Research Scientist in 3D Printing Process Simulation

Job Description

HP Labs’ 3D Lab (3DL) invents next generation 3D printing technology and novel materials, and creates their digital twins to enable digital manufacturing. A key technical foundation that delivers precision manufacturing at voxel level such as HP’s Multi Jet Fusion technology is fundamental process physics discovery and codify such physics knowledge in simulation software to empower both our customers and our internal R&D team. We are searching for an ambitious, talented research scientist to join in our journey to revolutionize digital manufacturing. As a core member of our research group, you will apply modeling and simulation/computational physics methods to analyze the physical processes in our 3D plastics and metal printing systems, and create simulation engine to predict the functional outcome for the manufactured parts (e.g., structural properties). You will work in close collaboration with an elite team of HP Labs researchers, business group’s R&D team, and our customers.

The promise of 3-D Printing (aka. Additive Manufacturing) anchors at the freedom of designing novel materials computationally and the ability to fabricate them with high fidelity. Computational physics and numerical simulation are at the core of this promise as it provides means to quantitatively predict and assess the physical process of manufacturing and the functional attributes of the part eventually fabricated. We are interested in a broad spectrum of numerical methods and computing techniques. We want you to be our core partner in building out capabilities of multi-scale simulations for multi-phase materials and simulation of multi-physics phenomena.

We’re seeking an individual with the following qualifications:
1) PhD from a reputable research group in the areas of applied physics, applied mathematics, mechanical engineering, chemical engineering, geo-science, computer science, or other relevant disciplines.
2) Ideally your PhD research includes writing your own solvers to solve partial differential equations.
3) Solid theoretical foundation in heat transfer, structural mechanics, fluid mechanics or other physics disciplines.
4) Solid understanding in the numerical discretization of partial differential equations (finite volume and finite elements).
5) Solid understanding of numerical linear algebra algorithms for solving large linear systems.
6) Solid programming skills in C++.
7) Parallel programming background is highly desired, in particular, CUDA programming experiences with GPU.
8) Willing to lead research; willing learn and teach.

General description:
you are expected to apply developed subject matter knowledge to solve common and complex business issues within established guidelines and recommends appropriate alternatives. Works on problems of diverse complexity and scope. May act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process. Exercises independent judgment within generally defined policies and practices to identify and select a solution. Ability to handle most unique situations. May seek advice in order to make decisions on complex business issues.

Responsibilities:
1) Participates as a member of team of other research engineers carrying out the investigation, design, development, execution, and implementation of scientific research projects to generate new products, technologies, and intellectual property.
2) Creates portions of research plans, investigative procedures, and collection and analysis guidelines for assigned investigation; collaborates with internal and external partners to perform experiments and validations in accordance with overall research plan.
3) Develops and carries out portions of protocols and processes for collecting, recording, and analyzing data; communicates results and conclusions to team members for review and feedback.
4) Prepares literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.

Knowledge and Skills:
1) Using scientific design and data collection methodologies, tools and analysis packages to collect, validate, and analyze research data.
2) Strong analytical and problem solving skills.
3) Application and implementation of experimental design, scientific procedures and processes, and data analysis.
4) Excellent written and verbal communication skills; mastery in English and local language.
5) Ability to effectively communicate research plans, proposals, and results, and negotiate options at management levels.

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