Every year, around 8,400 employees transport more than 100 million tonnes of goods on behalf of Rail Cargo Austria. 620 traction units and 21,500 goods wagons are required purely for rail cargo operations. In the case of highly complex logistics tasks such as this, the deployment of man and machine requires careful planning. Mathematicians working on a project funded by FFG are now developing algorithms designed to significantly enhance the planning process.

“The transport of goods by rail is coming under increasing pressure: Available resources are dwindling, costs have to be calculated with ever narrower margins, and customers expect the promised service to be delivered promptly”, Philipp Hungerländer (Department of Mathematics) explains. What is more, route diversions have a negative impact on the carbon footprint. Planning processes are complicated and are frequently characterised by vast differences between the theory and the practical implementation. Philipp Hungerländer sees a great need for research in this area, and he believes it promises considerable potential for improvement: “In this regard, Austrian rail cargo traffic is in a similar position to many other international logistics and transport companies.”

The project “Intelligent agent-based simulation and optimisation of roster and route planning for traction units in Austrian rail cargo traffic” will draw from a sizeable volume of available data on rail cargo traffic to develop the so-called “Train Delay Prediction System”, and to calculate route capacities. Building on this, the team – which is comprised of researchers and software developers from dwh GmbH, the University of Klagenfurt, TU Wien, Hex GmbH and Rail Cargo Austria AG – will develop optimisation algorithms specially tailored to address the issue of roster and route planning for traction units. Simulations will be used to thoroughly test the new planning tool. Referring to the overall aim of the project, Philipp Hungerländer adds: “We aim to develop optimisation algorithms that allow automated, rapid, efficient, and robust roster and route planning for Austrian rail cargo traffic.” Research results are expected by the summer of 2020.

Der Beitrag Using mathematics to improve rail cargo planning erschien zuerst auf Alpen-Adria-Universität Klagenfurt.

Source: AAU TEWI

The Department of Applied Informatics (Research Group Adaptive and Networked Production Systems) invites applications for the position of an

PreDoc Scientist (f/m) (in German: Universitätsassistent/in)

The tasks and responsibilities of the position include:

• Participation in research and teaching activities of the Research Group Adaptive and Networked Production Systems
• Independent research with the goal of Doctoral Promotion within the period of appointment
• Dedicated collaboration in administrative and organizational tasks of the department
• Project collaboration with academic and industrial partners of the research group
• Participation in public relations activities of the department and faculty

Required Qualifications:

• Completed Master’s or Diploma studies with substantial focus on Informatics (e.g., in Informatics, Business Information Systems, Information Management or Data Science) at a domestic or foreign higher education institution
• Fluency in spoken and written English

Additional Desired Qualifications:

•  Basic knowledge and practical experience in one or more of the following areas:

Declarative Problem Solving

Knowledge Representation and Reasoning

Combinatorial Search and Optimization

Constraints and Preferences

Computational Complexity

Planning and SchedulingData Mining and Machine Learning

Algorithms and Implementation

• Good academic performance
• First scientific publication(s) (in addition to the Master’s or Diploma thesis)
• International and practical experience specific to the position
• Social and communicative competences
• Teaching experience and didactic competence

Applications with the customary documents are to be submitted until 12 December 2018
indicating reference code 709/18 to Alpen-Adria-Universität Klagenfurt, Dekanatekanzlei /
Recruiting, exclusively via the online application form at www.aau.at/obf.

Download : Univ.-AssistentIn_AINF

Der Beitrag Job Announcement: PreDoc Scientist (f/m) erschien zuerst auf Alpen-Adria-Universität Klagenfurt.

Source: AAU TEWI

Alpen-Adria-Universität Klagenfurt announces the following open position:

PreDoc Scientist (f/m) (in German: Universitätsassistent/in)

at the Faculty of Technical Sciences, Institute of Applied Informatics, Research Group Adaptive and Networked Production Systems (temporary contract for 4 years, scheme Uni-KV B1 www.aau.at/uni-kv, 100 {c8db3f4443fb2f1c80e20e2e8420a201d47393e6b007c83f4847286f4b955a35} employment). The minimum monthly gross salary amounts to € 2,794.60 (14 x per year) und can increase according to collective agreements regarding allowance for professional experience specific to the position. The expected starting date of the position is as soon as possible.

The tasks and responsibilities of the position include:

• Participation in research and teaching activities of the Research Group Adaptive and Networked Production Systems
• Independent research with the goal of Doctoral Promotion within the period of appointment
• Dedicated collaboration in administrative and organizational tasks of the department
• Project collaboration with academic and industrial partners of the research group
• Participation in public relations activities of the department and faculty

The Research Group Adaptive and Networked Production Systems performs research and teaching on innovative methods and applications of Artificial Intelligence in the context of Industry 4.0. A particular focus is laid on the development and advancement of declarative problem solving methods enabling highly flexible planning and control of complex operational tasks arising in industrial and social environments. Primary research activities concern the conception and implementation of dynamic, interactive and real-time optimization methods, improving the automation and efficiency of production processes, supply chains and personnel management. The Department of Applied Informatics is linked to international partners in science and industry and provides excellent collaboration opportunities.

Required Qualifications:

• Completed Master’s or Diploma studies with substantial focus on Informatics (e.g., in Informatics, Business Information Systems, Information Management or Data Science) at a domestic or foreign higher education institution
• Fluency in spoken and written English

Proof of fulfilment of the required qualifications is to be provided together with the application documents, by 12 December 2018 latest.

