• Collaborate with UX Designers, Product Managers, and stakeholders to define research objectives and key questions • Assist in planning and conducting user research activities, including user interviews, surveys, usability tests, and card sorting exercises, using AI to generate research materials • Leverage AI-powered tools to analyze qualitative and quantitative data, identify patterns, and generate insights more efficiently • Use AI assistance to synthesize research findings, create user personas, journey maps, and research reports • Participate in usability testing sessions, observe user interactions, and document findings • Support the creation and maintenance of research repositories to ensure insights are accessible and actionable across the company • Help translate research findings into clear recommendations for design and product teams

Role Description This post was previously advertised as Job ID: 6441. All applications received in response to the previous advertisement will automatically be considered again. Previous applicants should not reapply. KINDLY TAKE NOTE: Applications may only be submitted online through the official UFS vacancy website: https://ufs.hua.hrsmart.com/hr/ats/JobSearch/viewAll - Applications submitted through any other platform will not be considered. - The system allows a maximum of eight attachments. To avoid upload issues, we recommend merging some or all documents into fewer files before submitting. - INCOMPLETE APPLICATIONS WILL NOT BE CONSIDERED! To ensure your application is complete, you must submit ALL documents listed under the inherent requirements, as well as the following standard documentation: - A detailed Curriculum Vitae. - Copies of your qualifications, or official proof of qualifications obtained (If you hold foreign qualifications, please include SAQA accreditation). - A copy of your identity document (South African ID or passport for foreign nationals). - Confirmation of employment in the form of a letter, appointment contract, service certificate, or recent payslip from your current or most recent employer (applicable to external applicants only). Duties and responsibilities: - Provide and coordinate high-impact research programmes in Geographic Information Systems (GIS), remote sensing, and environmental management with emphasis on disaster risk reduction, climate resilience, and sustainable development. - Contribute to developing innovative geospatial methodologies and models for environmental assessment, hazard mapping, and risk analysis. - Pioneer the integration of GeoAI and advanced machine learning techniques in disaster risk and environmental research. - Establish and maintain a strong publication record in high-impact, internationally recognised journals. - Present research findings at prestigious international conferences and scientific forums. Qualifications - PhD on NQF Level 10 in Environmental Management, Geography, Geographic Information Systems (GIS), Geoinformatics, or a closely related discipline. - Proven experience in the presentation of papers/posters at national scholarly conferences. - Proven national recognition for specialist expertise and research in a specific area of scholarship. - An NRF rating or demonstrated potential for obtaining an NRF rating. - Proven experience in supervision of graduated master's-degree students. - A proven research record of relevant publications in national and international accredited journals. - Proven experience of service as an active member of a national or international scholarly society or committee or agency concerned with research at higher-education levels. Requirements - Minimum of 2 years postdoctoral research experience in relevant fields. - Demonstrated track record of research excellence with substantial publications in high-impact peer-reviewed journals (minimum 10 publications). - Proven experience in leading research projects and managing multidisciplinary teams. - Extensive expertise in advanced GIS and remote sensing software and methodologies. - Strong record of postgraduate student supervision with successful completions. - Excellent scientific writing, communication, and presentation skills. - Spatial modelling, geostatistics, and predictive analytics. - Disaster risk assessment and vulnerability analysis using GIS and Remote sensing. - GeoAI and machine learning applications in environmental science. - Big data analytics and cloud computing for geospatial applications. Benefits - Pension scheme - Medical aid scheme - Group life insurance - Housing allowance - Leave and sick leave - Service bonus - Study benefits Company Description The UFS is a designated employer and is committed to the pursuit of excellence, diversity, and redress in achieving its equity targets in accordance with the Employment Equity Plan of the University and its Employment Equity goals and targets. Preference will be given to candidates from the under-represented designated groups including candidates with disabilities. The University processes personal information in line with its obligations under the Protection of Personal Information Act (POPIA) and any personal information provided to the University will be treated as confidential and processed in accordance with the rights provided to data subjects under POPIA. The University reserves the right not to fill the post. The UFS will only consider applications of candidates who meet all the inherent requirements of the position. Applications that are incomplete will not be considered. Communication will be limited to shortlisted candidates only. Should you not be contacted within six weeks of the closing date for applications, you may assume that your application was unsuccessful.

Join our Team About this opportunity: - Ericsson's 6G vision is central to how society and industry will communicate in the 2030s and beyond-enabling sustainable, secure, and intelligent connectivity at a global scale. Artificial Intelligence is a foundational pillar of this vision, transforming how networks are designed, operated, and optimized. - At Ericsson Research, our AI organization operates at the intersection of cutting-edge machine learning, advanced reasoning, and real-world network systems. We work with live network data, influence global standards, and turn research into technologies deployed worldwide. - We are now looking for an AI Researcher who wants to work on problems that matter-problems whose solutions will shape the future of global connectivity for everyone and everything. Main Responsibilities As an AI Researcher at Ericsson, you will: - Research, design, and evaluate AI/ML concepts for future radio access networks, robotics and AI-native systems - Explore and apply emerging AI technologies to autonomous, largescale telecom networks - Develop algorithms, models, and simulation frameworks for next-generation network intelligence - Translate research ideas into prototypes, publications, patents, and standards contributions - Collaborate closely with experts across radio systems, networking, robotics and hardware platforms - Work with real-world constraints - performance, scalability, robustness, and energy efficiency - Engage with internal and external partners across academia and industry You will be trusted with meaningful responsibility from day one and supported by senior researchers who are leaders in their fields. What you bring You are curious, driven, and motivated by solving complex problems with real world impact.You enjoy working in interdisciplinary environments and are comfortable bridging theory and practice. Required Background: - MSc or PhD in AI, Data Science, Wireless Communications, Computer Science, Robotics, or a closely related field Desired Experience (not all required) : - Solid foundation in modern AI techniques, such as: - Deep learning - Reinforcement learning - Distributed learning - Generative AI - Probabilistic modeling - Stochastic optimization or graph-based methods - Strong programming skills in Python, Java and/or C++ and experience with ML frameworks such as PyTorch, JAX, or TensorFlow - Experience designing, training, and validating ML-driven systems - Familiarity with simulation-based evaluation methodologies - Exposure to containerized ML workflows (e.g., Docker, Kubernetes) - Interest or experience in telecommunications, networking, robotics or signal processing - Ability to communicate complex ideas clearly in English, both verbally and in writing What Sets You Apart - A strong research mindset and the ability to generate novel ideas - Motivation to publish, patent, and influence future standards - Ability to explain AI concepts to non-AI specialists - High level of ownership, analytical thinking, and problem-solving ability - Willingness to continuously learn and work across adjacent domains Why Ericsson Research - Work on long term, high impact research with global reach - Access to real network data and industrial scale problems - Influence on international standards and future technologies - Collaborate with world-class researchers across disciplines - A supportive, inclusive culture that values creativity and technical excellence - Strong benefits and clear growth paths Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: Japan (JP) || Yokohama Req ID: 785734

• Run primary research with the people who live inside Pennsylvania's rural health data system • Build persona profiles for each priority rural provider archetype • Map how clinical and claims data actually move across Health Information Organizations (HIOs), the providers they serve, the Managed Care Organizations (MCOs), and Commonwealth offices • Identify the breakpoints that matter most for patient care, public health, and Medicaid operations • Synthesize field findings into the As-Is picture and partner with the team to ground the target-state design in real user need rather than reference architecture • Co-author the discovery's research and strategy deliverables, including findings briefs, the target-state vision, and the sequenced recommendations that PA will use to direct federal Rural Health Transformation funding