.Research Engineer - Artificial Intelligence, Machine Learning and Signal Processing Job Reference: RRP.12.31.14.4 Employer: International Iberian Nanotechnology Laboratory (INL) Location: Braga, Portugal Group/Unit: M. Martins Research Group Number of Vacancies: 1 Employment Type: Full time Contract Duration: 13 months Open Date for Applications: October 2nd, 2024 Closing Date for Applications: October 22nd, 2024, 23h00m (Lisbon Time) Key Words: #ArtificialIntelligence #MachineLearning #DeepLearning #SupervisedLearning #ReinforcementLearning #ArtificialNeuralNetworks #SupportVectorMachines #BayesianNetworks Overview The M. Martins Research Group is expected to function as a cohesive, multifaceted engineering team that promotes the INL's core R&D&I skills, particularly in system engineering. It aims to expand the installed capacities for an interdisciplinary approach to transform concepts into high-quality nanotechnology-based products and services. The objective is to create a multidisciplinary team of Engineers from different areas, namely Mechanical, Electric, Physics, Computer Science, and Machine Learning, to work closely with each other, ensuring continuity between the knowledge accumulated at INL and the existing knowledge in companies, enabling faster and more effective knowledge transfer. We are looking for a Research Engineer to join our group in various projects, including: Stationary batteries for renewable energy self-consumption Batteries as key elements in virtual power plants Sensors for presence detection Portable SERS platform for antibiotic residues detection Job Duties The Research Engineer will be responsible for designing and building systems and interfaces in several areas of application and will undertake the following main activities and responsibilities: Model, build, and test AI software to ensure it can handle large datasets and achieve desired results. Analyse and interpret data signals, images, time series, etc. Design and develop AI models from scratch. Find patterns and anomalies within large datasets using supervised and unsupervised methods. Design, build, and manage ML software applications. Conduct experimentation and prototyping. Use Python, JavaScript, and C++ to create a faster, more capable AI. Analyse statistics, data, and algorithms for projection accuracy. Stay current on AI knowledge, trends, and regulations. Address ethical considerations and promote responsible AI practices. Collaborate and communicate within an interdisciplinary team. Mandatory Qualifications Education MSc in Artificial Intelligence, Machine Learning, Data Science, Computer Engineering, Computer Science or any other related field. Experience At least 1 year of professional experience in the industry. Technical Skills Programming Languages: Python, including libraries such as TensorFlow, PyTorch, scikit-learn, and Keras; JavaScript, including frontend development and integration with Node
