This position will be responsible for working, as part of a diverse and skilled technical team, to write and test software in high-level languages, and to develop and test signal processing and machine learning algorithms from concept to implementation. The position will involve working with both hardware and software solutions to apply developed capabilities on various platforms. There will be a heavy emphasis upon machine learning research and development.

Minimum Qualifications
1. Familiarity with modern Integrated Development Environments (IDEs) and software compilers such as PyCharm, Visual Studio, Eclipse, or similar
2. (P1) Demonstrated academic experience developing software using Python, C, C++ and/or Java
3. (P2) Three years of demonstrated, successful professional experience developing software using Python, C, C++ and/or Java
4. Due to the nature of this position, U.S. Citizenship is required
5. Eligibility to obtain a United States SECRET clearance (or higher) is required for ongoing employment in this position

Preferred Qualifications
1. Bachelor’s Degree (or higher) in Electrical Engineering, Computer Engineering, Computer Science, Computational Neuroscience, or Theoretical Neuroscience
2. Demonstrated successful experience (academic or professional) developing software using Python, C, C++, and/or Java
3. Demonstrated, successful experience (academic or professional) programming in algorithm-level languages such as Python, Matlab, or similar
4. Familiarity with signal processing and control systems
5. Familiarity with statistical modeling, machine learning, and/or deep learning concepts
6. Demonstrated, effective interpersonal skills
7. Active US SECRET (or higher) clearance

Special Instructions to Applicants
To comply with federal rules, UD will require all employees including student employees to be fully vaccinated against COVID-19. The University will accept valid religious or medical exemptions and seek to reasonably accommodate them. Links to the most up-to-date COVID-19 health information, an easy-to-navigate index of the University's COVID-19 guidelines, and resources can be found at https://udayton.edu/coronavirus.

Informed by its Catholic and Marianist mission, the University is committed to the principles of diversity, equity, and inclusion. Informed by this commitment, we seek to increase diversity, achieve equitable outcomes, and model inclusion across our campus community. As an Affirmative Action and Equal Opportunity Employer, we will not discriminate against minorities, females, protected veterans, individuals with disabilities, or on the basis of sexual orientation or gender identity.