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Job Description Summary

Auburn University’s National Center for Additive Manufacturing Excellence (NCAME) and the Department of Mechanical Engineering invite applications for an Assistant Research Professor. This position is a 12-month non-tenure track faculty assignment within the Auburn University research faculty family. This position will be responsible for conducting research and execute tasks specified in NCAME active projects. These include—but are not limited to—designing of experiments, microstructural/mechanical characterizations, and analysis, performing numerical simulations, advising undergraduate and graduate students, and writing reports, scholarly papers, and proposals. The selected individual will have a one-year written employment contract, which may be renewed for future years based on need, availability of funding, and performance. The total term of employment will not exceed the period of available funding from contract and grant, generated income, or other designated funds.

The National Center for Additive Manufacturing Excellence (NCAME) at Auburn University (AU), which was

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Research Opportunities

Electrical engineering

Work description

The work aims to apply coherent optical systems in submarine communication cables, leveraging phase and polarization information from transmitted signals for distributed sensing purposes. The goal is to use these techniques for the detection and monitoring of geophysical phenomena, taking advantage of the existing optical cable infrastructure as a large-scale sensor network.

Academic Qualifications

Degree in Electrical Engineering, Physics or Physical Engineering and attending a master’s degree in the same area.

Minimum profile required

Knowledge in electromagnetic waves and communications.

Preference factors

Experience in RF electronics and optical communications

Maintenance stipend: € 651.12, according to the table of monthly maintenance stipend for FCT grants , paid via bank transfer. Grant holders may be awarded potential supplements, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up

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Research Opportunities

Artificial Intelligence; Multi-Agent Systems

Work description

The training area of the scholarship is Artificial Intelligence, with a focus on the study of approaches that facilitate the integration of tools typically used in industry, such as simulation, planning and/or optimisation tools and models, with new approaches to industrial AI, namely those based on agents and Multi-Agent Systems.

The main objective is to contribute to the creation of interfaces that allow natural interaction with these types of systems, and their use by agents in the form of tools. Specifically, the main activities to be carried out by the grant holder are:

To analyse the state of the art of current approaches to the development and integration of tools with agents. To contribute to the development of interfaces that allow agents to interact naturally with information systems and typical tools in the industrial area,

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