Mathematics and Applications "R. Caccioppoli" Organisation/Company: University of Naples Federico II Department: Mathematics and Applications "R. Caccioppoli" Research Field: Computer science » Digital systems Researcher Profile: First Stage Researcher (R1) Positions: PhD Positions Country: Italy Application Deadline: 28 Feb 2025 - 12:00 (UTC) Type of Contract: Temporary Job Status: Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? Yes Offer Description The TUAI project aims to foster a new generation of researchers with a comprehensive understanding of Artificial Intelligence (AI) by promoting a transparent, open, and explainable perspective. The selected Early Stage Researchers (ESRs) will work on innovative research topics that bridge the gap between technical AI advancements and societal needs, ensuring that AI systems are designed and deployed ethically, responsibly, and inclusively. Successful candidates will be involved in the following activities: Conduct research within the scope of transparent and explainable AI, focusing on federated learning, graph neural networks, generative approaches, and others to enhance the interpretability and usability of AI systems. Collaborate with a multidisciplinary team of researchers and industry experts across Europe. Participate in research training courses, workshops, and summer schools to further develop skills and expertise. Contribute to the dissemination and communication of research findings within academic and non-academic settings, including presenting at top-tier conferences. Where to apply E-mail: modal.unina.hiringgmail.com Requirements Research Field: Computer science Education Level: Master Degree or equivalent Skills/Qualifications: Demonstrated deep scientific and technical knowledge, evidenced by publications or successful projects, in one or more of the following areas: Machine learning and neural network architectures (e.g., convolutional, recurrent, and transformer networks), Generative AI, Federated Learning, Graph Neural Network, Large Language Models, Scientific Machine Learning, Big data technologies and tools. Proficiency in Python is mandatory. Knowledge of additional programming languages such as C++, R, or Rust is considered a plus. Proficiency in using key Machine Learning and Deep Learning frameworks, particularly TensorFlow and PyTorch, is required. Familiarity with Visual Studio and its integration with relevant programming languages. Strong knowledge of Linux systems. Experience using version control systems such as Git, GitHub, GitLab, or similar tools for collaborative software development and version management. An excellent academic record and proficiency in English (both written and spoken) at a minimum B2 level according to the European Framework of Reference. Specific Requirements: Must not have resided or carried out their main activity (work, studies, etc.) in the country of the host institution for more than 12 months in the 3 years immediately prior to the recruitment date. Must hold a Master's degree in a relevant field (e.g., Artificial Intelligence, Computer Science, Data Science, Mathematics, Engineering, or related disciplines) by the start date of the position. Applicants who have already completed a PhD are not eligible. Languages: ENGLISH Level Excellent Years of Research Experience: 1 - 4 The successful candidate will receive an attractive salary (around 3.3K) in accordance with the MSCA regulations for Early-Stage Researchers. The exact (net) salary will be confirmed upon appointment and is dependent on local tax regulations and on the country correction factor. In addition to the base salary, there are additional allowances provided, such as a living allowance, a mobility allowance, and a family allowance (if applicable). Additional Benefits International Research Environment: Join the dynamic and vibrant M.O.D.A.L. lab (https://www.labdma.unina.it), an international research hub that fosters collaboration across academic and industry sectors. Mobility and Collaboration: Experience mobility across prestigious partner institutions and industry partners in multiple countries. Living in Naples: Enjoy living in the enchanting city of Naples, renowned for its rich history, cultural heritage, gastronomy, and vibrant lifestyle. Selection process How to Apply Submit a detailed and updated scientific CV to modal.unina.hiringgmail.com with the email subject: "TUAI - Name Surname" (e.g., "TUAI - John Doe"). A motivation letter (maximum 2 pages) highlighting your experience and alignment with the ESR position. Name and contact details of at least one referee who would be willing to write a letter of support for your application. Copies of your degree certificates and academic transcripts. List of publications and patents (if applicable). Any English language and other relevant certificates (if applicable). MANDATORY APPLICATION FORM: Complete the application form available at https://forms.gle/4UapoajGZ5Mezruk7. Selection Process The selection process will consist of the following stages: Initial Screening: Candidates whose profiles are deemed a good fit based on CV screening and evaluation of their motivation letter or video will be invited to a two-stage interview process. Two-Step Interview Process: First Interview and Final Technical Interview. J-18808-Ljbffr