Job Information
University at Albany Assistant or Associate Professor of Informatics & Data Analytics in Albany, New York
Location: Albany, NY Category: Faculty Posted On: Wed Sep 11 2024 Job Description:
The Department of Information Sciences and Technology (IST), College of Emergency Preparedness, Homeland Security and Cybersecurity (CEHC) at the University at Albany is seeking applicants for a faculty position in the growing field of Data Analytics. Candidates should be able to take an integrative approach in working with faculty, staff, and students from a variety of backgrounds within and outside the college. The Informatics Program invites applications for a tenure-track Assistant or Associate Professor Rank in Informatics with a specialization in Data Analytics. The ideal candidate will contribute to our robust and dynamic Data Analytics curriculum, integrating cutting-edge research and practical applications into their teaching. This role is pivotal in fostering the next generation of data scientists.
CEHC has a goal of creating a dedicated team of educators and researchers capable of enabling our students to successfully explore and interpret the rich array of disciplines and perspectives contained within Informatics. The IST department within CEHC is committed to increasing diversity in the related fields that have traditionally been underrepresented by minority and women's participation. The successful candidate will join a department with a strong commitment to diversity and inclusive excellence and will be expected to contribute actively to these efforts. The Assistant or Associate Professor will play an integral part in developing and offering classes that foster a sense of welcoming to traditional, diverse, and non-traditional students. There are opportunities for collaboration across departments, particularly through our interdisciplinary Information Science doctoral program. Partner departments include Business, Art & Art History, Computer Science, Engineering, Public Health, Public Administration, and Communication.
At the graduate level, we offer a Master of Science in Information Science (M.S.I.S.) and a Master of Science in Information Science, School Library (M.S.I.S.S.L.), accredited by the American Library Association (ALA). The College also offers a Doctor of Philosophy (Ph.D.) in Information Science, and a Certificate of Advanced Study in Library and Information Science. A combined B.A./M.S.I.S. or B.S./M.S.I.S. permits highly qualified students to begin work on the master's degree while still an undergraduate. The Department of Information Sciences and Technology offers programs that specifically explore the creation, dissemination, presentation, and use of data.
Reporting to the Chair of the Department of Information Sciences and Technology (IST), the successful candidate is an integral part of the Department's instructional team. Assistant and Associate Professors deliver undergraduate and graduate-level instruction, conduct research, and partake in advisement responsibilities. Each semester, the tenure-track and tenured faculty generally teach two courses. While we welcome candidates from a range of specializations and methodologies, we especially encourage candidates whose scholarly work critically engages with diverse ways of understanding issues in technology and society. This could include scholarship in topics such as, theoretical or applied data analytics; algorithm development and solving concrete problems for science, industry, and society within various application areas, such as health, bioinformatics, library science, information retrieval and web data mining; fairness and data ethics; societal impact of data; data engineering; and natural language processing. The successful candidate will also be expected to participate in College and Department activities, serve on committees, attend faculty meetings and retreats, participate in end-of session activities along with graduation and other meetings that arise, in addition to developing curriculum.
The College:
The mission of the College of Emergency Preparedness, Homeland Security, and Cybersecurity (CEHC) and its constituent departments is to make a difference in the world by providing high-quality academic programs, blending an interdisciplinary and entrepreneurial spirit, fostering enthusiasm for learning and teaching, promoting operational application of knowledge, and leading cutting-edge research initiatives that bring together people, technology, and knowledge to address the challenges of the 21st century. As the first college of its kind in the nation, CEHC is growing rapidly as it has recently established both undergraduate and graduate academic programs in Cybersecurity, Emergency Management, and Homeland Security, in addition to the already established Information Science and Informatics programs. One of the hallmarks of the College and its departments is the crosscutting nature of the education and research efforts across these fields. UAlbany and the State of New York are committed to seeing the College become a global leader in education and research in these fields and are providing significant support to the establishment and planned growth of the unit. CEHC is a participating iSchool.
Like the University, the College and the departments are committed to increased diversity in all its activities. Faculty and students are encouraged to engage with relevant communities in research and teaching, and the Department has a strong record of such engagement both locally and abroad. We wish to hire a colleague whose scholarship and teaching fosters transformation toward a more just society and involves meaningful partnership with community-based organizations. We value diverse lived experiences that inform research, teaching, and mentoring.
Job Requirements:
Minimum Qualifications:
A PhD from a college or university accredited by a U.S. Department of Education or internationally recognized accrediting organization by 10/6/2025. Candidates who will not hold the degree by this date will not be considered.
Applicants must demonstrate an ability to develop inclusive and equitable relationships within our diverse campus community.
Applicants must demonstrate an ability to support diversity, equity, access, inclusion, and belonging, relative to their role.
Applicants for Associate Professor must demonstrate their experience teaching undergraduate and/or graduate courses in informatics with a focus on data analytics, in varying modalities (in-person, online, and/or hybrid) and address their plan to contribute to the Informatics curriculum.
Applicants for Assistant Professor must demonstrate their experience or potential in teaching undergraduate and/or graduate courses in informatics with a focus on data analytics, in varying modalities (in-person, online, and/or hybrid) and address their plan to contribute to the Informatics curriculum.
Applicants for Associate Professor must demonstrate a record of published scholarship on topics in the field of data analytics, data visualization and big data technologies, requisite for an appointment as Associate Professor in the field of Informatics.
Applicants for Assistant Professor must provide evidence of data analytics, data visualization and big data technologies in their existing research program.
Applicants for Associate Professor must have experience in applying for and obtaining external funding for their research.
Applicants for Assistant Professor must have a demonstrated potential for obtaining external funding for their research.
Demonstrated proficiency in data analytics, data visualization and HCI, big data technologies and cloud platforms, with troubleshooting and data tooling skills (data analysis, big data, building analytical models, visualizations).
Demonstrated proficiency in the theoretical foundations of data analytics, as well as familiarity with the latest advances in these fields and a variety of data analytics techniques.
Proficiency in programming languages (e.g., Python, R).
Applicants must demonstrate an ability to develop inclusive and equitable relationships within our diverse campus community
Applicants must demonstrate an ability to support diversity, equity, access, inclusion, and belonging relative to their role
Preferred Qualifications:
Experience collaborating with industry partners on real-world projects.
Provide evidence of practical applications of Data Analytics and Artificial Intelligence (AI).
Demonstrated ability to teach and develop classes in AI, data analytics, and related subfields
Interest /prior research in the intersection of informatics, data analytics and AI/ML.
Experience in developing or managing an academic program or collaboration effort.
Additional Information:
Professional Rank and Salary Range: Assistant or Associate Professor, Salary commensurate with experience
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