Catholic University of Córdoba

Abstract: This position focuses on the development of intelligent and autonomous drone systems, integrating AI, edge computing, and digital twin technologies for mission autonomy and predictive analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under industrial conditions. Keywords: Artificial intelligence, autonomy, digital twin, edge computing, UAV systems. Objectives: Support the development of AI and machine learning algorithms for autonomous navigation. Assist in building digital twin models to monitor drone health and mission performance. Contribute to IoT integration and real-time data acquisition systems. Participate in testing and deployment of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor fusion for autonomy. Digital Twin & Edge Computing: Implement real-time synchronization and analytics. IoT Integration: Design and manage data acquisition from sensors and UAVs via embedded systems. Validation: Participate in field trials for performance and reliability testing. Expected Outcomes: Contribution to AI-enabled UAV demonstrator (TRL 6). Support in the deployment of a digital mission platform. Participation in academic or industrial publications and reports. Profile of the Research Assistant Candidate & Application Materials: Engineering degree or equivalent in Computer Science, Robotics, or Electrical Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development. Application materials: CV, cover letter, and one recommendation letter.

Classification: Academic Level B1 Salary package: $124,638 per annum plus 17% superannuation Terms: Full time, Fixed Term (2 years) Flexible arrangements, job share, or part time hours will be considered. Design new algorithms and systems at the cutting edge of artificial intelligence research Collaborate with a vibrant and internationally recognised research group at ANU Work with industry and government partners to apply AI research to real-world outcomes Position Description and Selection Criteria: PD&PEWER_Level B_Research Fellow in AI.pdf About the opportunity This position is a fixed term appointment for a period of two years (24 months) to contribute to research in artificial intelligence, with a particular focus on large language models and their applications. Applications are particularly invited from researchers who undertake high-impact collaborative and cross-disciplinary research, and whose interests and expertise contribute to the activity cluster, School, and College. In-depth knowledge in at least one of the following areas will be highly regarded: the technology of large language models, natural language and text processing, qualitative and quantitative methods for evaluating system and user behaviour. Join a growing portfolio of projects in artificial intelligence, natural language processing, and machine learning. These projects build on the School’s strengths in AI, machine learning and vision, natural language understanding and robotics. They also collaborate with other requisite disciplines to integrate human and social values in AI systems, touching on aspects of philosophy, cognition, policy, and safety. You will conduct research on Human-Centred AI with applications in bridging the information gaps in real world applications and design and implement novel algorithms, formulating and solving human-centered AI problems. The Research Fellow will also support the development of partnerships with industry and government stakeholders, engage with the wider research community to advance computing research and education capabilities. In addition, you will contribute to the School educational programs, including being the mentor for research students and teaching activities that align with your career development. The nature and scope of these activities will be negotiated between the Research Fellow, their supervisor, and the school. About the School The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational science. Our mission is motivated by the need to design, drive and sustain strategic activities via five broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. Be part of an innovative and forward-looking intellectual agenda, built on a diverse, inclusive culture. About the College As one of the great universities of the world, ANU is driven by a culture of excellence in everything we do. Our lived experience is increasingly one of large-scale systems of people, whose actions and interactions are influenced by our digital, physical and biological environment. The ANU College of Systems and Society (CSS) hosts many of the key disciplines necessary to help us design, build, regulate and secure the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven policy and business development. The work we do in the College is to strengthen our national mission and meet our unique responsibilities as Australia’s national university. We will deliver on our mission by building a strong community, providing transformative educational experiences, conducting high-impact research, seeking meaningful engagement, and becoming a resilient organisation. We welcome and openly acknowledge differences in expertise, research / education / professional focus, experience and perspective. CSS is a vibrant and diverse community of more than three thousand students, staff, and visitors. Our College is comprised of the School of Computing, School of Cybernetics, School of Engineering, Fenner School of Environment & Society, Mathematical Sciences Institute, and the Australian National Centre for the Public Awareness of Science, supported by the Professional Services Group. Enquiries To enquire about this role, please contact Professor Lexing Xie, E: lexing.xie@anu.edu.au or P: +612 6125 1646 Our commitment to diversity, belonging, inclusion and equity ANU is committed to building a diverse and inclusive community, and particularly welcomes applications from women, Aboriginal and Torres Strait Islander people and candidates from culturally and linguistically diverse backgrounds. Furthermore, it is practice in the ANU College of Systems and Society to actively seek a gender mix of shortlisted candidates for interview. We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break, had career disruptions or who have achieved excellence in careers outside of the higher education sector. We support applicants who require flexible arrangements in their work environments or patterns. What we offer The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. We also offer generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, staff and family tuition fee discounts, ANU school holiday programs, and childcare facilities on campus. How to apply Applicants must apply online via the ANU recruitment portal and should upload the following separate documents: A detailed curriculum vitae (CV) including a full publication list and the names and contact details of at least three referees (preferably including a current or previous supervisor). A cover letter telling the selection committee about your interests and expertise in AI research, in particular large language models and their applications. (Optional) An achievement relative to opportunity statement where appropriate. Applications which do not address the selection criteria may not be considered for the position. Please note: The successful candidate must have rights to live and work in this country. This position is open to visa sponsorship. An offer of employment is conditional on satisfactory results of a background check conducted during the recruitment process. Closing Date: Wednesday 22 July 20266, 11:55pm (AEST) 

Title: Post-doc position Discipline: Process Mineralogy, Mineral Processing, Artificial Intelligence Duration:12 months, with the possibility of renewal for an additional 12 months Institutions: UM6P-Benguerir/ Mineral-X - Stanford University Starting date: As soon as possible We are seeking a Postdoctoral Fellow to join an exciting research project related to improving the recovery of phosphate from flotation tailings using process mineralogy. The successful candidate will have the opportunity to lead and conduct research at the intersection of process mineralogy, mineral processing, and artificial intelligence in a collaboration between Geology and Sustainable Mining Institute (UM6P, Morocco), and Mineral-X (Stanford University, USA).  Qualifications PhD in process mineralogy, mineral processing, mining, chemical or geological engineering, or a PhD in a related field with mining/mineral processing experience. Knowledge of process mineralogy, froth flotation through past research, coursework, or job experience. Proficiency in programming (Python, Julia) (provide evidence with specific examples). Experience with statistical modelling and experimental design. Ability to work in a multidisciplinary team. Strong written and oral communication skills. Context and objectives Process mineralogy is a discipline that has recently been used for diagnosing and improving ore processing flowsheets such as flotation. It is well known that flotation performance depends on several intrinsic and extrinsic parameters. The intrinsic parameters of the process include, among others, the type of reagents, their dosages, the solid concentration, and the air flow rate. However, the extrinsic parameters include the properties of the ore to be floated, namely its particle size distribution, the degree of mineral liberation, mineral associations, and the surface properties of the minerals. In general, a mineral cannot be floated even if the processing conditions are optimized if it is locked (encapsulated). To improve flotation recovery, regardless of process parameters, it is essential to conduct a physical, chemical, and mineralogical analysis of the tailings to study the distribution of phosphates and their relationships with gangue minerals such as silicates and carbonates. Main tasks The selected candidate will work on: Process-mineralogical characterization of the feed, concentrate, and flotation tailings. Testing the effectiveness of different grinding energies on phosphate liberation within flotation tailings. Developing an AI-driven intelligent framework to optimize grinding time to enhance phosphate liberation with minimum slime generation. Design of laboratory flotation tests to optimize process parameters. How to apply? Candidates must upload the following documents via the recruitment platform: Cover letter summarizing your research interests and qualifications. CV including a list of publications and research projects. Contact information for 1 reference.