Queen’s National Scholar in Artificial Intelligence, Medicine and Data Justice
|Workplace||Kingston, Ontario, Canada|
Queen’s National Scholar in Artificial Intelligence, Medicine, and Data Justice Department of Biomedical and Molecular Sciences and the School of Computing Queen’s University, Canada
The Department of Biomedical and Molecular Sciences in the Faculty of Health Sciences and the School of Computing in the Faculty of Arts and Science at Queen’s University invite applications for a joint Queen’s National Scholar position at the rank of Assistant Professor (tenure-track) or Associate Professor (tenured) with specialization in Artificial Intelligence, Medicine, and Data Justice, with a preferred starting date of . The QNS in Artificial Intelligence, Medicine and Data Justice is one of five QNS being recruited this year in support of the Black Studies program and planned BA Minor/General in . Further information on the Queen’s National Scholar Program can be found on the website of the Office of the Vice-Principal (Research) at : ?url=https%3A%2F%2Fwww.queensu.ca%2Fvpr%2Fprizes-promotions%2Fnationalscholars-program&module=jobs&id=2257504" target="_blank" rel="nofollow">?url=https%3A%2F%2Fwww.queensu.ca%2Fvpr%2Fprizes-promotions%2Fnationalscholars-program&module=jobs&id=2257504" target="_blank" rel="nofollow">https://www.queensu.ca/vpr/prizes-promotions/nationalscholars-program.
Applicants must self-identify as Black persons, including those from Africa or of the African diaspora (e.g. African and Africa descended people from the Caribbean, North America, Europe, or Latin America). The successful candidate must have a PhD or equivalent degree in Computer Science, Medicine, Applied . ABDs will be considered; however these candidates must include a clear plan for degree completion and . They are expected to play a major role in the launch and delivery of the planned BA Minor/General in Black Studies as well as the graduate programs in related areas in the Department of . They will collaborate with Biomedical, Medical and Computing colleagues in aspects of AI and health data justice including machine learning, digital twins, human-AI collaboration, the ethics of design, normative implications of computerization on equity- . They will also have the opportunity to engage with researchers across the University on ethics, policy and . The main criteria for selection are academic and teaching excellence. The successful candidate will provide evidence of high-quality scholarly output that demonstrates a record for independent research leading to . A commitment to secure external research funding, as well as strong potential for outstanding teaching contributions at both the undergraduate and graduate levels, dedication to academic and pedagogical excellence in support of the two units’ programs, and an ongoing commitment to fostering equity and diversity are requirements for this position.
Ability to work in collaborative multidisciplinary settings, to participate in course development and to supervise and mentor students are . The successful candidate will be expected to make contributions through service to the . Salary will be commensurate with qualifications and experience. As a Queen’s National Scholar, the ideal candidate will clearly demonstrate three main attributes:
1) Excellence in providing rich and rewarding learning experiences to students; 2) Excellence in developing innovative, collaborative or interdisciplinary research programs that align with Queen’s priorities; and .
Further information on teaching and research priorities at Queen’s is available in the Queen’s Academic Plan, found via:
?url=https%3A%2F%2Fwww.queensu.ca%2Fstrategicplanning%2Facademic&module=jobs&id=2257504" target="_blank" rel="nofollow">?url=https%3A%2F%2Fwww.queensu.ca%2Fstrategicplanning%2Facademic&module=jobs&id=2257504" target="_blank" rel="nofollow">https://www.queensu.ca/strategicplanning/academic an d the Queen’s Strategic Research Plan, found via:
?url=https%3A%2F%2Fwww.queensu.ca%2Fstrategicplanning%2Fresearch&module=jobs&id=2257504" target="_blank" rel="nofollow">?url=https%3A%2F%2Fwww.queensu.ca%2Fstrategicplanning%2Fresearch&module=jobs&id=2257504" target="_blank" rel="nofollow">https://www.queensu.ca/strategicplanning/research.
People from across Canada and around the world come to learn, teach and carry out research at Queen’s . Faculty and their dependents are eligible for an extensive benefits package including prescription drug coverage, vision care, dental care, long term disability insurance, life insurance and . The preferred candidate will also participate in a . Tuition assistance is available for qualifying employees, their spouses and dependent children. Queen’s values families and is pleased to provide a ’top up’ to government parental leave benefits . In addition, Queen’s provides partial reimbursement for eligible daycare expenses for employees with dependent children in daycare.
Details are set out in the . For more information on employee benefits, see Queen’s Human Resources. Additional information about Queen’s University can be found on the Faculty Recruitment and Support website.
T he University is situated on the traditional territories of the Haudenosaunee and Anishinaabe, in historic Kingston on the shores of Lake Ontario.
Kingston’s residents enjoy an outstanding quality of life . V isit Inclusive Queen’s f or information on equity, diversity and inclusion resources and initiatives.
Queen’s University is one of Canada’s leading research-intensive universities with a global reputation and is a . The School of Computing and Department of Biomedical and . This opportunity is open only to qualified individuals who self-identify as Black persons, including those from .g. African and Africa descended people from the Caribbean, North America, . Recognizing the intersectionality of identities within Black communities, applications from Black candidates who also, for example, identify as women, persons with disabilities, and 2SLGBTQ+ . All qualified candidates are encouraged to apply; however, in accordance with Canadian . Queen’s University has developed a special program, as described by the Ontario Human Rights Commission, in . To comply with federal laws, the University is obliged to gather statistical information as to how many . Applicants need not identify their country of origin or citizenship; however, all applications must include one of the following statements:
"I am a Canadian citizen / permanent resident of Canada"; OR, "I am not a Canadian citizen / permanent resident of Canada". Applications that do not include this information will be deemed . In addition, the impact of certain circumstances that may legitimately affect a nominee’s record of research achievement will be given careful consideration when assessing the nominee’s research . Candidates are encouraged to provide any relevant information about their experience . A complete application consists of:
In your application, please refer to myScience.org and reference JobID 2257504.
9 August 2022
Breast cancer: new drug shrinks brain metastases
8 August 2022
Vital tech with a fatal flaw
» More news