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HomeCompaniesGus GermanyProfessor of Business Analytics (m, f, d)

Professor of Business Analytics (m, f, d)

Gus Germany · Hamburg · Deleted · Personio

Job facts

FieldValue
CompanyGus Germany
TitleProfessor of Business Analytics (m, f, d)
Normalized title-
Department / teamAcademic Faculty / UE University of Europe for Applied Sciences
LocationHamburg
Work model-
Employment typeFull Time
Salary-
Statusdeleted
ATS providerPersonio
Posted / first seen2026-04-29 / 2026-05-30
Changed / last seen2026-06-03 / 2026-06-01

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Department jobsActive postings in Academic Faculty.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyGus Germany
Sourcec3bc6bda-480d-4dee-b2b1-ade842543392
ATS providerPersonio

Description

Your Responsibilities The opportunity: We are looking for a new colleague to join our Business Faculty in Hamburg on a full-time basis starting 01.09.2026, who shares our vision of excellence in education and is committed to making a difference in the lives of our students and staff. In this role, you will deliver engaging and practical modules, leverage students’ expertise to create real-world connections, and foster an inclusive learning experience that values diverse and creative problem-solving. You’ll play an instrumental role in delivering high-quality, future-oriented education, empowering students to develop the skills and mindset needed to thrive in a globalized and rapidly evolving world. Your contributions will have a lasting impact on the academic journey of your students and support the continued growth of both the university and its vibrant international community. Key Activities & Responsibilities: Conducting introductory and advanced courses in the areas of Business Analytics Data Analytics Machine Learning Artificial Intelligence  Ethical and Responsible Artificial Intelligence  Planning and implementing interdisciplinary research and development projects Advising and supervising students to help them achieve their goals Grading student work, supervising seminars, projects, and bachelor/master theses ensuring high academic and didactic standards Establishing industry collaborations and partnerships to further grow the network of the University Participate in university administration and committee work, actively supporting the success of UE Contributing to the conceptual design of new study programmes and the continuous development of existing curricula  Advising prospective students and contributing to UE’s outreach activities Requirements for a professorship: University studies completed with a Master’s degree or equivalent in Computer Science, Mathematics, or a related field Proof of exceptional aptitude for scientific work, usually demonstrated by the quality of a doctorate and/or the quality of scientific publications At least three years of qualified professional experience, with two years outside of a university, in Business Analytics, Data Science, or related domains Your profile Experience in teaching courses in the areas of Business Analytics, Data Science, Artificial Intelligence National and international work experience Ability to teach courses in English language Ability to teach courses in German language is an advantage Publication and research activity is a strong asset Commitment to applied research, student engagement, and curriculum innovation Strong ability to communicate and work in a team Interested? We look forward to receiving your application! The hiring requirements for professorships are based on the provisions of § 43 of the university law of the Federal State of Brandenburg/Germany. The award of the title Professor by the University of Europe for Applied Sciences is contingent on the approval of the Ministry of Science, Research, and Culture of the Federal State of Brandenburg/Germany. How to Apply: Please submit your application, including the following documents, to   [email protected] by June 1, 2026 : ·         Curriculum vitae ·         Doctoral degree certificate and/or comprehensive list of publications ·         Overview of courses taught to date (scope, topic) as well as teaching evaluations ·         Work certificates/professional references (incl. work hours). Your contact for professional questions: Prof. Dr. Iris Lorscheid Zurheide  [email protected] The university aims to increase the proportion of women among its employees. Therefore, we expressly invite women with a suitable profile to apply. As an employer, we are committed to equal opportunity and support for minorities and do not discriminate on the basis of ethnic origin, colour, religion, gender, sexual orientation, gender identity, national origin, disability or legally protected status. Why us? Opportunity to work with a great team in a dynamic and international environment Creative freedom to develop and implement new ideas and teaching formats Access to research funding and professional networks across GUS Preventive and aftercare health care options 30 days of vacation Opportunities for continuous professional development and online training A collaborative environment where innovation and diversity are valued Numerous campus events from the fields of art, culture, business and science

Full job record

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Org ID4b789a02-f2cc-4630-87e8-1ad0e844b73e
Source IDc3bc6bda-480d-4dee-b2b1-ade842543392
Board IDc3bc6bda-480d-4dee-b2b1-ade842543392
Providerpersonio
Provider Job Key2618145
TitleProfessor of Business Analytics (m, f, d)
Normalized Title
Statusdeleted
Activeno
Location TextHamburg
DepartmentAcademic Faculty
TeamUE University of Europe for Applied Sciences
Employment Typefull_time
Workplace Type
Remote Policy
CountryHamburg
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://gus-germany.jobs.personio.de/job/2618145?language=en
Apply URLhttps://gus-germany.jobs.personio.de/job/2618145?language=en
First Seen At2026-05-30 06:05:02Z
Last Seen At2026-06-01 12:38:07Z
Last Checked At2026-06-03 12:38:21Z
Last Changed At2026-06-03 12:38:21Z
Inactive At2026-06-03 12:38:21Z
Source Posted At2026-04-29 13:27:35Z
Source Updated At
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=personio/board=gus-germany.de/date=2026-06-01/2026-06-01T12-38-05-863Z-1acb7b34c768ca8660479e392e1db0043d41640a2b2d463598103451845e97e3.json
Event Fields
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  "last_changed_at": "2026-06-03T12:38:21.736Z",
  "active_status": "deleted"
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Parsed Structured
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Extensions
{}
Native Structured
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    {
      "name": "Your Responsibilities",
      "value": "The opportunity:<br> <br>We are looking for a new colleague to join our Business Faculty in Hamburg on a full-time basis starting 01.09.2026, who shares our vision of excellence in education and is committed to making a difference in the lives of our students and staff.<br> <br>In this role, you will deliver engaging and practical modules, leverage students’ expertise to create real-world connections, and foster an inclusive learning experience that values diverse and creative problem-solving. You’ll play an instrumental role in delivering high-quality, future-oriented education, empowering students to develop the skills and mindset needed to thrive in a globalized and rapidly evolving world. Your contributions will have a lasting impact on the academic journey of your students and support the continued growth of both the university and its vibrant international community.<br> <br>Key Activities & Responsibilities:<br> <br><ul><li>Conducting introductory and advanced courses in the areas of<ol><li>Business Analytics</li><li>Data Analytics</li><li>Machine Learning</li><li>Artificial Intelligence </li><li>Ethical and Responsible Artificial Intelligence </li></ol></li><li>Planning and implementing interdisciplinary research and development projects</li><li>Advising and supervising students to help them achieve their goals</li><li>Grading student work, supervising seminars, projects, and bachelor/master theses ensuring high academic and didactic standards</li><li>Establishing industry collaborations and partnerships to further grow the network of the University</li><li>Participate in university administration and committee work, actively supporting the success of UE</li><li>Contributing to the conceptual design of new study programmes and the continuous development of existing curricula </li><li>Advising prospective students and contributing to UE’s outreach activities</li></ul> <br>Requirements for a professorship:<br> <br><ul><li>University studies completed with a Master’s degree or equivalent in Computer Science, Mathematics, or a related field</li><li>Proof of exceptional aptitude for scientific work, usually demonstrated by the quality of a doctorate and/or the quality of scientific publications</li><li>At least three years of qualified professional experience, with two years outside of a university, in Business Analytics, Data Science, or related domains</li></ul>"
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    },
    {
      "name": "Why us?",
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    }
  ],
  "occupationCategory": "training_and_instruction",
  "recruitingCategory": "UE University of Europe for Applied Sciences"
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