Apply for Vacancy for Post-Doctoral Associate at University of Missouri in the USA. The deadline for this job is 30th September 2021.

About :

The Missouri Institute for Defense and Energy (MIDE) at the University of Missouri-Kansas City, is a fast-growing research institute founded to solve real-world problems by synthesizing physics and engineering principals with a pragmatic, results-driven and collaborative philosophy.

Job Summary:

The Missouri institute for Defense & Energy is seeking to hire a Post-Doctoral Associate who is a subject matter expert in machine learning with specific focus in data science development of AI/ML systems, models, and infrastructure to augment the quantitative performance, accuracy, and effectiveness of the systems being developed within the Institute’s programs.

The ideal team member:

• You have a passion for solving high-impact, real-world problems;
• Also, have hands-on, pragmatic problem-solving approach for mission-critical applied research;
• You possess the ability to operate in agile and dynamic working environments as a core team player and independent individual;
• Likewise, you are creative and versatile in designing, simulation, and analyzing pulse power solutions for complex electrical and computational problems;
• Furthermore, demonstrates creative and critical thinking with an innate drive to improve how things work
• You have a high tolerance for ambiguity. You connect-synthesize-execute.
• Similarly, effective verbal and written communication skills to inform and guide team-members; and,
• Also, excellent and efficient organizational/time-management skills to prioritize and execute on both long-term and short parallel assignments.

Duties

• Work with MIDE program directors, project leads, and technical experts to employ robust embedded ML solutions for ongoing and future projects.
• Also, construct proposals and technical content towards generating new revenue streams leveraging AI/ML pertinent to the focus areas of the Institute.
• Additionally, automate generating engineered key performance metrics out of massive and complex datasets using programs such as Druid, Spark MLib, Kafka.
• Mentor students/faculty/staff on technical area as appropriate.
• Likewise, leverage MIE Support Services Resources such as Business Development, Logistics, IS/IT.
• Furthermore, holistically uphold MIDE’s mission, vision, and values.

Expectations:

• Desire to change the landscape of integrated solutions which leverage ML/AI software-based solutions within the academic setting as part of the Institute;
• Also, deep-rooted passion about improving research capabilities by keeping abreast on the latest algorithms within AI/ML;
• Enhance the new School of STEM through faculty/group collaborations;
• Additionally, accumulate increased knowledge on ecosystem technologies towards refining ML/AI skillset as the premier expert within the Institute;
• Produce academic journal articles on research efforts as first author, or contributing author, based on the collaborative work performed;
• Likewise, demonstrate creative and critical thinking with an innate drive to improve how things work beyond ML;
• Develop relationships with the IS/IT personnel and university’s HPC resources available through SCE and UM System; and
• Additionally, help other MIDE leads within your expertise area when/where possible.

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