Additional Desired Qualifications:

• Basic knowledge and practical experience in one or more of the following areas:
  • Declarative Problem Solving
  • Knowledge Representation and Reasoning
  • Combinatorial Search and Optimization
  • Constraints and Preferences
  • Computational Complexity
  • Planning and Scheduling
  • Data Mining and Machine Learning
  • Algorithms and Implementation
• Good academic performance
• First scientific publication(s) (in addition to the Master’s or Diploma thesis)
• International and practical experience specific to the position
• Social and communicative competences
• Teaching experience and didactic competence

The position aims at the advanced professional and scientific training of graduates of a Master’s or Diploma degree programme with the goal of Doctoral Promotion in Applied Informatics. Applicants with a completed Doctorate or Ph.D. in a related discipline are therefore ineligible for the position.

Alpen-Adria-Universität Klagenfurt aims to increase the proportion of women in scientific positions, especially in leadership, and therefore encourages qualified women to apply for the position. In case of equivalent qualification, women are accepted preferentially.

People with disabilities or chronic diseases, who fulfil the requirements, are particularly encouraged to apply.

General information for applicants can be found at www.aau.at/en/jobs/information

Applications with the customary documents are to be submitted until 12 December 2018 indicating reference code 709H/18 to Alpen-Adria-Universität Klagenfurt, Dekanatekanzlei / Recruiting, exclusively via the online application form at www.aau.at/obf.

Travel and accommodation costs incurred during the application process will not be refunded.

Der Beitrag PreDoc Scientist (f/m) (in German: Universitätsassistent/in) at the Institute of Applied Informatics, Research Group Adaptive and Networked Production Systems – 709H/18 erschien zuerst auf Alpen-Adria-Universität Klagenfurt.

Source: AAU TEWI

Die Alpen-Adria-Universität Klagenfurt schreibt folgende Stelle zur Besetzung aus:

Senior Scientist mit Doktorat (w/m)

an der Fakultät für Kulturwissenschaften, Institut für Medien- und Kommunikationswissenschaft: CMC (ÖAW-Kooperation), im Beschäftigungsausmaß von 100 {c8db3f4443fb2f1c80e20e2e8420a201d47393e6b007c83f4847286f4b955a35} (Uni-KV: B1, lit. b, www.aau.at/uni-kv). Arbeitsort ist das Institut für vergleichende Medien- und Kommunikationsforschung (AAU/ÖAW) in Wien. Das monatliche Mindestentgelt für diese Verwendung beträgt € 3.711,10 brutto (14 x jährlich) und kann sich auf Basis der kollektivvertraglichen Vorschriften durch die Anrechnung tätigkeitsspezifischer Vorerfahrungen erhöhen. Voraussichtlicher Beginn des bis 31. Dezember 2021 befristeten Anstellungsverhältnisses ist der 7. Januar 2019.

Der Aufgabenbereich umfasst:

• Eigenständige Forschungs- und Lehrtätigkeit in der Organisationseinheit, insbesondere in den Bereichen Media Accountability und Media Governance
• Internationale Publikations- und Vortragstätigkeit
• Planung und Management von Langzeitprojekten
• Einwerbung von Drittmitteln
• Mitwirkung an Organisations- und Verwaltungsaufgaben sowie an Evaluierungsmaßnahmen

Voraussetzungen für die Einstellung:

• Abgeschlossenes Doktoratsstudium in einem einschlägigen Fachkontext (z.B. Publizistik, Medien- und Kommunikationswissenschaft) an einer in- oder ausländischen Hochschule
• Ausgewiesene Kenntnisse in den Bereichen Media Accountability und Media Governance
• Ausgezeichnete Kenntnisse in der Methodik der empirischen Sozialforschung

Der Nachweis für die Erfüllung aller Voraussetzungen für die Einstellung muss bis spätestens 28. November 2018 vorliegen.

Erwünscht sind:

• Erfahrung im universitären Lehr- und Forschungsbetrieb
• Einschlägige Projekterfahrung
• Didaktische Erfahrung
• Sehr gute Englischkenntnisse in Wort und Schrift
• Organisationskompetenz
• Kooperationsbereitschaft und Teamfähigkeit

Die Universität strebt eine Erhöhung des Frauenanteils beim wissenschaftlichen Personal an und fordert daher qualifizierte Frauen zur Bewerbung auf. Frauen werden bei gleicher Qualifikation vorrangig aufgenommen.

Menschen mit Behinderungen oder chronischen Erkrankungen, die die geforderten Qualifikationskriterien erfüllen, werden ausdrücklich zur Bewerbung aufgefordert.

Allgemeine Informationen finden BewerberInnen unter www.aau.at/jobs/information.

Bewerbungen sind mit den üblichen Unterlagen bis 28. November 2018 unter der Kennung 696H/18 an die Alpen-Adria-Universität Klagenfurt, Dekanatekanzlei/Recruiting, ausschließlich über das Online-Bewerbungsformular unter www.aau.at/obf zu richten.

Es besteht kein Anspruch auf Abgeltung von Reise- und Aufenthaltskosten, die aus Anlass des Aufnahmeverfahrens entstehen.

Der Beitrag Senior Scientist mit Doktorat (w/m) am Institut für Medien- und Kommunikationswissenschaft: CMC (ÖAW-Kooperation) – Kennung 696H/18 erschien zuerst auf Alpen-Adria-Universität Klagenfurt.

Source: AAU TEWI