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Faculty Positions by Department

professorBelow you will find an automated list of available faculty positions by department. These availability for openings for faculty vary from time to time. Please be sure to check often as faculty positions are often posted here and are updated. For more information on University of Connecticut Faculty available positions, please visit the UConn Jobs website at: http://jobs.uconn.edu/



Faculty Position(s) Available in Engineering (please view the summaries below): 6

For more details about the faculty hiring initiative across the entire university, please visit Faculty Hiring


Position: Assistant or Associate Professor Biomedical Engineering, REPOST

Department: Biomedical Engineering

Search ID: 2017190

Position Summary:

The Department of Biomedical Engineering (BME) in the School of Engineering at the University of Connecticut (UConn) is undergoing significant growth over the next two years.  The BME Department has branches on the Storrs campus and the Health Science Campus (HSC) at Farmington, CT. To accommodate the new faculty members’ research initiatives, a new building at Storrs and two new floors of research space at UConn HSC have been completed in 2017.

The Department of BME at the University of Connecticut at Storrs invites applications for two tenure-track faculty positions at the Assistant or Associate Professor level, with an expected start date of August 23, 2018. The Department of BME (http://www.bme.uconn.edu) offers an ABET-accredited undergraduate major as well as masters and doctoral programs in biomedical engineering. The research specialties of particular interest in this search are: Big Data Engineering, Robotics, Rehabilitation Engineering, Neural Engineering, Biomedical Devices and/or Telemedicine, but strong candidates in other biomedical engineering disciplines are welcome to apply.  UConn and the Department of BME, in coordination with the Department of Kinesiology in the School of Health and Natural Resources, and the Department of Medicine at UConn Health Center, are committed to growth and research excellence in Rehabilitation Engineering.  Therefore, it is expected that a new faculty member in Rehabilitation Engineering will work closely with the Department of Kinesiology which is consistently ranked as one of the top three graduate programs in the country.  There will also be ample opportunity for research collaboration with the Division of Occupational and Environmental Medicine within the Department of Medicine at UConn Health Center.

The University of Connecticut is entering a transformational period of growth supported by the $1.7B Next Generation Connecticut (http://nextgenct.uconn.edu/) and the $1B Bioscience Connecticut (http://biosciencect.uchc.edu/) investments and a bold new Academic Plan: Path to Excellence (http://issuu.com/uconnprovost/docs/academic-plan-single-hi-optimized_1). As part of these initiatives, UConn has hired more than 450 new faculty at all ranks during the past three years. We are pleased to continue these investments by inviting applications for faculty positions in the Department of Biomedical Engineering. The Department of Biomedical Engineering has 42 faculty members, 435 undergraduate and 148 graduate students, and actively engages in research in medical imaging and cancer diagnostics, medical instruments including wearable devices, bioinformatics and regenerative engineering.  Other key strengths for the department include neural engineering, biomechanics and biomaterials.

The successful candidate will be expected to contribute to research and scholarship through extramural funding (in disciplines where applicable), high quality publications, impact as measured through citations, performances and exhibits (in disciplines where applicable), national recognition as through honorific awards. In the area of teaching, successful candidate will share a deep commitment to effective instruction at the undergraduate and graduate levels, development of innovative courses and mentoring of students in research, outreach and professional development. Successful candidates will also be expected to broaden participation among members of under-represented groups; demonstrate through their research, teaching, and/or public engagement the richness of diversity in the learning experience; integrate multicultural experiences into instructional methods and research tools; leadership in developing pedagogical techniques designed to meet the needs of diverse learning styles and intellectual interests.

MINIMUM QUALIFICATIONS

Earned Ph.D. in Biomedical Engineering or closely related field; a proven record of excellence in teaching; demonstrated potential in establishing a successful research and scholarship record, deep commitment to promoting diversity through their academic and research programs. Equivalent foreign degrees are acceptable.

PREFERRED QUALIFICATIONS

Expertise in Biomedical Engineering and outstanding record of research and scholarship excellence; commitment to effective teaching, integrating technology into instruction, on-line instruction; the ability to contribute through research and research, teaching, and/or public engagement to the diversity and excellence of the learning experience; experience as a post-doctoral or industry researcher in a research-competitive environment; exposure to developing research grant applications to federal funding agencies; interest in collaboration with industry.

