Job Description

About Queen's University

Queen's University is the Canadian research intensive university with a transformative student learning experience. Here the employment experience is as diverse as it is interesting. We have opportunities in multiple areas of globally recognized research, faculty administration, engineering & construction, athletics & recreation, power generation, corporate shared services, and many more.


We are committed to employment equity and diversity in the workplace and welcome applications from individuals from equity seeking groups such as women, racialized/visible minorities, Indigenous/Aboriginal peoples, persons with a disability, persons who identify in the LGBTQ+ community and others who reflect the diversity of Canadian society.


Come work with us!

Job Summary

The successful candidate will join a vibrant academic and research environment, conducting interdisciplinary work that bridges conservation science, computational modeling, and art history. The fellow will focus on the development and implementation of AI-based methods to interpret spectral datasets (e.g., X-ray Fluorescence (XRF), Fibre Optic Reflectance Spectroscopy (FORS), multispectral and hyperspectral imaging) for the rapid and accurate characterization of materials used by artists, including identifying their aging and degradation.

KEY RESPONSIBILITIES:

Develop machine learning algorithms to analyze complex spectroscopic datasets. Produce and characterize reference samples using a variety of imaging and spectroscopic techniques. Advance microanalytical techniques, particularly hyperspectral microscopy. Maintain and support laboratory instrumentation and protocols. Contribute to the Art Conservation curriculum through workshops and lectures. Engage in public outreach and deliver an annual public lecture on fellowship research. Conduct independent and collaborative research resulting in peer-reviewed publications and conference presentations. Develop and deliver workshops and training sessions within the Art Conservation program. Design and implement operating procedures for spectroscopic scientific instruments housed in the Art Conservation program. Coordinate research activities and liaise with external partners and initiatives. Manage administrative tasks related to research reporting and compliance. Participate in outreach and knowledge mobilization through public events and lectures.

REQUIRED QUALIFICATIONS:

A completed Master's degree (MAC, MA, MSc, or PhD) in Chemistry, Physics, Engineering, Computer Science, Heritage Conservation, or a related field from a recognized program in Canada or internationally. Proficiency in programming and machine learning (e.g., Python, R, scikit-learn, TensorFlow). Familiarity with artists' materials, including pigments, binders, and their chemical properties. Demonstrated research design, project management skills, and a demonstrated commitment to learn. Strong oral and written communication, interpersonal, and analytical skills. Ability to work both independently and collaboratively in a multidisciplinary team. Experience with spectroscopic and imaging techniques (i.e. XRF, FORS, multi/hyperspectral) (preferred). Experience handling cultural heritage artifacts (preferred). Understanding of risk assessment, data ethics, and lab safety protocols.

SPECIAL SKILLS:

Respects diversity and promotes inclusion in the workplace. Organization and time-management skills. Ability to maintain focus in spite of many different duties and frequent interruptions. Ability to take initiative, to work with minimal supervision, to make independent decisions and administer the program while dealing with frequent conflicts and time constraints. Excellent analytical and problem-solving skills to resolve administrative problems, assist with policy decisions and improve overall efficiency within the undergraduate program and department. Excellent communication and interpersonal skills to interact with a wide variety of individuals in many different contexts. Discretion and tact in handling confidential and sensitive matters and materials. Good judgement and initiative. Excellent computer and office skills in particular Microsoft Office, Word and Excel. Ability to learn new software packages as required.

Employment Equity and Accessibility Statement

The University invites applications from all qualified individuals. Queen's is strongly committed to employment equity, diversity, and inclusion in the workplace and encourages applications from Black, racialized persons, Indigenous people, women, persons with disabilities, and 2SLGBTQI+ persons. In accordance with Canadian Immigration requirements, priority will be given to those who are legally eligible to work in Canada.


The University provides support in its recruitment processes to all applicants who require accommodation due to a protected ground under the Ontario Human Rights Code, including those with disabilities. Candidates requiring accommodation during the recruitment process are asked to contact Human Resources at hradmin@queensu.ca.