Research and teaching assistant in automation, electronic, electrical engineering and space technologies

AGH University of Science and Technology, Poland

Updated: 11 months ago
Job Type: FullTime
Deadline: 15 Jun 2023

12 May 2023
Job Information
Organisation/Company

AGH University of Science and Technology
Department

Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of Automatic Control and Robotics
Research Field

Other
Researcher Profile

First Stage Researcher (R1)
Country

Poland
Application Deadline

15 Jun 2023 - 23:59 (Europe/Warsaw)
Type of Contract

Permanent
Job Status

Full-time
Hours Per Week

40
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

Yes

Offer Description

The candidate should fulfill the following conditions:

  • knowledge of scientific topics, confirmed by publications, manuscripts of publications, theses, projects, references or presentations at conferences and competitions, covering the following issues: machine learning, neural networks, deep neural networks, transformers architectures, computer vision, medical image analysis

  • authorship or co-authorship of at least four IF journal articles covering the above listed scientific topics,

  • knowledge of programming languages: Python, Matlab

  • knowledge of libraries and development tools: Tensorflow, Keras, Scikit-learn, OpenCV

  • knowledge of the English language at a level of C-2 as defined by the Council of Europe's Common European Framework of Reference for Languages (in particular scientific vocabulary, ability to analyse and edit scientific texts in English)

  • knowledge of the Polish language to the extent that it is possible to: prepare didactic materials (instructions, scripts) and conduct didactic activities (laboratories, lectures), candidates who are not Polish citizens should attach a certificate of knowledge of the Polish language at the level of at least C-1

  • at least two years’ experience in academic teaching in the field of machine learning, deep learning and image processing

  • familiarity with the Latex tool

  • practical experience in applying machine learning and image processing knowledge (for example active participation in scientific grants)

  • aptitude and passion for research and teaching


Requirements
Research Field
Other
Education Level
Master Degree or equivalent

Skills/Qualifications
machine learning, neural networks, deep neural networks, transformers architectures, computer vision, medical image analysis
Specific Requirements

  • Possession of a professional degree of Master of Science (Automatic Control and Robotics) in the automation, electronic, electrical engineering and space technologies discipline

  • Possession of the status of a doctoral student in the Doctoral School after a successful mid-term evaluation and completion of the modules preparing for academic teaching provided for in the curriculum of the Doctoral School


Languages
POLISH
Level
Excellent

Languages
ENGLISH
Level
Excellent

Research Field
Other
Years of Research Experience
1 - 4

Internal Application form(s) needed
Zgoda_rekrutacja_pracownik_EN_.pdf
English
(115.81 KB - PDF)
Download
Additional Information
Benefits

None


Eligibility criteria

Meeting the specified requirements.


Selection process

The selection committee will assess the documents provided by candidates.


Additional comments
  • application, CV, personal questionnaire,
  • a document certifying a degree of Master of Science (Automatic Control and Robotics) in the automation, electronic, electrical engineering and space technologies discipline,
  • copies of diplomas and other documents confirming qualifications,
  • proof of C2 level of language proficiency,
  • candidates who are not Polish citizens - a document confirming the knowledge of the Polish language at the minimum level C-1,
  • an opinion confirming science and teaching predispositions,
  • proof of a doctoral student status.

    • Work Location(s)
    Number of offers available
    1
    Company/Institute
    AGH University of Krakow, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of Automatic Control and Robotics
    Country
    Poland
    State/Province
    Małopolska
    City
    Krakow
    Postal Code
    30-059
    Street
    Al. Mickiewicza 30
    Geofield


    Where to apply
    E-mail

    [email protected]

    Contact
    State/Province

    Malopolska
    City

    Cracow
    Website

    https://kair.agh.edu.pl/kontakt/
    Street

    al. Mickiewicza 30
    Postal Code

    30-059
    E-Mail

    [email protected]
    Phone

    +48 12 617 46 78, +48 12 617 28 30

    STATUS: EXPIRED

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