Engineering

The HubBucket Inc ("HubBucket") Engineering Research branches, divisions, and departments conducts Systems Engineering for Earth Sciences, Space Sciences, Space Exploration, Aerospace, Aviation, Renewable Energy, Sustainability, Fusion Research, Particle Physics, Automation, Robotics, Intelligent Systems, Telecommunications, Satellite Communications, etc.

This includes the design, development, and deployment of critical infrastructures, such as Earth Observation, Weather Monitoring, Climate Change Research and Monitoring, Early Warning Systems, Aerospace Systems Engineering, Aviation Systems Engineering, Renewable Energy, Sustainability, Fusion Research, Computer Science, Artificial Intelligence - AI, Machine Learning - ML, Deep Learning, Natural Language Processing - NLP, Natural Language Understanding - NLU, Natural Language Generation - NLG, Neural Machine Translation - NMT, Large Language Models - LLMs, Retrieval Augmented Generation - RAG, Computer Vision, Electrical Engineering, Mechanical Engineering, Machine Vision, Robotics, Robot Operating Systems - ROS, Automation, High Performance Computing - HPC, Data Engineering, Big Data Engineering, Data Platforms, Intelligent Data Platforms, Cloud Computing, i.e., Public Cloud, Private Cloud, Hybrid Cloud, Multi-Cloud, etc. We design and develop validated models and simulations to support strategic decisions under uncertainty, including selection of technologies and system evolutionary pathways.

The current global shortage of professionals with Science, Technology, Engineering, and Mathematics - STEM degrees, combined with the growing diversity of the United States' population, has provided incentive to U.S. businesses seeking STEM talent to pay close attention to gender, racial, and ethnic diversity, and embrace Diversity, Equity, and Inclusion - DEI at every level within their organization. As the world continues to move forward in the 21st Century, Diversity, Equity, and Inclusion - DEI within STEM fields will continue to play a major role in countries, organizations, institutions, agencies, and business, as they seek to gain competitive advantage.

What is a Research Engineer?

The field of Research Engineering can vary greatly depending on an individual's engineering specialty. However, they typically work within the Research and Development - R&D department of an organization, government agency or academic institution. Generally, Research Engineers develop products, processes or technology for their employer. To achieve this, they gather relevant information, data or samples, then analyze their research and perform tests to create optimal and innovative solutions.

Research Engineering Demands Innovation Across Disciplines

Research Engineering demands innovation across disciplines using a 21st Century design-centric approach. HubBucket employs, designs, and develops intelligent systems and automation and tools to achieve this goal. HubBucket employs novel applications of Artificial Intelligence - AI, Machine Learning - ML, Deep Learning, Natural Language Processing - NLP, Natural Language Understanding - NLU, Natural Language Generation - NLG, Neural Machine Translation - NMT, Large Language Models - LLMs, Retrieval Augmented Generation - RAG, Computer Vision, Machine Vision, Data Science, etc., to address each of our strategic research impacts.