APPOINTMENT TERMS

This is a full-time, 9-month, tenure track position with an anticipated start date of August 23, 2018.  The successful candidate’s primary academic appointment will be at the Storrs campus with the possibility of assignment at one of UConn’s regional campuses.  Rank and Salary will be commensurate with qualifications and experience.

TO APPLY

Select “Apply” to submit the following materials via Academic Jobs Online: a cover letter, curriculum vitae, teaching statement (including teaching philosophy, teaching experience, commitment to effective learning, concepts for new course development, etc.); research and scholarship statement (innovative concepts that will form the basis of academic career, experience in proposal development, mentorship of graduate students, etc.); commitment to diversity statement (including broadening participation, integrating multicultural experiences in instruction and research and pedagogical techniques to meet the needs of diverse learning styles, etc.); sample journal articles or books

Please choose one area of specialization from Biomedical and Health Big Data Analytics, Robotics and Rehabilitation, Neural engineering, and Biomedical Instrumentation/Devices/Telemedicine and indicate it in your cover letter.

Five letters of reference should be sent to: Faculty Search Committee, Search # 2017190, University of Connecticut Dept. of Biomedical Engineering, 260 Glenbrook Rd. Unit 3247, Storrs, CT 06269 or e-mailed to  birgit.sawstrom@uconn.edu  

Evaluation of applicants will begin immediately and continue until the position is filled.  Employment of the successful candidate is contingent upon a successful completion of a pre-employment criminal background check. (Search # 2017190)

Any questions should be sent to: kchon@engr.uconn.edu.

For more information regarding the Department of Biomedical Engineering please visit the department website at http://www.bme.uconn.edu/.

All employees are subject to adherence to the State Code of Ethics which may be found at http://www.ct.gov/ethics/site/default.asp.


The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity, and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations. 

 


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Position: Professor and Synchrony Financial Chair for Cybersecurity REPOSTED

Department: Computer Sci and Engineering

Search ID: 2017205

Position Summary:

The Computer Science & Engineering (CSE) Department at the University of Connecticut invites applications for a tenure-track faculty position at full professor level. The position has an expected start date of August 23, 2018. This position is in cybersecurity, with responsibilities to advance education and research in computer security and possibly drawing from closely related or emerging fields. In addition, the successful candidate is eligible for the Synchrony Financial Chair for Cybersecurity, an endowed chair in cybersecurity to advance education and research in cryptography, security engineering, security architecture, secure coding, network and cloud security, malware detection and other emerging security fields.

The University of Connecticut (UConn) is entering a transformational period of growth supported by the $1.7B Next Generation Connecticut (http://nextgenct.uconn.edu/), the $1B Bioscience Connecticut (http://biosciencect.uchc.edu/) investments, and a bold new Academic Plan: Path to Excellence (http://issuu.com/uconnprovost/docs/academic-plan-single-hi-optimized_1). As part of these initiatives, UConn has hired more than 450 new faculty members at all ranks during the past three years. We are pleased to continue these investments by inviting applications for a position in Cryptography, Computer Security and Security Engineering.

The Department of Computer Science & Engineering harbors a rich environment of instruction and research, offering three rigorous degrees (B.S., M.S., and Ph.D.) in the computing sciences and a world-class research enterprise. Additional information about the department can be found at http://www.cse.uconn.edu/  

The successful candidate will be expected to develop and sustain an internationally-recognized and externally-funded research program in the field of Cryptography, Computer Security, or Security Engineering. The position offers the successful candidate the Synchrony Financial Chair for Cybersecurity, an endowed chair in cybersecurity to advance education and research in cryptography, security engineering, security architecture, secure coding, network and cloud security, malware detection, and other emerging security fields.

The successful candidate must also share a deep commitment to effective instruction at the undergraduate and graduate levels, development of innovative courses and mentoring of students in research, outreach, and professional development. It is the expectation that the candidate will broaden participation among members of under-represented groups; demonstrate through their teaching, research, and/or public engagement the richness of diversity in the learning experience; integrate multicultural experiences into instructional methods and research tools; and provide leadership in developing pedagogical techniques designed to meet the needs of diverse learning styles and intellectual interests.

