Scientific Employee (f/m/d) Machine Learning with Computer Vision Expertise Helmholtz-Zentrum Dresden-Rossendorf e.V.
Anzeige vom: 08.12.2024

Scientific Employee (f/m/d) Machine Learning with Computer Vision Expertise

Standort:
  • Dresden
Helmholtz-Zentrum Dresden-Rossendorf e.V.

Zusammenfassung

  • Arbeitszeit
    Vollzeit
  • Typ
    Festanstellung
  • Qualifikationslevel
    B Ausübungsformen

Gewünschte Fähigkeiten & Kenntnisse

Machine Learning
Networking
Edge
Programmiererfahrung
High-Performance-Computing
Rust
CAN
Big Data Analytics
Scikit-learn
Data Analysis
Mobile App
Python
Analyse
Natural
TVöD
Support
CMS
Computer
Flexibilität
Engagement

Unsere Leistungen

Firmenticket
Mitarbeiterangebote

Stellenbeschreibung

With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed to mastering the great challenges facing society today.



Ihre Aufgaben


  • Design, implementation, comparison and testing of uncertainty quantification of AI models for computer vision in collaboration with other team members

  • Research on current topics of image analysis/computer vision and generative AI in terms of uncertainty determination

  • Creation of reusable and open tools for determining uncertainties in AI models of computer vision (and possibly beyond) in collaboration with industry or scientific partners

  • Translation or transfer of findings on uncertainty quantification in applications in the field of matter and/or the life sciences



Ihr Profil


  • Completed university studies (Master/Diploma/PhD) in the field of Computer Science, Mathematics, Natural Sciences or related disciplines

  • You have basic understanding of reproducible science and the principles for Open Science

  • You have a good understanding of mathematical and algorithmic concepts such as e.g. Deep learning based classification and regression (segmentation or domain adaptation)

  • You have proven expertise in machine learning and related project contributions (publication in peer reviewed journals or conferences is considered a bonus) on this topic

  • You have proven expertise in data science or statistical data analysis and related project contributions (publication in peer reviewed journals or conferences is considered a bonus) on this topic

  • You have programming experience in Python (R, Julia, Rust are considered a bonus)

  • You have experience with machine learning APIs, libraries and frameworks such as pytorch, keras, scikit-learn

  • You have experience in using high-performance computing systems

  • You enjoy learning new and developing your skills

  • You are creative and would like to implement our ideas in a team

  • You have a tolerant and open approach to your work

  • You bring self-motivation, self-reflection and willingness to cooperate

  • You have conversational skills in German and excellent English skills in writing and conversations



Wir bieten Ihnen


  • A vibrant research community in an open, diverse and international work environment

  • Scientific excellence and extensive professional networking opportunities

  • Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL)

  • We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours

  • Numerous company health management offerings

  • Employee discounts with well-known providers via the platform Corporate Benefits

  • An employer subsidy for the "Deutschland-Ticket Jobticket"



Kontakt


We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=73507

Profil

Fachliche Voraussetzung

  • APIs, Bildanalyse, Biologie, Computer Vision, Computerprogrammierung, Data Science, Deep Learning, Generative AI, Informatik, Keras, Künstliche Intelligenz, Machine Learning, Mathematik, Naturwissenschaft, Publizieren, Python, Pytorch, Quantifizierung, Reproduzierbarkeit, Scikit-learn, Statistiken, Testen, Veranstaltungsmanagement, Zeitschriften

Persönliche Fähigkeiten

  • Durchhaltevermögen, Eigenmotivation, Kreativität, Lösungsorientiert, Teamarbeit

Schulabschluss

  • Bachelor

Sprachkenntnisse

  • Deutsch, Englisch

Bewerbung

    Branche:

    Bildung / Forschung

    Arbeitgeber:

    Helmholtz-Zentrum Dresden-Rossendorf e.V.

    Adresse:

    Helmholtz-Zentrum Dresden-Rossendorf e.V.
    Bautzner Landstr 400
    01328 Dresden

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