Research/PhD
Hewlett Packard Enterprise
Bengaluru, Karnataka, IndiaFresher1h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Data structures & algorithmsDeep learningNLPProduct managementStakeholder managementPython
- Work
- On-site in Bengaluru
- Pay
- Not stated by the employer.
- Skill demand
- Deep learning13%Data structures & algorithms9%Product management8%NLP6%of 99 similar fresher jobs posted in India this week
- Listed
- 30 Oct 2026 · still open
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About the Role
- This role is designated as 'Hybrid', requiring an average of 2 days per week in an HPE office.
- This position is for College/University Graduate hires within the EMEA Graduate Program, undergoing specific training and development.
Key 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.
- Research results may lead to external publications or intellectual property.
Requirements & Tech Stack
- 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.
Qualifications
- Currently pursuing a PhD program in a relevant field such as Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related quantitative discipline.
- 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.
- 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 engaged in a technical or non-technical internship role during their academic studies or summer breaks.
- Internships provide hands-on experience in a professional setting, allowing PhD candidates to apply advanced research, analytical, and problem-solving skills to real-world challenges.
- Interns may contribute to ongoing projects, conduct independent research, or support strategic initiatives.