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Jobs Posted on the Whova Community Board of The 2nd International Conference on Process Mining (ICPM 2020)

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Several PhD and Postdoc positions in Process Mining @ PADS
Process and Data Science (PADS) group @ 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 in one of the leading research groups worldwide.

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). Process-centricity is combined with an array of Data Science techniques (machine learning, data mining, visualization, AI, etc.). The main focus is on Process Mining (including process discovery, conformance checking, performance analysis, predictive analytics, operational support, and process improvement). 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: https://www.pads.rwth-aachen.de/
PhD Positions on Machine Learning for Process Mining (ML4ProM)
Process and Data Science (PADS) group @ RWTH Aachen University
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 called Data-NInJa (around 15 PhDs in total).

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. 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 PhD focusing on process mining will be hosted by the Process and Data Science Group (PADS) group. The PADS group works on the whole spectrum ranging from theoretical research to applied research.

Appointments are 100% and based on the federal wage agreement (Tarifvertrag der Länder or TV-L, see http://oeffentlicher-dienst.info/tv-l/. Note that 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).

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. Note that there also several other PhD and Postdoc positions in the PADS group. If you have questions, please also use the e-mail address applications@pads.rwth-aachen.de or call +49 241 80 21902.
Link: https://www.pads.rwth-aachen.de/cms/PADS/Der-Lehrstuhl/Stellenangebote/~jxkbt/PhD-Positions-on-Machine-Learning-for-Pr/lidx/1/
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.
Assistant Professor Positions @ Utrecht University
Utrecht University
Due to our successful educational programmes and our ambitions in research, the Department of Information and Computing Sciences externe link is expanding. Therefore we are actively searching for four or more motivated and committed Assistant Professors in Information and Computing Sciences. Please note that the levels of the positions offered will vary, depending on experience and expertise.

You have a background in Computing and Information Sciences, preferably in the areas of Software engineering, Artificial Intelligence, Data Science or Persuasive Technologies & Serious Gaming. 

You possess a proven commitment and talent for research. As teaching is also an essential part of the work, we are searching for people with a demonstrable motivation to teach and a flexible attitude. The department provides a dynamic work environment. Our approach is characterized by a connected, open and can-do spirit that stimulates personal initiative and curiosity. You are a team player who is encouraged to take ownership and create value while sharing your knowledge both internally and across the wider (global) community. Every day we aim to live up to this mission, because we believe it is the only way to make the breakthroughs that will help solve the challenges facing the world.

If you are excited to actively participate and collaborate in shaping the department, you are invited to apply. Check:

https://www.uu.nl/organisatie/werken-bij-de-universiteit-utrecht/vacatures/assistant-professors-in-information-and-computing-sciences-tenure-track-08-10-fte

Do not apply through Whova please.
Link: https://www.uu.nl/organisatie/werken-bij-de-universiteit-utrecht/vacatures/assistant-professors-in-information-and-computing-sciences-tenure-track-08-10-fte
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/
Postdoctoral Researcher 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.
Link: https://sep.cs.ut.ee/Main/PostdocVacancy
Process Analytics Consultant
PricewaterhouseCoopers AG
We are searching for an entry level or experienced consultant in the area of data-driven Process Analytics, which naturally subsumes Process Mining. You will be joining a team consisting of 10+ experts working in global projects across various industries, and also helping to operationalize new methods for process analytics.

Must have requirements
- Process mining experience (academic or practical)
- Data processing (SQL and/or Python)
- Curiosity to explore the boundaries of practical process mining
- Endurance to go where no process miner has gone before :-)
- Inquisitive and assertive mindset

Nice to have requirements
- Experience in one of the major ERP (e.g. SAP Hana, Oracle, Salesforce, Guidewire)
- Machine learning exposition
- Six-sigma / process improvement skills
- Azure experience

Interested? Contact me asap :-)
PhD position in BPM
Federal University of Rio Grande do Sul
Full time position to develop the PhD in the area of BPM with schoolarship possibility.
Link: https://www.inf.ufrgs.br/~lucineia/index.php/2020/05/04/opportunities-for-phd-master-and-diploma-work/
Solution Specialist (pre-sales)
Minit
We are looking for experienced Solution Rockstar and data enthusiast with a desire to work on global Process Intelligence Solution Software. You can change the future of the mining process as a part of our dynamic team.

As an ideal candidate you possess a highly analytical mindset, being able to understand the link between technology and business value. You will become an expert in your industry, understand technical features, data and customer´s needs. You are an excellent communicator, capable of presenting and training the product, both to internal and external audiences.

Find out more on https://www.minit.io/jobs/position/solution-specialist-pre-sales.
Link: https://www.minit.io/jobs/position/solution-specialist-pre-sales
Senior Front-End Engineer
UiPath
You have the opportunity to play a key role in developing UiPath’s Process Mining product alongside an agile solution engineering team based in Eindhoven. UiPath Process Mining is a Process Mining solution that transforms data from your IT systems into visual interactive dashboards, allowing you to see bottlenecks and discrepancies, as well as understanding the root-causes and possible risks within your processes. It offers real-time, valuable insights to improve business processes over time and spot RPA opportunities.

This is what you’ll do at UiPath:
- Front-End development of UiPath’s core products (Process Mining)
- Work closely with small, nimble, cross-functional products and marketing teams to launch the platform
- Architect a codebase that is reusable and can evolve with our product

Life at UiPath like a lot of startups can sometimes feel like a roller coaster. It comes with changes and challenges, but also with the opportunity to shape how work is done, to have a great impact and learn a great deal.