Minimum Qualifications

Candidates must have an earned Ph.D. in Computer Science, Computer Engineering or a related field by the time of appointment; an established record of research in computing sciences with a specialty in Cryptography, Computer Security, or Security Engineering; demonstrated potential for excellence in teaching; and a commitment to promoting diversity through their academic and research programs. Candidates must also have a demonstrated commitment to graduate education. Senior candidates must have an established record of leadership excellence.

Preferred Qualifications

Preferred candidates will possess an outstanding record of scholarship and research contributions in relevant cryptography or security domains; expertise in several areas of Computer Science or Computer Engineering; an established record of excellence in teaching; the ability to effectively communicate with students in both large and small audiences, and a record of public engagement.

Appointment Terms

This is a full-time, 9-month, annually renewable tenure track position.  Employment is conditional upon the timely completion of an approved I-9 (Employment Eligibility Verification Form). The candidate is expected to begin work on August 23, 2018. Salary and rank will be commensurate with qualifications.

To Apply

Select “Apply Now” to be redirected to Academic Jobs Online to complete your application. Please submit the following: a cover letter, curriculum vitae, research and scholarship statement; teaching statement (including teaching philosophy, teaching experience, commitment to effective learning, concepts for new course development, etc.); commitment to diversity statement (including broadening participation, integrating multicultural experiences in instruction and research and pedagogical techniques to meet the needs of diverse learning styles, etc.); and sample articles or books. Additionally, please follow the instructions in Academic Jobs Online to direct three reference writers (five for Senior candidates) to submit letters of reference on your behalf.

Screening of applicants will begin immediately and continue until the positions are filled. Employment of the successful candidates will be contingent upon the successful completion of a pre-employment criminal background check. (Search # 2017205)

All employees are subject to adherence to the State Code of Ethics which may be found at http://www.ct.gov/ethics/site/default.asp.


The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity, and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.


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Position: Assistant/Associate Professor (tenure track) REVISED

Department: Chem and Biomolecular Engr

Search ID: 2018050

Position Summary:

The Chemical & Biomolecular Engineering Department at the University of Connecticut invites applications to fill a tenure-track faculty position at the assistant or associate professor level, with an expected start date of August 23, 2018.

The University of Connecticut (UConn) is entering a transformational period of growth supported by the $1.7B Next Generation Connecticut (http://nextgenct.uconn.edu/) and the $1B Bioscience Connecticut (http://biosciencect.uchc.edu/) investments and a bold new Academic Plan: Path to Excellence (http://issuu.com/uconnprovost/docs/academic-plan-single-hi-optimized_1).  As part of these initiatives, UConn has hired more than 450 new faculty members at all ranks during the past three years.  We are pleased to continue these investments by inviting applications for one Assistant or Associate Professor position in the Chemical & Biomolecular Engineering Department.

The successful candidate will be expected to contribute to research and scholarship through extramural funding (in disciplines where applicable), high quality publications, impact as measured through citations, performances and exhibits (in disciplines where applicable), and national recognition as through honorific awards. In the area of teaching, the successful candidate will share a deep commitment to effective instruction at the undergraduate and graduate levels, development of innovative courses and mentoring of students in research, outreach and professional development. Successful candidates will also be expected to broaden participation among members of under-represented groups; demonstrate through their research, teaching, and/or public engagement the richness of diversity in the learning experience; integrate multicultural experiences into instructional methods and research tools; and provide leadership in developing pedagogical techniques designed to meet the needs of diverse learning styles and intellectual interests.

The research specialty of primary interest is in the area of energy broadly interpreted, with research interests including, but not limited to: advanced energy materials, processes, and systems; combustion science & technology; energy storage and power management; fuels and fuel processing; renewable energy & resources; or bioenergy/biofuels.  Other topics in the broad area of energy are also welcome.

