Timashev Assistant/Associate/Full Professor in Programming Languages & Software Engineering

Timashev Assistant/Associate/Full Professor in Programming Languages & Software Engineering (PLSE) areas

The Ohio State University

Columbus, OH

Position Overview

This prestigious endowed position will be affiliated with the Center for Software Innovation (CSI) at The Ohio State University. This center, established by a generous $110M gift from the Timashev Family Foundation, is positioning The Ohio State University and the state of Ohio to be the epicenter for growth in the digital innovation ecosystem. It seeks to equip innovators with the skills, tools, and resources to build the digital economy and enable student education and access to the principles and practices of software innovation.

We seek candidates with expertise in the broad areas of software engineering, programming languages, compilers, and formal methods. The successful candidate will be able to leverage and complement existing PLSE expertise in the CSE Department, which conducts cutting-edge research on core PLSE topics together with multidisciplinary impact on systems, high-performance computing (HPC), privacy, security, and correctness. This expertise is provided by multiple faculty whose research is supported by NSF programs such as CAREER, SHF, CSR, PPoSS, CSSI, and SaTC. CSE’s PLSE faculty consistently serve on the committees of major PLSE conferences and journals. Several PLSE faculty members in the department collaborate with industry and government, including startups and large technology-intensive companies.

The successful candidate will be positioned to harness the Department’s world-class expertise in two of its core and traditional strengths, i.e., Systems and Artificial Intelligence, anchored by two NSF-funded AI institutes (ICICLE - Intelligent Cyberinfrastructure with Computational Learning in the Environment and AI-EDGE) and an NSF-funded Imageomics Institute, alongside other major research centers (such as the Institute for Cybersecurity and Digital Trust) with substantial funding. This rich ecosystem offers unparalleled opportunities for collaboration, innovation, translation, and leadership in cutting-edge research in large-scale software underpinned by AI, PL, and SE innovations. The candidate will have access to the Ohio Supercomputer Center’s advanced HPC and data infrastructure resources - an invaluable asset for future research at the intersection of PLSE, AI, and Systems. This position is also aligned with the University’s AI Fluency initiative, whereby each student will be fluent in AI as it applies to their field (https://oaa.osu.edu/ai-fluency) and with the AI(X) Hub initiative aiming at harnessing the transformative power of AI to solve complex challenges, accelerate discovery, and create meaningful societal impact (https://aihub.osu.edu).

Faculty members affiliated with CSI are expected to participate in a variety of scholarly activities that contribute to the CSI mission's overall success, including:

• Teaching and developing CSI-affiliated curriculum, including introductory programming languages, software design, engineering and development, capstone or project courses, and freshman experience courses that help students innovate and align with industry.
• Establishing and maintaining partnerships with industry, individuals, and focus groups to understand the skillset students need for a successful career in their field.
• Supporting the digital innovation ecosystem through engagement with local industry and startups.

Performance Objectives

Assistant Professor Appointment

• Demonstrated excellence in verbal and written communication
• A record of high-quality research and development in the computing field
• Excellence in teaching, both in the classroom and in student advising
• Excellence in scholarship, associated primarily with research and development that enhances the state-of-the-art in computing
• Leadership in service, both to the profession and to the university
• Contributions to broadening participation in the field of computing
• An attitude conducive of good citizenship, including a commitment to interact with others in a professional, ethical, and constructive fashion
• Strong potential to achieve tenure and advance through the tenure-track faculty ranks

Associate/Full Professor Appointment

• Sustained achievement of a strong record in teaching, both in the classroom and in student advising
• Sustained achievement of a strong record in scholarship, associated primarily with research that enhances the state-of-the-art in computing
• Sustained achievement of a strong record of service, both to the profession and to the university
• A total body of high-quality work and recognition as a leader in the field that leads to national or international distinction

Education and Experience Requirements

Required:

• A Ph.D. in computer science, computer engineering, or a closely related field. A Ph.D. must be completed by the time of appointment.
• Expertise in software engineering, programming languages, compilers, formal methods, or closely related areas.
• Record of high-quality research in the Programming Languages & Software Engineering areas commensurate with appointment level.
• For associate/full professor levels: In addition to the above, record of sustained funding; honors for research achievements; service on editorial boards, conference committees, and policy-making panels and boards; and experience teaching and mentoring at the graduate and undergraduate levels.

Desired:

• Experience with and/or interest in the intersection of AI and software engineering or programming languages, including but not limited to automated code generation, intelligent debugging and de-obfuscation, AI-assisted code transformations, neural program synthesis, probabilistic programming, and AI-driven software testing development and testing.
• Experience with developing new courses and degree programs.
• A commitment to interdisciplinary education and collaborative research.
• Clear plans to create, implement, and oversee engagement with industry or government partners.
• Demonstrated experience with industry engagement, industry-sponsored research, or technology commercialization, commensurate with appointment level. For the assistant professor level, this may include industry internships or employment, industry-sponsored or collaborative research projects, consulting, patents, or other direct engagement with industry partners during graduate training or prior employment.
• For associate/full professor levels:
• A sustained and demonstrable record of industry collaboration and/or commercialization activity, such as established industry-sponsored research programs, technology transfer or licensing agreements, patents, startup founding or advising, or significant consulting or partnership engagements with industry, and external fundraising.
• A familiarity working with campus administrators and leaders.

To apply, please visit https://apply.interfolio.com/193971

The university is an equal opportunity employer, including veterans and disability.