Senior Academic Advisor
We are seeking an enthusiastic individual to provide high quality service to undergraduate Biomedical Engineering students through advising, leading orientation and informational sessions, keeping student records, tracking progress towards degree completion, and academic administrative support. This position will collaborate with other staff and participate in Cockrell School student programs and initiatives.
Responsibilities
- Student Advising – Academic degree advising of Biomedical Engineering undergraduates individually or in a group environment. Includes the development of advising materials, monitoring four-year degree progress, and assisting with coordinating peer advisor training and oversight. Administration and oversight of department-level undergraduate research awards, scholarships, and cash prizes including coordination of the nomination and selection process. Assists students individually with academic concerns, questions, registration issues, and connects students to available University resources. Manages the weekly undergraduate newsletter. (40%)
- Support Undergraduate Academic Programs – In conjunction with the Advising Coordinator, coordinate the Belong mentoring program and First-Year Interest Groups. (20%)
- Student Event Support – Assist Advising Coordinator with projects and special programs including but not limited to New Student Orientation, Gone to Engineering, Commencement, bi-annual Poster Symposiums and their related activities. Act in a leadership or support role (as assigned) to carry out programs/activities/events. (15%)
- Data Requests and Analysis - Provide statistics for standard reports and ad hoc information requests for program analysis. Monitor graduation rates and timelines and provide department leadership with student program data when needed. (10%)
- Engage with Campus Advising Community – Attend meetings, trainings, and talks related to UT, advising, and department/majors: College Advising Meetings, Academic Counselors Association meetings, and College professional development activities. Serve on committees or advisory boards as needed. (10%)
- Faculty Support – Assist faculty members with various academic and administrative concerns and questions including but not limited to grade changes, student issues, allegations of scholastic dishonesty, scholarship nominations, etc. (5%)
- Other related functions as assigned.
Required Qualifications
- Bachelor's degree plus six years of experience working with students in an academic counseling capacity; or master’s degree plus four years of experience.
- Strong organizational skills and attention to detail. Ability to work independently or as a member of a team.
- Ability to interact in a professional manner with staff, students, and the public. Excellent verbal and written communication skills. Independent decision-making and problem-solving ability.
- Tact, diplomacy, discretion, and judgment in dealing with students, faculty, and administrators.
- Professional appearance and demeanor. Demonstrated experience with Microsoft Office. Knowledge of UT academic policies and procedures.
Equivalent combination of relevant education and experience may be substituted as appropriate.
Preferred Qualifications
- Prior experience working in an undergraduate program, graduate program, or both. More than six years of above experience.
- Experience supervising and/or training student employees.
- Experience showing a high degree of initiative and good judgment. Exceptional organizational and time management skills.
- Proficiency with UT course management and student information systems, including Advisor’s Toolkit, EASI, GSIS, NRRECS, Class Manager, CIM, CIS Request System, FaSET, and the Grade Reporting system.
Salary Range: $48,000+ depending on qualifications
Assistant, Associate, Full Professor (Tenure-Track/Tenured) in Applications of AI/ML in Life Sciences and Engineering
We invite applications for faculty positions of all ranks (tenure-track assistant, tenured associate and full professors) as part of a cluster hire in Applied AI and Data Sciences for applications in the Life Sciences and Engineering. This cluster hire is part of The University of Texas at Austin’s Cluster Hiring Program in AI and Data Analytics (AI DA). Outstanding candidates who either (i) develop new tools for AI and machine learning, or (ii) have innovative, data-driven applications for these tools will be considered. We are particularly interested in recruiting investigators working in the areas of explainable/interpretable AI and scientific machine learning. Research topics can include (but are not limited to) protein and therapeutics design, multimodal medical imaging, digital twins for medical applications, other data-driven approaches in medicine or life sciences and engineering.
It is broadly expected that successful candidates will likely be placed in the departments of Molecular Biosciences, Chemistry, Biomedical Engineering or Chemical Engineering within the College of Natural Sciences or the Cockrell School of Engineering. Faculty will collaborate with numerous researchers involved in UT-Austin's Machine Learning Lab, Institute for the Foundations of Machine Learning (IFML), Oden Institute for Computational and Engineering Sciences, and the Good Systems initiative as well as the newly launched Center for Generative AI and its associated GPU cluster consisting of 600 GH200 nodes.
Qualifications
All candidates must hold a Ph.D. or equivalent degree in Chemistry, Molecular Biology, Biomedical Engineering, Chemical Engineering, Computational Engineering, or a related area at the time of employment. Successful candidates will be expected to create undergraduate and graduate learning environments that address the needs of students from a variety of backgrounds, with differing learning approaches and abilities, develop an externally sponsored research program, mentor graduate students, collaborate with other faculty, and be involved in service to the university and the profession. Candidates are encouraged to specify a home department preference when responding to the link below, and to check the relevant department specific faculty postings.
Application Instructions
All faculty positions require a cover letter, current curriculum vita, research statement, teaching and mentoring statement and PDF copies of a maximum of two peer-reviewed, published manuscripts. For all positions, three reference letters are required. Review of applications will begin on January 15, 2025, with a priority application deadline of January 31, 2025. Applications received after the deadline are not guaranteed full consideration.
Submit your application online via Interfolio.com.
Postdoctoral Researcher Openings
For information on postdoctoral researcher positions, reach out to individual faculty members or visit their lab websites.
Equal Employment Opportunity Statement
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