DUTIES AND RESPONSIBILITIES

  • Teach undergraduate and graduate core curriculum courses and specialty courses in the Chemical & Biomolecular Engineering Department. 
  • Develop and sustain an externally funded research program in the field of Chemical Engineering, including specialty subfields of interest to the Chemical & Biomolecular Engineering Faculty. These include but are not limited to: biomolecular engineering, advanced manufacturing, materials, energy, fluids, heat/mass transfer, reaction engineering, environmental engineering, nanotechnology, electrochemical engineering, and applied computation in chemical engineering. 
  • Develop a national and international presence and reputation for excellence in research in Chemical Engineering and the specialty subfield(s) of interest as listed above. 
  • Advise and mentor undergraduate and graduate students. 
  • Provide service and leadership to all units of the University of Connecticut, to external academic and scientific communities, and to the general public.

MINIMUM QUALIFICATIONS

  1. Completion of all requirements for a Ph.D. in Chemical Engineering or a closely related field by the time of the appointment.  Equivalent foreign degrees are acceptable.
  2. Research credentials in Chemical Engineering, with a research specialty subfield(s) of interest to the Chemical & Biomolecular Engineering Faculty and that complements existing faculty expertise. 
  3. A background that provides preparation for teaching excellence in undergraduate and graduate courses in the Chemical & Biomolecular Engineering Department.
  4. Excellent oral and written communication skills.
  5. Strong interpersonal skills.
  6. Demonstrated success in research, including having significant publications in peer reviewed journals.
  7. Experience with oral presentations at national or international scientific meetings. 

PREFERRED QUALIFICATIONS

  1. Research credentials in Chemical Engineering, with a focus on energy, including but not limited to electrochemistry, bioenergy, catalysis, modeling, materials, transport, or advanced manufacturing, that complements existing faculty expertise.
  2. Experience as a post-doctoral or industry researcher in a research-competitive environment.
  3. Senior candidates should have experience developing research grant applications to US federal funding agencies.
  4. Potential for collaboration with industry.

APPOINTMENT TERMS

This is a 9-month tenure-track position with an expected start date of August 23, 2018.  The successful candidate's primary academic appointment will be at the Storrs campus with the possibility of work at UConn's regional campuses across the state.  Salary and rank will be commensurate with qualifications.

TO APPLY

Please submit your curriculum vitae, a five to ten page research plan, a two to three page teaching plan, and the names and contact information of four referencesInterested candidates may apply online, by selecting “Apply Now” at http://www.jobs.uconn.edu, Faculty Positions, School of Engineering.  The requested submission format is a single PDF file in the order listed. Review of applications will start immediately and will continue until the position is filled.  Please reference search #2018050 in your application submission. Employment of the successful candidate will be contingent upon the successful completion of a pre-employment criminal background check.  (Search # 2018050)

All employees are subject to adherence to the State Code of Ethics which may be found at http://www.ct.gov/ethics/site/default.asp.


The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity, and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.

 


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Position: Assistant/Associate Professor, UTC-IASE

Department: UTC Inst Advanced Systems Engr

Search ID: 2018156

Position Summary:

The United Technologies Corporation Institute for Advanced Systems Engineering (IASE) at the University of Connecticut (UConn) solicits applications for a full-time tenure-track faculty position at the rank of Assistant or Associate Professor in Mechanical Engineering to conduct research, education and outreach related to systems engineering.

DUTIES AND RESPONSIBILITIES

  • Develop, sustain, and grow a research program of excellence in theoretical and/or computational research in Mechanical Engineering, with an interest in building strong ties to the Institute for Advanced Systems Engineering. Manufacturing/Robotic/Cyber-Physical Systems as well as Systems Design are of particular interest, although other applications relevant to the Mechanical Engineering Department will also be considered. The research program is based on a deep collaboration between industry and the UTC Institute for Advanced Systems Engineering.
  • Develop and teach undergraduate and graduate courses that meet the curricular needs of IASE with particular emphasis on enhancing UTC-IASE’s systems engineering curriculum. Advise and mentor undergraduate and graduate students with particular emphasis in the area of cyber-physical systems and systems engineering.
  • Provide service and leadership to all units of the University of Connecticut, to external academic and scientific communities, and to the general public.

