Job Description
Description:Job SummaryDigital Enterprise Center (School of Engineering Technology) Post-Doctoral Research Assistant PositionThis position will extend previous work in the areas of software development, product and process modeling, and materials development to support data interoperability and persistence in a manufacturing environment. For the last 10 years, Drs. Hartman and Sangid have been developing a methodology and a toolset to support the manufacturing sector’s transition away from technical drawings towards the use of the model-based definition methodology in the design and production of products. Following is a citation for one of the more recent developments with this model framework: Gopalakrishnan, S., Hartman, N.W. and Sangid, M.D., 2020. Model-based feature information network (MFIN): A digital twin framework to integrate location-specific material behavior within component design, manufacturing, and performance analysis. Integrating Materials and Manufacturing Innovation, 9, pp.394-409. One of the goals of this work is to develop additional functionality within the existing code base to support the integration of specifications, materials and process definitions, and contextual data from product production and product use in specific phases of the lifecycle. A second goal of this work is to package the code base into a more formalized software tool.
Responsibilities + Skills
Education
Applications are encouraged from a variety of fields, including technology, engineering, computer science, information technology, or a closely related field. Applicants must have earned a doctorate in a relevant technical field (e.g., technology, engineering, computer science, or IT) with a demonstrated interest in research, technology development and implementation, manufacturing enterprises, or the effects of digitalization on work. Applicants must have completed all the requirements for the doctorate no later than August 2024, or have received their degree within the last three years. Industrial manufacturing experience is highly valued. Specific technology expertise should include as many of the following as possible:
Experience