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Research Associate "Spatio-temporal Statistics for the Transition of Energy and Transport" Facu[...]

Fachhochschule Dortmund

Dortmund

Vor Ort

EUR 40.000 - 60.000

Teilzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Fachhochschule Dortmund sucht einen Teilzeit-Wissenschaftlichen Mitarbeiter im Bereich 'Raum-zeitliche Statistiken für den Übergang von Energie und Verkehr'. Die Stelle ist in einem DFG-Forschungsprojekt angesiedelt und bietet die Möglichkeit zur Promotion. Sie arbeiten in einem internationalen Team und gestalten innovative Forschungsprojekte.

Leistungen

Flexible Arbeitsplatzoptionen
Umfangreiche Weiterbildungsmöglichkeiten
Moderne Universitätsumgebung

Qualifikationen

  • Diplom oder Master in Statistik, Datenwissenschaft oder ähnlichem.
  • Gute Kenntnisse in statistischer Software wie R, SAS, JMP und Python.
  • Gute schriftliche und mündliche Kenntnisse in Deutsch und Englisch sind erforderlich.

Aufgaben

  • Entwerfen von Computersimulationen und statistische Modellierung.
  • Durchführung originärer Forschung in Sensitivitätsanalysen und experimentellem Design.
  • Überwachung des Projektmanagements und Dokumentation.

Kenntnisse

Statistische Software (R, SAS, JMP)
Python
Interdisziplinäre Zusammenarbeit

Ausbildung

Diplom oder Master in Statistik oder Datenwissenschaft
Mathematik, Informatik oder Logistik

Jobbeschreibung

Join our university -as soon as possible, part-time (75%) and temporary until 30.06.2028 as

Research Associate "Spatio-temporal Statistics for the Transition of Energy and Transport"

Faculty of Computer Science
(Salary level: 13 TV-L)


The position is part of the project “Uncertainty quantification for decision support in transport logistics systems“ within the DFG-Collaborative Research Center/Transregio 391(https://www.trr391.tu-dortmund.de). The opportunity for concurrently pursuing a PhD is offered.

Your area of responsibility.
    • Designing computer experiments on logistic systems, statistical modelling of key performance indicators and uncertainty quantification.
    • Conducting original research e.g. in the fields of global sensitivity analysis, design of experiments, Gaussian process models and generalized additive models.
    • Overseeing and coordinating the project management on the day-to-day level, supervising student assistants, preparing required documentation.
    • Writing scientific publications for conferences and journals.
    • Working in an interdisciplinary, international team of statisticians, experts in logistics and computer scientists.
Your qualifications and competencies.
    • A diploma or master’s degree in statistics or data science, or alternatively mathematics, computer science, logistics or a related program (with a focus on statistics or data science).
    • Knowledge of statistical software such as R, SAS and JMP as well as Python.
    • A strong interest in interdisciplinary work.
    • The capability to communicate scientific concepts in an accessible way.
    • A good level of written and spoken German and English is mandatory for this position.

    We are looking forward to applications by an open-minded, inquisitive and committed person with a sense for the essential and thinking outside of the box.

As an employer, Fachhochschule Dortmund...
  • offers - the advantages of working in public service, in particular employment under the Collective Agreement for Public Service of the Federal States (TV-L).
  • promotes - the application of the latest scientific findings and the ongoing development through an extensive range of further education and training opportunities.
  • focusses - on family and health by providing flexible work-/part-time solutions, telework/home office as well as offers by the Family Service and Health Management.
  • provides- a modern university environment characterized by unique campus locations and good accessibility in the middle of the vibrant Ruhr Metropolis Dortmund.

We encourage applications of qualified persons with severe disabilities and persons with disabilities with equivalent status in accordance with section 2 of the German Social Security Code (SGB) IX. We are also aiming to increase the proportion of women at our university and therefore particularly welcome applications from female candidates. This position is also suitable for part-time employment.

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