Research Associate (m/f/d) with expected full-time employment - E 13 TV-L HU (third-party funding limited until 30.09.2027)

Humboldt University of Berlin
Germany
September 23, 2023
Contact:N/A
Offerd Salary:Negotiation
Location:N/A
Working address:N/A
Contract Type:Other
Working Time:Negotigation
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Kennziffer

DR/093/23

Kategorie(n)

 Wissenschaftliches Personal

Anzahl der Stellen

1

Einsatzort

Faculty of Mathematics and Natural Sciences – Department of Computer Science

Aufgabengebiet

  • conduct research in the fields of process mining, data engineering, and related areas
  • develop techniques for the distributed abstraction of sensor data for the purpose of process analysis, also including privacy considerations
  • implement and evaluate the developed techniques
  • collaborate with other researchers and visit other research groups within SOURCED and its international network
  • publish research results in renowned journals and the proceedings of leading international conferences
  • take tasks for their own academic qualification

    • Anforderungen

  • an excellent MSc degree (PhD level position) or an excellent PhD (Postdoc level position) in computer science, or related fields
  • knowledge in the fields of process mining and data engineering
  • expertise in the development of algorithms for distributed data processing
  • very good programming skills
  • experience with sensor data and methods for pattern detection
  • excellent scientific communication and writing skills in English

    • Bewerbung bis

    14.09.23

    Bewerbung an

    Please send your application (including a cover letter, a complete CV and copies of relevant certificates and documents) quoting the reference number preferably in electronic form as a single PDF file to [email protected] or to Humboldt-Universität zu Berlin, Faculty of Mathematics and Natural Sciences, Department of Computer Science, Prof. Weidlich (located: Rudower Chaussee 25, 12489 Berlin-Adlershof), Unter den Linden 6, 10099 Berlin.

    The Humboldt-Universität zu Berlin is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only.

    Data protection information on the processing of your personal data within the framework of the advertisement and selection procedure can be found on the homepage of Humboldt-Universität zu Berlin: https: // hu.berlin/DSGVO.

    Please visit our website www. hu-berlin.de/stellenangebote, which gives you access to the legally binding German version.

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