Professor of Practice
The Department of Computer Science at the University of Houston (www.cs.uh.edu) invites applications for a full-time ConocoPhillips Professor of Practice in Data Science. The hired faculty member will support the Department of Computer Science in the expansion of undergraduate and graduate level coursework in Data Science in coordination with the Hewlett Packard Enterprise (HPE) Data Science Institute.
The Department of Computer Science at the University of Houston is a vibrant unit with a growing stature offering undergraduate (B.S.) and graduate degrees (M.S. and Ph.D.) in Computer Science. The department has 26 tenured and tenure-track faculty members, 7 instructional faculty members, 2 research faculty, 5 joint faculty, and over 1400 students across its degree programs. The department is committed to offering a stimulating program with a strong emphasis on high quality, state of the art education and research in the highly diverse and cosmopolitan environment that the University of Houston and the city of Houston provide.
The University of Houston’s Hewlett Packard Enterprise Data Science Institute, in collaboration with departments and colleges, leads research, education, and service activities in the broad area of data science and scientific computing and their applications. This includes application areas that are important to the Houston economy: energy and health. The HPE DSI will build collaborative programs with public and private sector partners to advance data science and scientific computing in the metro area and beyond. The HPE DSI leads the University’s educational focus on educating the data science workforce to gain expertise to function in a data-rich environment through degree programs, non-degree certificate programs, and hands-on experiences.
The University of Houston is a Carnegie-designated Tier One research institution and is the flagship campus of a state-assisted system. As the fourth largest city in the U.S. and the most ethnically diverse city in the country, Houston is a vibrant city to live and work. It has multi-national industries, commercial centers, the largest medical center in the world, a robust arts community, professional sports, an entrepreneurial approach to new technologies, and is considered the world capital for petroleum exploration and energy. The Chronicle of Higher Education has named the University of Houston as one of the best places to work.
The University of Houston is an ADVANCE institution, one of a select group of universities to receive NSF funds in support of our commitment to increase diversity and the participation and advancement of women in STEM. We are seeking outstanding candidates with the potential for excellence in teaching and research, and a clear commitment to enhancing the diversity of the faculty, graduate, and undergraduate student population.
The University of Houston is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply.
We seek outstanding candidates who hold an advanced degree in Computer Science, Computer Engineering, Statistics, or a closely related field. The ideal candidate has a proven teaching record along with significant industrial experience. The selected candidate is expected to introduce innovation in lecture and laboratory instruction.
Qualified and experienced candidates from industry are encouraged to apply. Competitive compensation package, commensurate with qualifications and experience, will be offered.
This is a non-tenure-track position.
Candidate screening will begin immediately and to ensure full consideration applications must be received by December 31, 2020.
Applications including a resume or CV, a candidate statement, and names of 3 references should be submitted electronically. The candidate statement should describe relevant research and/or commercial projects, teaching and/or mentoring, and any ideas for lecture and laboratory instruction.
Application can be found at: https://uhs.taleo.net/careersection/ex2_uhf/jobdetail.ftl?job=FAC001135