broad discipline and candidates from all of its diverse areas will be considered, including the areas that are at the center of the enormous changes that software development has had in recent years, such as the architecture of Software Systems, Smart Systems, Cloud Computing, Mobile Devices and the Internet of Things (IoT).
Research experience in topics that are already being addressed by faculty members is desirable; these include reliable and secure architectures for Cloud Computing, Self-managed Distributed Systems, architectures optimized for Big Data processing, and architectures for both services and microservices. Experience in any of the following subjects is also desirable: automation and improvement of software tests, automatic code generation and intelligent programming wizards, software development cost and time estimation, elicitation of requirements through knowledge discovery, and capturing design patterns in various environments and settings.
Candidates from areas other than those mentioned above will be considered, provided that their research focus is on Software Engineering.
Candidates do not need to be fluent in Spanish at the time of application but should be prepared to learn the language well enough to teach in Spanish in the short term (two years). Fluency in English is a requirement.
Link:
https://www.ing.uc.cl/en/trabaja-con-nosotros/areas-to-apply-2/
Software documentation and training preparation
ISIS Papyrus Europe AG
Papyrus Software is looking for ambitious academics to join our international Papyrus Academy team, responsible for preparation of technical education material, lectures and reference manuals. Working with blue chip companies worldwide, this position is suited to persons who have a high affinity for the didactic presentation of complex contexts in SW systems and want to be part of a company that is leading the way with its innovative technology within the Enterprise Content Management, Business Process Management and Adaptive Case Management arena. You would be working based in Europe (AT - Vienna). Language skills: English C1 and preferred also German.
For more details please and other career opportunities on our website.
Link:
https://www.isis-papyrus.com/e15/pages/company/careers.html
BPM/ACM Consultant
ISIS Papyrus Europe AG
Papyrus Software is looking for ambitious academics interested in international IT consultancy. Working with blue chip companies worldwide, this position is suited to an already successful consultant who wants to be part of a company that is leading the way with its innovative technology within the Enterprise Content Management, Business Process Management and Adaptive Case Management arena. As a Consultant within our professional services team based in Europe (AT - Vienna and UK - Kingsclere), USA (Texas) and Asia (Singapore), your main focus will be to demonstrate, configure, implement, and support an industry leading software solution. With a proven ability to excel in a customer-facing role, you'll have a natural ability to pick up new and innovative technologies, and be able to liaise with clients through all phases of a project from proof of concept to go live. Full training on the company's product range will be provided to the successful candidates.
For more details please and other career opportunities on our website.
Link:
https://www.isis-papyrus.com/e15/pages/company/careers.html
C++ Developer for Papyrus Platform
ISIS Papyrus Europe AG
Papyrus Software is looking for ambitious academics looking for C++ developer positions to join the Austrian HQ south of Vienna. Do you want to be part of a company that is leading the way with its innovative technology within the Enterprise Content Management , Business Process Management and Adaptive Case Management arena?
Our R&D and QA Team is looking for people to enhance and maintain the Papyrus Products. The tasks include analysis, design, programming (mainly in C++) as well as testing and documentation of parts of the Papyrus system. Due to our wide range of offerings and our support of all common platforms (Windows, Unix, Linux, Mobile, Mainframe) new colleagues may work on predominantly back-end, but also front-end products.
For more details please have a look at out career opportunities on our website.
Link:
https://www.isis-papyrus.com/e15/pages/company/careers.html
Business Application Developer for Papyrus Platform
ISIS Papyrus Europe AG
Papyrus Software is looking for ambitious academics joining as dedicated Business Application Developers our Solution Team at the Austrian HQ south of Vienna.
After an initial training phase you will gradually take over responsibility for the conception, development and quality control of individual Papyrus applications, do process analysis and improve existing ones. For more details please have a look at out career opportunities on our website:
https://www.isis-papyrus.com/e15/pages/company/careers.html
You will find there also other positions we offer worldwide.
Link:
https://www.isis-papyrus.com/e15/pages/company/careers.html
PhD position in Process Mining
Utrecht University
A five-year PhD grant on Process Mining is offered by the Department of Information and Computing Sciences at Utrecht University. The position consists of 70% research and 30% teaching, so you will also be involved in supporting the preparation and teaching of Bachelor's and Master's level courses, supervising student theses, managing research infrastructure, and participating in public outreach. The project is unique in the sense that you, as the candidate, have plenty of freedom in choosing your own topic of interest across the many opportunities in Process Mining, allowing you to develop a strong academic profile as a competent Researcher and competent Teacher. Process Mining offers to analyse processes and improve them in a data-driven manner. The topics include, but are not limited to, process discovery, conformance/compliance checking, process comparison, predictive process monitoring, robotic process automation, and event data preprocessing. You will be part of the Business Process Management and Analytics (BPMA) group, led by Prof Hajo A. Reijers and will work under the daily supervision of Dr ir Xixi Lu.
