Supply Chains are cornerstones of a global economy but are currently facing fundamental challenges, as a result of technological advancements (digitalization, new transport technologies), growing service expectations (faster deliveries, high customization levels) and last but not least environmental demands. The emergence of the Internet of Things, big data, cloud logistics, robotics and automation, 3D printing and cyber physical system provide new opportunities to respond to ever increasing requirements in terms of on-demand delivery, excellent customer service, less environmental pollution (carbon emission, congestion, noise) and more general the change from a fossil-fuel based to a renewal energy based supply chain. A key word in these developments is digitalization, resulting in concepts such as Industry 4.0, Supply Chain 4.0 and the Physical Internet.
However, in order to balance or even to reconcile economic, social and environmental objectives (people, planet, and profit), new models and methods utilizing the increased availability of data are badly needed. The development of these methodologies and the resulting decision support systems require an integration of models and techniques from Operations Research, Game Theory and Multi-agent systems, Machine Learning, Predictive Analytics and Information System design, with the aim to improve both the design and planning of such supply networks. Such an interdisciplinary approach fits the “High Tech Human Touch” profile of the University of Twente and is the focus of the Industrial Engineering and Business Information Systems (IEBIS) department. We expect our new colleague therefore to:
- conduct research in the above area in pro-actively linking Operations Research techniques with Information Technologies;
- (co-)teach and coordinate courses in the bachelor and master programs of Industrial Engineering & Management, in areas such as Supply Chain Management, Operations Research, and Transportation Management;
- supervise bachelor and master students during their thesis research;
- contribute towards the supervision of PhD students;
- be a strong team player;
- formulate and carry out your own research within the focus area of IEBIS;
- assist in obtaining funding for research from external sources.
We are looking for an enthusiastic colleague with demonstrated research and teaching potential in areas such as Operations Research, Supply Chain Management, Transportation Management, Manufacturing/Service Operations Management, Sustainability, Supply Chain information technologies, Business and Data analytics, and Data-Driven Decision Making. The minimum requirements for this position include:
- PhD in Industrial Engineering, Operations Research, Applied Mathematics, Computer Science, Information Systems or a comparable domain. Doctoral students near completion of their degrees will also be considered.
- Ability to conduct high-quality academic research, shown through, e.g., an established record of publications in leading scientific journals.
- Ability and desire to teach bachelor and master courses and supervise students, with demonstrable experience and didactic qualities.
- Excellent mastering of the English language and good communication skills.
Applicants working at the interface of Operations Research and Information Systems, and with special interest in Stochastic or Mathematical Optimization, Machine Learning, and Data Analytics as well as the application of optimization methods to practical problems and applications, are encouraged to apply. You also have affinity with and preferably experience in working in a multidisciplinary environment. You are comfortable with applying sophisticated Operations Research techniques to practical problems, and have a strong entrepreneurial and innovative spirit. Ideal candidates fit the university’s High Tech Human Touch profile. We are looking for a person with excellent communication and language skills and the ability and eagerness to be involved in commissioned research. Possession of the UTQ (University Teaching Qualification) or its equivalent is preferred; otherwise the University will fully support you in obtaining your UTQ within a (maximum) period of 3 years. Since we wish to achieve a healthy gender balance, we particularly encourage women to apply.
We offer a very challenging position in an inspiring environment. You will be appointed as assistant professor, preferably in a full-time position and at least for 32 hours a week for an initial period of two years, with prospects of a permanent position upon good performance. The department and faculty support excellence and growth in research and teaching. We are committed to supporting your career development. The salary scale, depending on your actual experience, ranges from € 3.427 to € 5.330 gross per month, based upon the job profile of Assistant Professor, level 2 or 1. You are entitled to a holiday allowance of 8% of the gross annual salary plus an 8.3% end-of-year bonus. Next to this, the University of Twente offers several attractive conditions, like extensive professional development opportunities and a high degree of responsibility.
The University of Twente. We stand for life sciences and technology. High tech and human touch. Education and research that matter. New technology which leads change, innovation and progress in society. The University of Twente is the only campus university of the Netherlands; divided over five faculties we provide more than fifty educational programmes. We have a strong focus on personal development and talented researchers are given scope for carrying out ground breaking research.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Because of our diversity values we do particularly support women to apply.
Faculty of Behavioural, Management and Social sciences. The Faculty of Behavioural, Management and Social sciences (BMS) strives to play a pivotal role in understanding, co-engineering and evaluating innovation in society. Innovation is driven by advances in technology. Through 'social engineering' these technological advances are embedded in society befitting human needs and behaviour, within proper public and private management and business structures. For this the faculty of BMS upholds high quality disciplinary knowledge in psychology, business administration, public administration, communication science, philosophy, educational science and health sciences. All with a focus on the challenges in society. Research is strongly connected to our Institutes on Governance (IGS), ICT (CTIT), Health (MIRA) and Nanotechnology (MESA+).
You should submit your application via www.utwente.nl/vacatures/en (or directly go to https://www.utwente.nl/en/organization/careers/vacancy/!/assistant-professor-fm-in-supply-chain-managementoperations-research-3238-hrs/1681375) before November 24, 2017 h. 23:59 (CET). Applications should include: (1) a motivation letter, (2) curriculum vitae, (3) publications or other research output clearly showing your expertise in relevant areas, and (4) email and telephone contact information of at least two referees. Since only three documents can be uploaded per application, please combine documents if needed. Only complete applications submitted by the deadline will be taken into consideration.
Interviews will take place in December 2017. In case needed, a second round of interviews will be conducted. The University of Twente reserves the right to make no appointment at all. Neither in part, nor in whole does this information form part of any contract between the University and any individual.
For more information on this position, please contact dr. ir. M.R.K. Mes, email: firstname.lastname@example.org, phone: +31-53-4894062, prof. dr. W.H.M Zijm, email: email@example.com, or prof. dr. J. van Hillegersberg (chair of IEBIS), email: firstname.lastname@example.org.