About the University of Connecticut

The University of Connecticut (UConn) is entering a transformational period of growth supported by the $1.7B Next Generation Connecticut (http://nextgenct.uconn.edu/) and the $B Bioscience Connecticut (http://biosciencect.uchc.edu/) investments and a bold new Academic Plan: Path to Excellence (http://issuu.com/uconnprovost/docs/academic-plan-singl-hi-optimized_1).  As part of these initiatives, UConn has hired more than 450 new faculty at all ranks during the past three years.  We are pleased to continue these investments by inviting applications for tenured/tenure-track faculty appointments in the UTC-IASE at the rank of Assistant or Associate Professor.  Key developments driving this growth also include the establishment in 2013 of a General Electric Partnership for Advanced Materials, Pratt & Whitney Additive Manufacturing Innovation Center, Fraunhofer Center for Energy Innovation, FEI Center of Excellence in Microscopy, Eversource Center for Energy Resiliency, and the UTC Institute for Advanced Systems Engineering. 

The successful candidate will be expected to contribute to research and scholarship through extramural funding, high quality publications, impact as measured through citations, and national recognition as through honorific awards. In the area of teaching, the successful candidate will share a deep commitment to effective instruction at the undergraduate and graduate levels, development of innovative courses and mentoring of students in research, outreach and professional development.  The successful candidate will also be expected to broaden participation among members of under-represented groups; demonstrate through their research, teaching, and/or public engagement the richness of diversity in the learning experience; integrate multicultural experiences into instructional methods and research tools; and provide leadership in developing pedagogical techniques designed to meet the needs of diverse learning styles and intellectual interests.

About the UTC Institute for Advanced Systems Engineering

There is a significant national need to expand capabilities in analytical systems engineering deemed pivotal to successful product development, namely a) requirements analysis, b) architecture selection, c) model-based development, and d) system design flows.  In recognition of this need, UConn, in partnership with UTC, has established the Institute for Advanced Systems Engineering, which serves as a hub for applied and theoretical research, workforce development, and industrial outreach activities on analytical systems engineering of complex physical and software intensive systems.  The Institute's goal is to become a premier academic resource for advanced research, development and technology transfer, teaching and workforce development in distributed, heterogeneous, adaptive and intelligent systems.  The Institute seeks to advance the science base of systems including design, validation, verification, modeling and methodologies, and accelerate its technological translation into sustained industrial support and growth.

The Institute is established with significant investments from the United Technologies Corporation as well as the University of Connecticut. The resources available to the center include two endowed positions, four endowed graduate fellowships, five new faculty positions, and a current team of more than 20 outstanding faculty members with research interests in Systems Engineering across the School of Engineering.

MINIMUM QUALIFICATIONS

  1. Completion of all requirements for a Ph.D. in Mechanical Engineering, Systems Engineering or related discipline by the time of the appointment. Equivalent foreign degrees are acceptable.
  2. Strong background and research interests in at least one of the areas identified above.
  3. A record of, or demonstrated potential in, scholarship and establishing a successful, externally funded research program.
  4. A proven record of, or commitment to, excellence in teaching, and dedication to promoting diversity through teaching, service and/or research.

PREFERRED QUALIFICATIONS

  1. Research and teaching expertise in areas that complement existing strengths of the UTC-IASE.
  2. Demonstrated outstanding scholarly contributions in research.
  3. Passion for engineering education.
  4. Experience in developing research grant applications to funding agencies.
  5. Experience in conducting research in a competitive interdisciplinary research environment.
  6. Demonstrated ability to contribute through research, teaching and/or public engagement to the diversity and excellence of the learning experience.

APPOINTMENT TERMS

This is a 9-month tenure-track position with an earliest expected start date of August 23, 2018.  The successful candidate’s primary appointment will be with the Mechanical Engineering department at UConn’s main campus in Storrs, CT.  Faculty may also be asked to teach at one of UConn’s regional campuses as part of their ordinary workload.  Rank and salary will be commensurate with qualifications and experience.

