Computer Science Employment

The Department of Computer Science at the University of Virginia School of Engineering and Applied Science seeks applications for the following positions.


  • Faculty Positions


    Open Rank Tenure/Tenure Track Faculty in Business Data Science at Scale

    The Data Science Institute, School of Engineering and Applied Science, Darden School of Business, and McIntire School of Commerce at the University of Virginia (UVA) seek to hire multiple tenured and tenure track faculty who can excel in research and teaching in one or more of the following areas: 

    - Large Scale Algorithms with a focus on areas such as analytics and machine learning for large-scale unstructured data, social and digital media, and computational management science, with applications to extracting actionable insights in cutting-edge business applications. 
    - Business Data Science Applications with a focus on areas such as developing novel thought-leadership at the intersection of machine learning, information systems, economics, marketing, finance, public policy, and social computing. 
    - Business Data Science Fundamentals with a methodological focus in areas such as advancing the state of the art in machine learning, data mining, data visualization, natural language processing, statistics, operations research, and computer vision algorithms on massive datasets that are fundamental to business analytics. 
    - Psychometric and Behavior Modeling for Digital Commerce with an emphasis on novel predictive or descriptive analytics methods, measurement techniques, and insights at the intersection of psychology, cognitive science, information systems, machine learning, and big-data analytics. 

    Duties include research, teaching, mentoring and advising students, and service to the department, school and university. The new faculty may conduct research and teach courses throughout the curricula in Computer Science, Systems and Information Engineering, Darden, and McIntire. Rank is dependent upon qualifications. Appointments may be made in Engineering, Darden, or McIntire, with potential for affiliations with the Data Science Institute. Joint appointments between the schools and departments are also possible.

    To apply visit: http://jobs.virginia.edu/applicants/Central?quickFind=85899 (position # 0624368)

    Open Rank Tenure/Tenure Track Faculty in Cyber Physical Systems

    The School of Engineering and Applied Science at the University of Virginia seeks innovative and collaborative applicants to join its world class center of research excellence in Cyber-Physical Systems (CPS). Qualified faculty will join the Link Lab, where over 30 faculty from multiple departments and schools collaborate on cross-cutting research. This multi-million dollar initiative is dedicated to solving the most critical problems facing society by transcending traditional disciplinary boundaries. Application areas of interest include but are not limited to autonomous systems and robotics, smart and connected health, and smart and connected cities and rural communities.

    An open rank, tenured, or tenure-track faculty position with joint appointments is available across multiple departments, including:

    • Computer Science
    • Electrical and Computer Engineering
    • Engineering Systems and Environment
    • Mechanical and Aerospace Engineering

    A broad range of CPS research areas will be considered, including, but not limited to:

    • Human-centered design for CPS; human-automation interaction
    • Sensor design, including RF sensing, novel sensing devices, and application thereof
    • RF and mixed-signal circuits as applied to CPS
    • Machine learning and/or signal processing as applied to CPS
    • Embedded and real-time systems as applied to CPS
    • Communications, networking, and management to support the Internet of Things (IoT)
    • Formal and model-based reasoning through all levels of CPS design and operation
    • Secure, safe, and resilient CPS

    Successful candidates will be expected to engage in funded research, teach at the undergraduate and graduate levels, and perform service for the institution and professional organizations. Rank, tenure-status, and compensation are contingent upon experience. A PhD in computer science or engineering is required by the start date of appointment. A commitment to teaching and advising excellence and evidence of an explicit commitment to diversity and of advancing understanding and outcomes for underrepresented groups are essential. Candidates must have a record of excellence in research, as appropriate for the candidate's rank, with a preference for transdisciplinary research experience. Appointment with tenure requires documented excellence in research and teaching, and an emerging national reputation. Preference will be given to candidates whose research would complement or expand the School's current strengths (http://engineering.virginia.edu/research). Applicants with a respect for diversity and a passion for making a positive impact on the world in a collaborative environment are strongly encouraged to apply. To apply visit: http://jobs.virginia.edu/applicants/Central?quickFind=85932 (position #0624397)

     

    Open Rank Tenure/Tenure Track Faculty in Cyber Security

    The School of Engineering and Applied Science (SEAS) at the University of Virginia (UVA) seeks highly-qualified applicants for multiple open-rank tenured and tenure-track faculty appointments in fields related to Cyber Security. This search is part of a university-wide Cyber Security initiative that will promote collaborative activity across SEAS and UVA. Candidates may have an opportunity for appointments in multiple departments and schools and may seek an affiliated position in UVA's Data Science Institute.

