Research/PhD

Posted An Hour Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Entry level
Artificial Intelligence • Cloud • Information Technology • Consulting
The Role
Conduct emerging technical research, develop prototypes, algorithms, and models using methods such as deep learning and natural language processing. Analyze data, document methodologies and findings, collaborate with researchers, engineers, and product managers, and present technical insights. Research may support publications or intellectual property. The role is part of HPE’s graduate program and is intended for PhD students gaining hands-on professional experience.
Summary Generated by Built In
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. These internships are designed to provide hands-on experience in a professional setting, allowing PhD candidates to apply their advanced research, analytical, and problem-solving skills to real-world challenges. Interns may contribute to ongoing projects, conduct independent research, or support strategic initiatives aligned with their field of study.

Accessibility


HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.


Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:

Administration

Job Level:

N/A

    

    

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

Skills Required

  • Currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related quantitative discipline
  • Strong academic background and passion for research
  • Strong analytical and critical thinking skills
  • Proficiency in Python, R, or other relevant programming languages and tools
  • Experience with data analysis tools, methodologies, and statistical analysis software
  • Time management skills and ability to work with strict deadlines
  • Collaborative, solution-focused mindset and sense of urgency
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The Company
HQ: Houston, TX
85,422 Employees
Year Founded: 2015

What We Do

In 1939, Bill Hewlett and Dave Packard, college friends turned business partners, started the original Silicon Valley startup in the space of a rented Palo Alto garage. Starting with audio oscillators, the friends built the foundation for a company that would grow to become a global leader in enterprise technology. More than 75 years later, our success is exemplified through our employees’ drive to advance ideas that bring meaningful innovations to life for our customers and partners around the globe. We are guided by our mission to help customers use technology to turn ideas into value, and empower them to transform industries, markets and lives. We simplify Hybrid IT, power the Intelligent Edge and provide the expertise to make it all happen.

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