TO APPLY

Select "Apply Now" to be redirected to Academic Jobs Online to complete your application. Application packages should include a cover letter; curriculum vitae; teaching statement (including teaching philosophy, teaching experience, commitment to effective learning, concepts for new course development, etc.); research and scholarship statement (innovative concepts that will form the basis of academic career, experience in proposal development, mentorship of graduate students, etc.); a commitment to diversity statement (including broadening participation, integrating multicultural experiences in instruction and research, and pedagogical techniques to  meet the needs of diverse learning styles, etc.), and the names and contact information of five professional references.

Evaluation of applications will begin immediately continue until the position is filled.  Employment of the successful candidate will be contingent upon the successful completion of a pre-employment criminal background check. (Search #2018156).

All employees are subject to adherence to the State Code of Ethics which may be found at http://www.ct.gov/ethics/site/default.asp.


The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity, and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.

 

 


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Position: Assistant Professor (Tenure track)

Department: Computer Sci and Engineering

Search ID: 2018165

Position Summary:

The Computer Science & Engineering (CSE) Department at the University of Connecticut invites applications for a tenure track faculty position at the assistant professor level. The position is expected to start on August 23, 2018. The department is looking for a Computer Scientist specializing in Machine Learning or Data Mining with applications in manufacturing. 

The University of Connecticut (UConn) is entering a transformational period of growth supported by the $1.7B Next Generation Connecticut (http://nextgenct.uconn.edu/ ), the $1B Bioscience Connecticut (http://biosciencect.uchc.edu/ ) investments, and a bold new Academic Plan: Path to Excellence (http://issuu.com/uconnprovost/docs/academic-plan-single-hi-optimized_1 ).  As part of these initiatives, UConn has hired more than 450 new faculty members at all ranks during the past five years.  We are pleased to continue these investments by inviting applications for a new position in Machine Learning or Data Mining. The Department of Computer Science & Engineering harbors a rich environment of instruction and research, offering three rigorous degrees (B.S., M.S., and Ph.D.) in the computing sciences and a world-class research enterprise. Additional information about the department can be found at http://www.cse.uconn.edu/ .

DUTIES AND RESPONSIBILITIES

Successful candidates will be expected to develop and sustain an internationally-recognized and externally-funded research program in Computer Science with specialization in the fields of Machine Learning or Data Mining, with particular interest in research with applications to manufacturing.  Successful candidates must share a deep commitment to effective instruction in Computer Science at the undergraduate and graduate levels as well as development of innovative courses and mentoring of students in research, outreach, and professional development.  Successful candidates are also expected to broaden participation among members of under-represented groups; demonstrate through their teaching, research, and/or public engagement the richness of diversity in the learning experience; and provide leadership in developing pedagogical techniques designed to meet the needs of diverse learning styles and intellectual interests.

MINIMUM QUALIFICATIONS

Candidates must have an earned Ph.D. in Computer Science or a related field by the time of appointment; an established record of research in computing sciences with a specialty in Machine Learning or Data Mining with particular interest in applications in manufacturing; demonstrated potential for excellence in teaching; and a commitment to promoting diversity through their academic and research programs. Candidates must also demonstrate a commitment to graduate education.

PREFERRED QUALIFICATIONS

Preferred candidates will possess an outstanding record of scholarship and research contributions in Computer Science, and have accomplishments showing relevance of their research to manufacturing applications; a record of excellence in teaching; the ability to effectively communicate with students in both large and small audiences, and a record of public engagement.

APPOINTMENT TERMS

This is a full-time, 9-month tenure track position.  Employment is conditional upon the timely completion of an approved I-9 (Employment Eligibility Verification Form). Candidates are expected to begin work on August 23, 2018. Salary will be commensurate with qualifications.

TO APPLY

Select “Apply Now” to be redirected to Academic Jobs Online to complete your application. Please submit the following: a cover letter, curriculum vitae, research and scholarship statement; teaching statement (including teaching philosophy, teaching experience, commitment to effective learning, concepts for new course development, etc.); commitment to diversity statement (including broadening participation, integrating multicultural experiences in instruction and research and pedagogical techniques to meet the needs of diverse learning styles, etc.); and sample articles or books.  Additionally, please follow the instructions in Academic Jobs Online to direct three reference writers to submit three professional letters of reference on your behalf.  Screening of applicants will begin immediately and continue until the position is filled. Employment of the successful candidates will be contingent upon the successful completion of a pre-employment criminal background check. (Search # 2017165)

All employees are subject to adherence to the State Code of Ethics which may be found at http://www.ct.gov/ethics/site/default.asp .