    All relevant areas of research will be considered, including, but not limited to: 
    Cyber Resilience: Systems modeling and analytical tools to support design of systems that would be resilient to cyber attack. 
    Behavioral Security: Predictive and analytical behavior modeling, sociotechnical security, social and cognitive psychology approaches, building organizational resilience. 
    Foundations: Theory of security and privacy, models of trust and risk, secure communication and computation, cryptography, threat modeling, anonymity-based models, and knowledge-hiding models. 

    Machine Learning in Cyber Security: deep learning for network intrusion detection systems, cyber threat hunting at global scale through analysis. Policy and Analysis: Cyber deterrence and response, cyber defense policy, public/private security partnerships, cyber regulatory frameworks, ethical issues, and data science. Privacy: Data and computation privacy, anonymization techniques for users and their data, and private information retrieval. Secure Systems: Secure O/S, databases, networks, cloud systems, hardware, embedded systems, and mobile devices/apps, CPS/IoT systems. Security and Privacy Applications: Forensics, malware and vulnerability analysis, human-centric security, electronic commerce. 

    To apply visit: http://jobs.virginia.edu/applicants/Central?quickFind=86210 (Position #0624620)

    Open Rank Tenure/Tenure Track Faculty in Modeling and Simulation at the Human Technology Frontier

    The School of Engineering and Applied Science at the University of Virginia seeks applicants for an open rank tenure-track/tenured faculty position in the area of modeling and simulation at the human-technology frontier. We are seeking candidates who are committed to fundamental research enabling intelligent systems such as virtual humans and robots to seamlessly interact with humans. Interdisciplinary researchers across schools and institutes at UVA are creating translational human-in-the-loop technologies such as data-driven modeling of human behavior, immersive interactive teaching simulations, simulation-based training for medical professionals, game-based learning to improve cultural competence, and intelligent cognitive assistants for mental health. 

    We seek a leader in the engineering and technological aspects who will collaborate with colleagues across UVA on the design, development, implementation, and evaluation of next-generation human-in-the-loop modeling and simulation technologies. The ideal candidate will provide intellectual leadership in one or more of the technological areas necessary for creating simulation-based training environments, including computational modeling of human behavior, natural language processing, affective computing, social robotics, embodied conversational agents, and/or virtual/augmented/mixed reality. 

    The faculty member will have the opportunity to hold an appointment in the Link Lab, UVA's world-class center of excellence in Cyber-Physical Systems (CPS). This initiative includes over two dozen faculty drawn from multiple departments and builds on UVA's strengths and pioneering work in areas such as smart cities, smart health, and autonomous systems. Additionally, UVA offers extensive opportunities for collaborative research with the Curry School of Education, the Data Science Institute, the Center for Global Health, the Behavior Research at Darden Lab, the Translational Health Research Institute of Virginia (THRIV), the Center for Engineering and Medicine, the Center for Diabetes Technology, and the Environmental Resilience Institute.

    To apply visit: http://jobs.virginia.edu/applicants/Central?quickFind=85937

    Open Rank Tenure/Tenure Track Faculty in Systems Computer Science

    The Department of Computer Science at the University of Virginia seeks candidates for a tenured or tenure-track position with an emphasis on applicants having established and exceptional research records in Systems. Areas of interest include, but are not limited to, networks, compilers, operating systems, database systems, embedded systems, and programming languages. Candidates will be expected to pursue high-impact scholarship, teach, and perform service for the University and professional organizations. Successful candidates will find a stimulating and nurturing academic environment where innovative, interdisciplinary, and foundational research is conducted in a collegial atmosphere. Rank is dependent upon qualifications.
    A doctorate in an applicable field is required by the start date of the appointment. A commitment to graduate mentoring, teaching excellence, and diversity is essential. For a tenure-track appointment, the applicant must have the potential to develop a high-impact research program. For an appointment with tenure, the applicant must have some teaching experience and have an established and exceptional reputation for conducting world-class research.
    To apply, visit https://jobs.virginia.edu/applicants/Central?quickFind=85664. Complete a Candidate Profile online, attach a cover letter, CV, teaching statement, research statement, 2 research papers that best represent the candidate's work (as Other 1 and 2), and the names and contact information for 3 references.
    The review of applications will begin on November 15th, 2018 and the position remains open until filled.
    For questions about these positions, please contact Professor Sebastian Elbaum, Search Chair, at selbaum@virginia.edu. For questions about the application process, please contact Savanna Galambos, Faculty Search Advisor, at skh7b@virginia.edu.

