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Technologies-expected : Python responsibilities : this position is intended for a researcher in Machine Learning for predictive maintenance of offshore wind turbines, whose tasks will include: development and adaptation of ML algorithms for the analysis of time series of measurement data for classification and prediction tasks implementation and optimization of ML models on a cloud computing platform collaborative writing of research papers for international conferences and journals in the field of artificial intelligence and its applications in wind Energy preparing technical reports for an international consortium of a European research project requirements-expected : Ph. D. in Computer Science or Engineering, Electrical or Mechanical Engineering, Physics or other related technical field proven track of professional academic or industrial experience of at least 3 years (reference letter) proven track record of industrial/academic activity in advancing the state-of-the-art of machine learning (list of publications) hands-on experience adapting the following technologies in the development of novel technology-based approaches as part of research projects: Num Py, Sci Py, scikit-learn, Tensor Flow, Pytorch, Keras, etc. strong and proven end-user relationship skills including the ability to discover the true technical challenges and requirements associated with opportunities, recommending alternative technical approaches, and shaping future opportunities understanding of modern deep learning architectures, including convolutional neural networks, recurrent neural network and transformers Python proficiency proficiency in developing, training, and deploying models both in cloud platforms as well as on-prem resources. Any experience deploying models in various Federated Learning schemes is highly desired proficient in data exploration techniques and tools good communication skills, able to explain model training and performance results to a non-computer science audience good written and oral communication skills in English for preparing scientific papers and conference presentations conveying complex technical information clearly and coherently must be a person allowed to work in Poland and to travel within the Schengen (EU) zone offered : pay range from 11,000 PLN (2,580 EUR) up to 16,000.00 PLN (3,750 EUR) gross salary. Its final level will be determined by considering all factors listed above during evaluation of the winning application based on the education, experience, knowledge, skills, and abilities of the candidate. The upper limit of the pay range is not a guarantee of compensation or salary opportunity to work in an international team of experts with an established reputation in the area of design and operation of offshore wind farms under the umbrella of European research programs access to the state-of-the-art TASKcloud operated by Gdańsk University of Technology (Gdańsk Tech) unlimited access to the university library and all digital libraries licensed to Gdańsk Tech, including IEEE Xplore and ACM DL on campus there are: refreshment kiosks, relaxation areas and free parking lot work in a well-connected Tri-city agglomeration (trams, busses, fast city trains, bike paths, etc) with healthy and attractive recreational surroundings (marinas, sea beaches, forests, lakes, etc.) and historical places