The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity, and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.

 


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Position: Assistant/Associate Professor in-Residence, Computer Science & Engineering

Department: Computer Sci and Engineering

Search ID: 2018313

Position Summary:

The Department of Computer Science & Engineering at the University of Connecticut invites applications for a non-tenure track position at the rank of Assistant or Associate Professor-in-Residence. The successful candidate will primarily contribute to the department’s teaching program, but is encouraged to pursue his or her research interests and collaborate within the department.

The University of Connecticut (UConn) is entering a transformational period of growth supported by the $1.7B Next Generation Connecticut (http://nextgenct.uconn.edu/) and the $1B Bioscience Connecticut (http://biosciencect.uchc.edu/) investments and a bold new Academic Plan: Path to Excellence (http://issuu.com/uconnprovost/docs/academic-plan-single-hi-optimized_1).  As part of these initiatives, UConn has hired more than 450 new faculty members at all ranks during the past three years.  We are pleased to continue these investments by inviting applications for an in-Residence faculty position in the Computer Science & Engineering department at the rank of Assistant or Associate Professor.

The Department of Computer Science and Engineering harbors a rich environment of instruction and research, offering three rigorous degrees in the computing sciences and a world-class research enterprise. Additional information about the Department can be found at http://www.cse.uconn.edu/.

In the area of teaching, the successful candidate will share a deep commitment to effective instruction at the undergraduate and graduate levels, development of innovative courses, and mentoring of students in research, outreach and professional development.  The successful candidate will also be expected to broaden participation among members of under-represented groups; demonstrate through their teaching, research, and/or public engagement the richness of diversity in the learning experience; integrate multicultural experiences into instructional methods and research tools; and provide leadership in developing pedagogical techniques designed to meet the needs of diverse learning styles and intellectual interests.

MINIMUM QUALIFICATIONS   

Earned Ph.D. in computing sciences or related field by the time of appointment; Candidates at the Assistant level must have a proven record of potential in teaching; candidates at the Associate level must have a proven record of excellence in teaching computer science. Candidates at either level must have a deep commitment to promoting diversity through their academic and research programs. 

PREFERRED QUALIFICATIONS 

Expertise in several areas of computer science and outstanding record of teaching and scholarship; commitment to effective teaching and use of innovative techniques; the ability to effectively communicate with students in both large and small audiences; the ability to contribute through research, teaching, and/or public engagement to the diversity and excellence of the learning experience.

APPOINTMENT TERMS

This is a full-time, 9-month, annually renewable non-tenure track position. This position has the possibility of subsequent annual academic-year reappointment, contingent on positive reviews and program funding and may lead to a multi-year appointment.  Employment is conditional upon the timely completion of an approved I-9 (Employment Eligibility Verification Form). Candidates must be able to begin work on August 23, 2018 for Fall semester start.  The successful candidate’s primary academic appointment will be at the Storrs campus with the possibility of work at UConn’s regional campuses across the state.  Rank and salary will be commensurate with qualifications and experience.

TO APPLY

Select “Apply” to be directed to Academic Jobs Online to complete your application. Please submit the following: a cover letter, curriculum vitae, teaching statement (including teaching philosophy, teaching experience, commitment to effective learning, concepts for new course development, etc.) research and scholarship statement (innovative concepts that will form the basis of academic career, experience in proposal development, mentorship of students, etc.); commitment to diversity statement (including broadening participation, integrating multicultural experiences in instruction and research and pedagogical techniques to meet the needs of diverse learning styles, etc.); sample articles or books.  Additionally, please follow the instructions in Academic Jobs Online to direct three reference writers to submit letters of reference on your behalf.  Screening of applicants will begin immediately and continue until the positions are filled. Employment of the successful candidates will be contingent upon the successful completion of a pre-employment criminal background check. (Search # 2018313)

All employees are subject to adherence to the State Code of Ethics which may be found at http://www.ct.gov/ethics/site/default.asp.


The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity, and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.

 


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