Researcher/scientist IV, Electrical And Computer Engineering

Researcher/Scientist IV, Electrical and Computer Engineering

The Department of Electrical and Computer Engineering is seeking a qualified candidate to fill a position as a Research Scientist in Software Engineering which will focus on Microservices Architecture and Cloud-Native Systems, offering an exciting opportunity for a dedicated researcher to contribute to cutting-edge studies in the field.

The successful candidate will collaborate with Dr. Tomas Cerny, on high-impact research, developing innovative solutions and methodologies for the evolving landscape of microservices and cloud-native systems.

This role involves conducting in-depth research, methodology design, deriving valuable insights, and contributing to academic advancement in the realm of software engineering. Additionally, the position allows for active involvement in teaching-related activities, providing the opportunity to share knowledge and expertise with undergraduate and graduate students.

This is a year-to-year appointment, contingent upon funding and performance.

Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to U of A recreation and cultural activities; and more!

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Duties & Responsibilities

Research Excellence:

• Conduct original research in the field of microservice architecture and cloud-native systems.
• Develop and publish high-impact studies in reputable academic journals and conferences.
• Design strategic program to work with doctoral students on team research and continue their mentoring and peer review.

Teaching Contributions:

• Engage in teaching-related activities if needed, including teaching courses or mentoring students in their academic and research pursuits.

Innovative Methodologies:

• Propose and implement innovative methodologies and solutions to address challenges in microservices and cloud-native systems.

Grant Writing:

• Contribute and lead the development of research proposals and grant applications to secure funding for ongoing and future research endeavors.
• Engage in Scrum development process for grants.

Collaboration and Networking:

• Participate in academic conferences, workshops, and seminars to foster networking and collaboration opportunities.
• Engage in peer review and grant panels across various agencies to engage with grant funding opportunities.
• Use university tooling to engage in efficient communication with peers.
• Stay compliant with university regulations and trainings.
• Provide monthly feedback to supervisor. Foster leadership skill when engaging peers in collaboration.

Knowledge, Skills and Abilities:

• Teaching and mentoring skills.
• Excellent programming skills and proficiency in relevant technologies.
• Effective communication and interpersonal skills.
• Proven leadership skills.

This job posting reflects the general nature and level of work expected of the selected candidate(s). It is not intended to be an exhaustive list of all duties and responsibilities. The institution reserves the right to amend or update this description as organizational priorities and institutional needs evolve.

Minimum Qualifications

• PhD in Computer Science, Software Engineering, or a closely related discipline. Must have PhD conferred upon hire.
• Eight (8) years of relevant work experience, or equivalent combination of education and work experience.

Preferred Qualifications

• Microservice composition and clustering expertise.
• Strong research background with a focus on microservices architecture and cloud-native systems.
• Strong research profile with citations, active contribution and publishing.
• Industrial experience.
• Demonstrated experience in publishing research papers in reputable conferences and journals, including writing and verbal communication.
• Experience in Microservice System Development.

The Rate of Pay represents the University of Arizona's good faith and reasonable estimate of the range of possible compensation at the time of posting. The University considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate's work experience, education/training, key skills, and internal equity. The Grade Range represents a full range of career compensation growth over time. The university offers compensation growth opportunities within its career architecture.

Contact Information for Candidates

Dr. Tomas Cerny | tcerny@arizona.edu

Please include your CV and a research statement. A list of three professional references with email, and phone contact information will be requested during the interview process.