     

    Open Rank Tenure/Tenure Track Faculty in Human Machine Interaction Computer Science

    The Department of Computer Science at the University of Virginia seeks candidates for a tenured or tenure-track position with an emphasis on applicants having established and exceptional research records in Human Machine Interaction. Areas of interest include, but are not limited to, human computer interaction, human robot interactions, human factors, computer-supported cooperative work, and ubiquitous computing. Applicants whose research connects to cyber-physical systems and security are particularly welcome. Candidates will be expected to pursue high-impact scholarship, teach, and perform service for the University and professional organizations. Successful candidates will find a stimulating and nurturing academic environment where innovative, interdisciplinary, and foundational research is conducted in a collegial atmosphere. Rank is dependent upon qualifications.
    A doctorate in an applicable field is required by the start date of the appointment. A commitment to graduate mentoring, teaching excellence, and diversity is essential. For a tenure-track appointment, the applicant must have the potential to develop a high-impact research program. For an appointment with tenure, the applicant must have some teaching experience and have an established and exceptional reputation for conducting world-class research.
    To apply, visit https://jobs.virginia.edu/applicants/Central?quickFind=85665. Complete a Candidate Profile online, attach a cover letter, CV, teaching statement, research statement, 2 research papers that best represent the candidate's work (as Other 1 and 2), and the names and contact information for 3 references.
    The review of applications will begin on November 15th, 2018 and the position remains open until filled.
    For questions about these positions, please contact Professor Sebastian Elbaum, Search Chair, at selbaum@virginia.edu. For questions about the application process, please contact Savanna Galambos, Faculty Search Advisor, at skh7b@virginia.edu.

    General Faculty, Computer Science (Lecturer, Assistant, Associate, or Professor)

    The Department of Computer Science at the University of Virginia seeks applications for multiple teaching-track faculty, known as Academic General Faculty to begin in August 2019. Candidates can apply for these long-term positions at one of three professorial ranks or at one of three lecturer ranks. We seek applicants who share our interest and enthusiasm for excellence in computing science education to join our department of 51 faculty, including 16 teaching faculty. 

    The department is committed to creating and benefiting from an environment where a diverse group of capable, inspired individuals interact and collaborate to learn and advance knowledge without barriers. 

    Candidates for a General Faculty position at the rank of Assistant, Associate or full Professor must have a PhD or equivalent experience in computer science or a related discipline. They must have an interest in and ability to teach a broad set of courses in our undergraduate curriculum. Course load will be two to three sections per semester consisting of a mix of upper- and lower-division courses. Graduate-level teaching will possibly be included. Faculty in professorial positions will have service responsibilities, and scholarship in computing or in CS education is expected for promotion. The department strongly values scholarship activities by General Faculty that have potential to advance computing education. 

    Candidates for a General Faculty position at the Lecturer, Senior Lecturer or Distinguished Lecturer rank must have a Master's degree or equivalent experience in computer science or a related discipline. Lecturers will usually teach two to three sections of core undergraduate courses but will also have the opportunity to teach more specialized upper-level courses. Lecturers may have fewer expectations for service activity, and will not be required to pursue scholarship. 

    These positions will have renewable three-year contracts. University policies insure that these positions benefit from opportunities for professional development. While these are not traditional tenure-track positions, there is a well-defined promotion path for these positions and documented criteria for job security. General Faculty receive departmental support for their teaching and scholarship activities. 

    To apply, visit: https://jobs.virginia.edu and search on Posting Number 0624367. Complete a Candidate Profile online, and attach the following: a CV; a statement of teaching philosophy; contact information for 3 references; and, a cover letter that communicates why our teaching faculty position is a good match for your interests and career goals and why you are a good match for these education-focused positions.


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