Tenure-Track position in the area of Ecology and Environmental Science and Artificial Intelligence
University of Alberta
Tenure-track position in the area of Ecology and Environmental Science and Artificial Intelligence (AI) or Machine Learning (ML)
University of Alberta
The Department of Biological Sciences at the University of Alberta invites applications for a tenure-track position in the area of Ecology and Environmental Sciences and Artificial Intelligence (AI) and Machine Learning (ML). We are primarily seeking an emerging scholar to hire at the Assistant Professor level.
The successful candidates must hold a Ph.D. degree in Biology (or related area, including Computer Science), whose primary focus is in the application and development of AI/ML in spatial ecology, microbial contributions to climate change and ecological genomics. They will be expected to build a strong, independent, externally funded research program, supervise graduate students, and teach graduate and undergraduate courses. Strong potential for productive interactions with other researchers across the diverse research areas of the Department and in other disciplines at the University of Alberta will be considered an asset. The successful candidate must have demonstrated research potential strong enough for a promising nomination for a Canada CIFAR Artificial Intelligence (CCAI) Chair as evidenced by publications in top venues that make fundamental advances in AI/ML or fundamental advances in how AI/ML is applied within ecology and environmental science.
The successful candidate will be nominated for a Canada CIFAR Artificial Intelligence (CCAI) Chair by the http://www.amii.ca/ which includes research funding for at least five years. This position is part of a University of Alberta cluster hire in the intersection of Machine Learning and other areas, including areas of research strength that include Science, Health, Energy, and Indigenous Initiatives in health and humanities, among others. The successful candidate will also become an Amii Fellow, joining a collegial institute of world-class Artificial Intelligence and Machine Learning researchers, have access to Amii internal funding resources, administrative support, and a highly collaborative environment.
The Department of Biological Sciences (https://uofa.ualberta.ca/biological-sciences) includes more than 50 faculty members and 225 graduate students researching diverse taxa at multiple levels of biological organization. Approximately 3,200 undergraduate students take courses offered by Biological Sciences each year. The Department offers three undergraduate programs: Ecology, Evolution, and Environmental Biology; Integrative Physiology; and Molecular, Cellular and Developmental Biology, as well as an Honors in Immunology and Infection program. The University of Alberta offers a rich environment for interdisciplinary research collaborations and exceptional infrastructure including core facilities for aquatics, microscopy, proteomics, metabolomics, biogeochemistry, and genomics. The University of Alberta is located in Edmonton, a vibrant and diverse metropolitan city of about one million people and the provincial capital of Alberta that is located on Treaty 6 territory and Metis Nation of Alberta Region 4.
Amii is one of three institutes named in the Pan-Canadian AI Strategy and consists of more than 35 artificial intelligence and machine learning researchers at the U of A, as well as CCAI Chairs at post- secondary institutions across Western Canada. The University of Alberta is world-renowned for its strength in AI and ML, which the University has identified as one of three priority areas of global research prominence (https://www.ualberta.ca/en/strategic-plan/index.html). The AI cohort that includes this position will bring together and foster the next generation of scientists leading the development of machine learning for societal benefit, fulfilling Amii’s mandate of AI for good and for all.
The University of Alberta is committed to Equity, Diversity and Inclusivity (https://www.ualberta.ca/en/access-community-belonging/strategic-plan-for-edi/index.html) and to reconciliation (https://www.ualberta.ca/en/indigenous/strategic-plan/index.html). The Biological Sciences Department is committed to advancing equity, diversity and inclusion. We welcome applications from all qualified persons, including those with non-traditional career paths. Applicants are also encouraged to discuss, in their submitted statements (see below), how they will contribute to expanding the diversity of our campus with their research, supervision, teaching, and public outreach.
Salary will be based on the incumbent’s qualifications, experience, and achievements and in accordance with the Faculty Agreement.
How to Apply:
Please click “Apply” below and submit the requested documents. Please combine these files into a single pdf.
• A full curriculum vitae.
• A 2-3 page research statement which must:
• highlight contributions to their field of research,
• present an overview of their planned research program for ~5 years after initial appointment with specific focus on the role of AI/ML within their research,
• describe how the candidate will interact, collaborate with, and complement other researchers at the University of Alberta.
• A 1-2 page teaching statement including their experience and interests.
• A 1-2 page equity, diversity, and inclusion statement which includes the candidate’s contributions and plans to advance EDI in their research, teaching, mentoring, and service.
• Reprints of their 3-5 most impactful publications or other meaningful contributions, with one identified as best exemplifying their work and/or vision for AI/ML in ecology and environmental science.
• A cover letter. Please include the names and affiliations of three referees. For applicants selected for interviews, three letters of reference will be requested. Applicants will be expected to contact the three referees and arrange to have them submit their letters of reference via email attachment. It is recommended that at least one reference be able to speak to the candidate’s expertise in AI/ML. Details will be provided to those candidates.
Complete applications must be received by the closing date of the competition.
Interviewees will have the opportunity to express the need for any accommodations, e.g., related to one’s mobility, dietary restrictions, child care, etc.
For further information, please email Dr. Ted Allison, at mailto:[email protected], with the subject line “Faculty Positions AI+BIOL 2025”.
To apply, please visit: https://apptrkr.com/5927780
The University of Alberta is committed to an equitable, diverse, and inclusive workforce. We welcome applications from all qualified persons. We encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to the further diversification of ideas and the University to apply.
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