Link:
https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-position-in-process-mining-10-fte
PhD position in Process Mining (Granularity / Event Abstraction / Data Integration)
TU Eindhoven
A fully-funded PhD position will soon be available at the Process Analytics group of TU Eindhoven. The main focus will be on processing and integrating data on different levels of granularity from heterogeneous sources in the context of Process Mining for user journeys. For further information, please contact me (Felix Mannhardt) if you are seriously interested.
Postdoctoral Research Fellowship in Process Mining for Automated Process Improvement
University of Tartu
We are looking for a recent or soon-to-be PhD graduate to join the BPM Research Group @ University of Tartu as a Postdoctoral Research Fellow. This position is part of the European Research Council project "The Process Improvement Explorer" (PIX). The goal of this project is to develop algorithms to analyze business process execution data in order to automatically discover improvement opportunities and to estimate their potential impact.
If retained for this position, you will develop methods to automatically identify changes to the decision logic of a business process that are likely to enhance its performance along one or more performance measures. Among other directions, you will investigate the use of rule mining and cost-sensitive learning, in conjunction with process mining techniques, to fine-tune branching conditions in a business process. Your research will lead to novel methods, which will be validated on real datasets and case studies, and incorporated into an open-source tool for automated process improvement.
You will become part of a highly dynamic team focused on business process management and process mining. In recent years, the group has earned five best paper awards at international venues, two test-of-time awards, one best student paper award, and two best demo awards. The team has also contributed to the successful commercial spin-off of the Apromore open-source process mining platform.
The position will be fixed-term for a period of up to three years. The remuneration package is competitive by European standards.
Inquiries and expressions of interest should be sent by email to Marlon Dumas (.@ut.ee). If you wish to be considered, please send your CV (including list of publications) to this email address. Expressions of interests will be considered on a first-come, first-serve basis until the position is filled. The starting date for the position is negotiable, preferably during the first half of 2021.
Full professor for „Programming Languages“
TU Berlin
We're looking for an excellent colleague to join us as full professor for the field of „Programming Languages“ @TUBerlin.
Tenured position. Willingness to learn German required, but speaking the language is NOT a prerequisite.
Email address given here is for enquiries, for applying see the details in the job ad please.
Link:
https://tub.stellenticket.de/en/offers/81934/
Research Associate in Formal Modelling and Explainable AI for Health and Care
University of Edinburgh
The ACRC programme led by the University of Edinburgh has been established to research and develop innovative solutions for the care of people in later life, contributing to tackling the global challenge of promoting and maintaining ’healthy ageing’. Central to the ACRC approach is a commitment to working in partnership with people in later life, their families and communities, and to creating a sustainable UK wide collaboration to ensure excellence and impact.
In order to allow for meaningful inference and decision making in the context of advanced care delivery for the older person, explainable computer-based models are needed that can capture the vast body of knowledge both around general and specific care pathways and incorporate data from real-time sources such as sensors. In the case of the person in later life, there is a need for contextualisation when it comes to both the care recipient and their environment.
One objective of this project is to build computer-based models that enable both the management and analysis of care, while supporting decision making via Explainable AI methods. Workflow management systems will be used to automate parts of care delivery, so that we can maintain consistent, accountable and continuous levels over time. AI-based workflow analytics and other techniques will be used to understand and predict outcomes based on sensor, video and recorded care data (coming from other streams of the New Technologies of Care Programme and the broader ACRC). Bridging the gap between the high complexity of the care landscape, the individual needs and circumstances of the older person, and the development of computer-based workflows that interface between data and processes in order to drive decision-making will be one of the important goals of this multidisciplinary project.
Link:
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=053145
Process Mining positions at the Free University of Bozen-Bolzano
Free University of Bozen-Bolzano
We are opening positions at the level of postdoc and assistant professor (RTDa) at the Free University of Bozen-Bolzano.
The topic of interest is process mining, and in particular the application of artificial intelligence and machine learning techniques in the context of process mining. If you are interested (or you know someone who could be interested) in this kind of positions please send an email to maggi@inf.unibz.it
The Free University of Bozen-Bolzano was founded in 1997 as a multilingual (English, German, Italian) internationally oriented institution. The university is located in one of the most fascinating European regions, the Dolomites. This young university has already established itself as an important research institution, both in Italy and abroad. According to the Times Higher Education World University Rankings 2019, the university is among the top 20 world's best small universities and it is the fourth best young Italian University. According to the same ranking, the Faculty of Computer Science of the Free University of Bozen-Bolzano is the fourth best Italian computer science department, it is the best for international outlook Italian computer science department, and it is the best for citations Italian computer science department.
