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

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