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first_imgIs this split and/or fully grant funded?No Job TypeFull-Time Open Date11/20/2020 Job TitleComputer Science, Assistant Professor in Machine Learning,Tenure Track Job CategoryUniversity Faculty FLSA StatusExempt Minimum Education and/or Work Experience The candidate will have a Ph.D. in Computer Science or closelyrelated field at the time of appointment with a strong backgroundin Artificial Intelligence/Machine Learning including all relevanttechnical areas: natural language processing, AI ethics/safety andapplications to problems in healthcare, medicine, business,sociology, or criminal justice. Candidates for the position mustclearly demonstrate the potential for excellence in research andteaching and have a record of (or potential for) distinguishedscholarship, grant-funded research, and student mentorship. Thecandidate should be willing to support the mission of LUC and thegoals of a Jesuit Catholic Education. Location CodeCOMPUTER SCIENCE (02132A) Open Until FilledYes Organizational LocationPROVOST The Department of Computer Science in the College of Arts andSciences at Loyola University Chicago ( LUC ) invites applicationsfor a full-time tenure-track position at the rank of AssistantProfessor for academic year 2021-22. The department seeksapplicants with expertise in Machine Learning. The successfulcandidate will be joining a department with 15 full-time facultymembers serving 420 undergraduate majors and minors, and 85 mastersstudents in the areas of computer science, cybersecurity,information technology, and software engineering.This search is part of a University-wide, multi-year hiringinitiative designed to hire outstanding researchers and teacherswho are reflective of our diverse student body and committed tointerdisciplinarity (i.e., working with colleagues across differentsubfields and disciplines) and the pursuit of external grants. Ofspecial interest are candidates who can further the University’sefforts to foster diversity, equity, and inclusion.The preferred candidate for this position will carry out teachingand research broadly concerned with the societal aspects of MachineLearning/Artificial Intelligence and in particular, the issues ofjustice, accountability, ethics, and safety in Machine Learningapplications in healthcare, medicine, business, sociology and otherareas. The successful candidate is expected to pursue a strongresearch program, including the pursuit of external grants. Working ConditionsNone Physical DemandsNone The candidate will have a Ph.D. in Computer Science or closelyrelated field at the time of appointment with a strong backgroundin Artificial Intelligence/Machine Learning including all relevanttechnical areas: natural language processing, AI ethics/safety andapplications to problems in healthcare, medicine, business,sociology, or criminal justice. Candidates for the position mustclearly demonstrate the potential for excellence in research andteaching and have a record of (or potential for) distinguishedscholarship, grant-funded research, and student mentorship. Thecandidate should be willing to support the mission of LUC and thegoals of a Jesuit Catholic Education. Department NameCOMPUTER SCIENCE Position Numbercenter_img Number of Vacancies Posting Details Special Instructions to Applicants Duties and Responsibilities Quick Link for Postinghttps://www.careers.luc.edu/postings/14523 Candidates should submit to www.careers.luc.edu (1) a brief letterof interest; (2) a current Curriculum Vitae; (3) a statementoutlining the applicant’s research agenda, (4) a statement onteaching experience; and (5) a statement addressing past and/orpotential contributions to mentoring a diverse student body throughresearch, teaching and other channels and engaging a diversecommunity through scholarship and service. They also should providethe names and email addresses of three individuals prepared tospeak to their professional qualifications for this position.Referees will not be contacted immediately but might be atsubsequent points in the review process. For further informationabout this position, please contact the Computer Science FacultySearch Committee at [email protected] or via regularmail:Chair of Search CommitteeDepartment of Computer Science1052 W. Loyola AveLoyola University ChicagoChicago, Illinois 60626Review of applications will begin on January 2, 2021 and continueuntil the position is filled.LUC is an Equal Opportunity/Affirmative Action employer with astrong commitment to hiring for our mission and diversifying ourfaculty. The University seeks to increase the diversity of itsprofessoriate, workforce and undergraduate and graduate studentpopulations because broad diversity – including a wide range ofindividuals who contribute to a robust academic environment – iscritical to achieving the University’s mission of excellence ineducation, research, educational access and services in anincreasingly diverse society. Therefore, in holistically accessingthe many qualifications of each applicant, we would factorfavorably an individual’s record of conduct that includesexperience with an array of diverse perspectives, as well as a widevariety of different educational, research or other workactivities. Among other qualifications, we would also factorfavorably experience overcoming or helping others overcome barriersto an academic career or degrees.As a Jesuit Catholic institution of higher education, we seekcandidates who will contribute to our strategic plan to deliver atransformative education in the Jesuit tradition. To learn moreabout LUC’s mission, candidates should consult our website atwww.luc.edu/mission. For information about the university’s focuson transformative education, they should consult our website atwww.luc.edu/transformativeed. Desired Start Date08/09/2021 Job Number85TBD CampusRogers Park-Lake Shore Campus Position TitleComputer Science, Assistant Professor in Machine Learning,Tenure Track Position Details Close Date Position End Date Qualifications Applicant DocumentsRequired DocumentsCover Letter/Letter of ApplicationCurriculum VitaeOther DocumentTeaching StatementResearch StatementOptional Documents Supplemental QuestionsRequired fields are indicated with an asterisk (*).last_img read more