Workplace Image AIT Austrian Institute of Technology GmbH
Logo AIT Austrian Institute of Technology GmbH

Junior Scientist Algorithm Development for Medical Software

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Job

  • Level
    Junior
  • Job Field
    Software, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    from 55.482 € Gross/Year
  • Location
    Vienna
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop algorithms for analyzing biomedical signals, optimize models using machine learning frameworks, and accompany their journey from conception to implementation as certified medical products.

    Job Technologies

    Your role in the team

    • As part of our interdisciplinary, agile team, you will develop algorithms for the analysis of biomedical signals with a focus on machine learning approaches and modeling.
    • You will be responsible for requirements analysis in close collaboration with medical professionals and work on the implementation and optimization of algorithms in popular deep learning frameworks.
    • They oversee the development of innovative algorithms from conception to implementation as a certified medical device.
    • You publish your innovative results in professional journals and present them at scientific conferences.
    • You will gain insight into the planning and execution of research projects and actively assist in the preparation of research proposals.
    • Additionally, with increasing experience, you can also take on coordination tasks and project acquisitions.
    • The algorithms you co-developed are part of products with outstanding performance that are used internationally in clinics and make a direct contribution to patient care.

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    Our expectations of you

    Education

    • Completed technical education (FH, university) in the field of computer science, electrical engineering, biomedical engineering, artificial intelligence, or a comparable field.

    Qualifications

    • Excellent programming skills in Python, Matlab, and knowledge of essential packages for scientific data analysis.
    • Knowledge of C++ is an advantage.
    • Knowledge of current development and integration toolchains for Machine Learning.
    • Interested in engaging deeply with medical issues as well.
    • Hands-on mentality and affinity for creating sustainable technical solutions.
    • High commitment and strong team spirit.
    • Very good spoken and written English skills.
    • Knowledge of German is an advantage.

    Experience

    • Experience with Deep Learning and in the development of classical signal processing algorithms.
    • Ideally, initial experience in processing biosignals.

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    Benefits

    Health, Fitness & Fun

    Work-Life-Integration

    Food & Drink

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    Job Locations

    Map of company locations
    • Location Vienna

      Giefinggasse 4

      1210 Wien

      Austria

    Topics that you deal with on the job

    This is your employer

    AIT Austrian Institute of Technology GmbH

    AIT Austrian Institute of Technology GmbH

    Wien, Klagenfurt, Graz, Hall In Tirol, Dornbirn, Seibersdorf, Steyr-Gleink, Wien, Braunau Am Inn - Ranshofen, Wien, Tulln

    The AIT Austrian Institute of Technology is Austria's largest research institute and is considered a specialist in central infrastructure issues for the future, Europe-wide.

    Description

  • Company Size
    250+ Employees
  • Founding year
    2007
  • Language
    German, English
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Science, Research
  • Dev Reviews

    by devworkplaces.com

    Total

    (2 Reviews)
    3.8
    • Career Growth

      3.6
    • Engineering

      4.0
    • Culture

      4.2
    • Workingconditions

      3.7
    All Dev Reviews on devworkplaces.com
    Logo AIT Austrian Institute of Technology GmbH

    Junior Scientist Algorithm Development for Medical Software

    Salary
    from 55.482 € Gross/Year
    Location
    Vienna
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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