Hewlett Packard Labs -- Research Engineer

Diegem, Flemish Brabant, Belgium

Hewlett Packard Enterprise

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Hewlett Packard Labs -- Research Engineer

  

This role has been designed as ‘Hybrid’ with an expectation 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:

   

The Large-Scale Integrated Photonics (LSIP) Lab at Hewlett Packard Labs has an immediate opening for a qualified research scientist (PhD student) to work towards a doctoral degree in algorithm-hardware codesign of emerging non von-Neumann computing devices. As the central (international) research organization for Hewlett Packard Enterprise (HPE), Hewlett Packard Labs' purpose is to deliver breakthrough technologies and technology advancements that provide a competitive advantage for the company, by investing in fundamental science and technology in areas of interest to HPE and preparing the resulting technologies for adoption into new and existing markets.

This role is also part of the MSCA doctoral network Postdigital Plus, which brings together internationally leading teams from academia, research centers, and leaders of industry, including HPE Belgium, IBM, Thales, and three well-regarded start-ups (NcodiN, Akhetronics and VLC Photonics), in the field of optical computing to train a cohort of 17 doctoral candidates in the interdisciplinary fields of emerging disruptive neuromorphic computational technologies and their applications.

This role will be supported by and collaborate with an international multi-disciplinary team of machine learning experts, experimentalists, fabrication experts, software developers, and computer scientists.

Qualifications and Education Requirements

  • Master’s degree in Physics, Photonics, Electrical Engineering, Applied Mathematics, Computer Science, or equivalent.

  • The ideal candidate is deeply interested and enthusiastic to perform research in the emerging field of optical and neuromorphic computing, specifically from the point of view of algorithm-hardware codesign.

  • Excellent academic record.

  • Team player, self-motivated and independent worker.

  • Strong English writing and verbal communication skills.

Preferred Skills

  • Proficiency in Python.

  • Expertise in one of the standard machine learning frameworks, such as PyTorch, JAX, or TensorFlow.

  • Broad knowledge of and practical experience with modern machine learning and optimization techniques.

  • Excellent analytical, numerical, and modeling skills.

  • Broad knowledge of photonics and general physics.

  • Familiarity with optical, (analog electronic) in-memory, and neuromorphic computing.

  • Prior expertise in algorithm-hardware codesign is a plus.

Additional Notes

MSCA requirements: Researchers are not eligible if they already have a PhD or have successfully defended their doctoral thesis. Candidates cannot have resided or carried out their main activity (e.g. work, studies) in Belgium for more than 12 months within the three years immediately preceding their employment start date. Candidates can be of any nationality but may need security clearance prior to commencing their position.

Additional Skills:

Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 more}

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.

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#Hplabs, #hybridcloud

Job:

Engineering

Job Level:

TCP_02

    

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Computer Science Data analysis Engineering JAX Machine Learning Mathematics PhD Physics Python PyTorch Research Scrum Security TensorFlow

Perks/benefits: Career development Health care Startup environment

Region: Europe
Country: Belgium

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