Learn more: https://jobs.lever.co/uipath/cccaf4a2-f00d-4bc9-bd75-fc7d49897696
Link: https://jobs.lever.co/uipath/cccaf4a2-f00d-4bc9-bd75-fc7d49897696
App Engineer Full-Time
UiPath
You have the opportunity to play a key role in developing UiPath’s Process Mining product alongside an agile solution engineering team based in Eindhoven. UiPath Process Mining is a Process Mining solution that transforms data from your IT systems into visual interactive dashboards, allowing you to see bottlenecks and discrepancies, as well as understanding the root-causes and possible risks within your processes. It offers real-time, valuable insights to improve business processes over time and spot RPA opportunities.

This is what you’ll do at UiPath:
- Work day to day with data engineers to design, develop and validate various application feature requests
- Use customer input and sales information to design (re-design), develop, test and implement out of the box solutions for specific processes
- Work with the product management, professional services and sales organizations and focus on client feedback and solutions into future releases of our product
- Define implementation details, including data models (like database schemas), calculations/business rules, workflows, reporting/analytics dashboards.
- Identify & drive enhancements to the solution/platform

Learn more: https://jobs.lever.co/uipath/b216b832-eaac-4f37-9460-ed9b1135e8f5
Link: https://jobs.lever.co/uipath/b216b832-eaac-4f37-9460-ed9b1135e8f5
PhD Position in Process Mining
Institute of Computer Science, University of St. Gallen
The Software Systems Programming and Development Chair at the Institute of Computer Science covers both the development and evaluation of software artifacts. Our research focuses on adaptive software ranging from flexible process-oriented and event- driven systems to neuro-adaptive software systems and software development tools. We put special emphasis on topics in the fields of business process management (BPM) and process engineering, including process modeling, automation and mining. Moreover, we conduct research on human and cognitive aspects in software and process engineering.

The PhD position is part of the SNF project “ProMiSE: Process Mining Support for End-users”. Within the ProMiSE project, we aim to gain a comprehensive understanding of the behavior of analysts engaging in process mining and, more precisely, in exploratory data analysis tasks. We will collect empirical evidence from practice and develop methodological guidance and software-based operational support for assisting novice analysts during process mining. The outcome of the project will not only impact the accessibility of process mining to less experienced analysts but will also bring new opportunities for teaching process mining, training practitioners, and eliciting novel requirements for process mining software.

As part of the research team you will be involved in all the activities of the project, including data collection, analysis of data derived from the interactions of analysts with process mining software, development and implementation of the operational support for process mining users. Joining the project, you will work with an international team including distinguished researchers who contribute actively to the field of process mining and have complementary expertise in other areas relevant to this project, such as business process management, information systems, and software engineering.
Link: https://jobs.unisg.ch/offene-stellen/phd-position-in-process-mining-m-w-d/d61cb127-b74b-460b-8d2f-8a94918aee87
Process Mining for the Internet of Things
Institute of Computer Science, University of St. Gallen
The Software Systems Programming and Development Chair at the Institute of Computer Science covers both the development and evaluation of software artifacts. Our research focuses on adaptive software ranging from flexible process-oriented and event-driven systems to neuro-adaptive software systems and software development tools. We put special emphasis on topics in the fields of business process management (BPM), software and process engineering, including process modeling, automation and mining. The Internet of Things (IoT) thereby serves as one of the application domains. Moreover, we conduct research on human and cognitive aspects in software and process engineering.

The PhD position is part of an engineering-oriented project that conducts research at the intersection of process mining and IoT. The project aims at developing methods and techniques for discovering process from IoT sensor data (e.g., produced by a smart factory) and for process mining in IoT settings. With this project we aim at bridging the gap between process-oriented and event-driven systems as they can often be found in an IoT context.

As part of the research team you will be involved in all the activities of the project, including formal modelling/annotation of IoT processes, software-based integration of IoT devices, collection and analysis of data from IoT sensors, and algorithm and software development. Joining the project, you will work with an international team including distinguished researchers who contribute actively to the field of process mining and have complementary expertise in other areas relevant to this project, such as business process management, IoT, information systems, and software engineering.
Link: https://jobs.unisg.ch/offene-stellen/phd-position-in-process-mining-for-the-internet-of-things-m-w-d/e0b590d5-525f-49ad-add3-5295567f1664
Senior Full Stack Developer
Apromore
Apromore is a leading provider of open-source solutions for process mining and AI-driven business process improvement. Our vision is to democratize process mining by enabling organizations to achieve digital transparency and operational excellence. We’ve helped dozens of organizations leverage the full potential of their business transactional data to enhance their productivity, product & service quality, and compliance. To learn more, visit https://apromore.com

We are seeking a Full Stack Senior Java Developer who will work on building back-end and front-end systems that transform, store, and analyse large process execution datasets. We are a young and rapidly-growing startup passionate about process mining, where everyone is involved in design and optimization. We believe in open source and build leading-edge software resulting from our research experience. As such, we are always eager to integrate new technologies where these can improve throughput, quality, or scalability.

Further details: https://www.seek.com.au/job/50694112

Link: https://www.seek.com.au/job/50694112
Faculty positions in Digital Transformation
Universidad Adolfo Ibáñez
We seek for two different type of academic profiles:
- Research-focused position: With special emphasis in teaching and research.
Applicants must have earned a PhD degree in Computer Engineering, Computer Science, or a related discipline at the time of hiring. Applicants in late stage of doctoral studies are also welcome.
- Technology Transfer position: With special emphasis in teaching and technological transfer in collaboration with the industry and the government. Applicants must have earned a master’s degree in Computer Engineering, Computer Science, or a related discipline at the time of hiring, and a demonstrated excellence in applications of digital transformation.
Link: https://ingenieria.uai.cl/assets/uploads/2020/10/digitaltransformation-2020.pdf
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