Research/PhD

Research/PhD This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: Job Family Definition: College/University Graduate hires (within 12 months of graduation per the company's definition) undergoing a specific training and development path within the EMEA Graduate Program. Management Level Definition: Responsibilities: Investigate and explore emerging research areas, translating conceptual ideas into working prototypes or proofs of concept. Assist in the design and implementation of research methodologies, data collection, and analysis. Develop and implement algorithms and models: Apply techniques in areas like deep learning, natural language processing, and advanced analytics to develop innovative solutions. Partner with researchers, engineers, and product managers to align research initiatives with product vision. Clearly present research progress, findings, and technical insights to various stakeholders. Maintain detailed records of research procedures, methodologies, and outcomes, and prepare reports and presentations summarizing findings. Depending on the project, research results may lead to external publications or intellectual property. Education & Experience: Currently pursuing a PhD program in a relevant field such as Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related quantitative discipline. Knowledge & Skills: Strong academic background with a passion for research and a desire to contribute to the advancement of knowledge. Excellent analytical and critical thinking skills with a problem-solving mindset. Proficiency in relevant programming languages and tools, such as Python, R, or other specialized software and equipment as applicable to the field. Experience with data analysis tools and methodologies, including statistical analysis software. Time management skills and working with strict deadlines. A collaborative, solution focused mindset and overall sense of urgency. Impact/Scope: University students enrolled in a PhD program who are engaged in a technical or non-technical internship role at the company during their academic studies or during summer breaks between university semesters.