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Internship Machine Learning Neuroscience Jobs in Edmonton, AB

Position Summary About the Lab The Fyshe Lab studies the intersection of machine learning, natural language processing, and cognitive neuroscience - with a focus on how large language models ...

Internship Machine Learning Neuroscience information

What are the key skills and qualifications needed to thrive as an internship machine learning neuroscience, and why are they important?

To thrive in an Internship Machine Learning Neuroscience role, you generally need a background in neuroscience, computer science, or a related field, along with a solid understanding of machine learning concepts. Experience with programming languages such as Python, libraries like TensorFlow or PyTorch, and familiarity with neuroimaging software are commonly required. Strong analytical thinking, problem-solving skills, and effective communication help you work collaboratively and adapt to complex research environments. These skills are essential for contributing meaningfully to interdisciplinary projects at the intersection of neuroscience and artificial intelligence.

What is the difference between Internship Machine Learning Neuroscience vs Internship Data Science?

AspectInternship Machine Learning NeuroscienceInternship Data Science
Required CredentialsBackground in neuroscience, machine learning, programmingBackground in statistics, programming, data analysis
Work EnvironmentResearch labs, healthcare, academia, tech companiesBusiness, tech firms, research institutions
Industry UsageNeuroscience research, AI development, healthcare techBusiness analytics, product development, consulting

Internship Machine Learning Neuroscience focuses on applying machine learning techniques to neuroscience data, often within research or healthcare settings. In contrast, Internship Data Science covers a broader range of data analysis across industries. Both roles require programming skills, but the focus and industry applications differ significantly.

What is an internship in machine learning neuroscience?

An Internship in Machine Learning Neuroscience is a temporary position, often for students or recent graduates, that involves applying machine learning techniques to neuroscience research. Interns may work on projects such as analyzing brain imaging data, modeling neural networks, or developing algorithms to understand brain function. These internships provide hands-on experience in both computational methods and neuroscience concepts, helping interns build valuable skills for future academic or industry roles. Opportunities can be found in universities, research institutes, or technology companies with neuroscience divisions.

What types of projects do interns typically work on in a machine learning neuroscience internship?

Interns in Machine Learning Neuroscience often engage in projects that combine data analysis, algorithm development, and neuroscience research. This can include tasks such as preprocessing neural data, building and evaluating machine learning models to interpret brain signals, or developing tools for data visualization. Interns frequently collaborate with both data scientists and neuroscientists, gaining hands-on experience with real-world datasets and exposure to interdisciplinary research environments. These projects help interns build practical skills and contribute meaningful insights to ongoing research.
What cities near Edmonton, AB are hiring for Internship Machine Learning Neuroscience jobs? Cities near Edmonton, AB with the most Internship Machine Learning Neuroscience job openings:

Part-time

Posted 26 days ago


Job description

This position has a term length of one-year.

Location -  This role is hybrid with a mix of remote and in-person. Work primarily takes place at North Campus, Edmonton.

Position Summary

About the Lab

The Fyshe Lab studies the intersection of machine learning, natural language processing, and cognitive neuroscience - with a focus on how large language models represent meaning and how those representations compare to human neural activity. Our work spans behavioral experiments, EEG, and fMRI, alongside computational modeling of language models.
About the Role

We're looking for a Lab Manager to help keep our research running smoothly. You'll support the day-to-day operation of behavioral, EEG, and fMRI studies - from participant scheduling through to data handling - and help the lab stay organized as we juggle multiple concurrent projects. No prior experience with fMRI, EEG, or behavioral testing is required, but experience with any of these is an asset. Coding experience (e.g., Python) is preferred, as you may help with basic data organization, preprocessing scripts, or lab tooling.

The University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Metis, Inuit and all FirstPeoples of Canada, whose presence continues to enrich our vibrant community.

The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to over 14,000 faculty and staff, more than 40,000 students and a growing community of 300,000 alumni worldwide.

Your work will have a meaningful influence on a fascinating cross-section of people - from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just. Learn more.

At the University of Alberta, we are committed to creating an inclusive and accessible hiring process for all candidates. If you require accommodations to participate in the interview process, please let us know at the time of booking your interview and we will make every effort to accommodate your needs.

We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.

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The University of Alberta is committed to creating a university community where everyone feels valued, barriers to success are removed, and thriving connections are fostered. We welcome applications from all qualified persons. We encourage women, First Nations, Metis 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.

L'Universite de l'Alberta s'engage a creer une communaute universitaire ou chaque personne se sent valorisee, ou les obstacles a la reussite sont elimines et ou des connexions enrichissantes peuvent se developper. Nous accueillons les demandes de toutes les personnes qualifiees. Nous encourageons les femmes; Premieres nations, Metis et Inuits; membres des groupes minoritaires visibles; personnes handicapees; personnes de toute orientation sexuelle ou identite et expression de genre; et toutes les personnes qui peuvent contribuer a la diversification des idees et a l'universite a postuler.
The Faculty of Science is internationally recognized for excellence in research and education. Through pioneering discovery and innovation, the faculty addresses global challenges across disciplines such as biology, chemistry, computing science, physics, mathematics, and earth sciences. Its work positions the university at the forefront of technological, environmental, and scientific advancement.

Minimum Qualifications:

  • Partial completion of an undergraduate degree in Psychology or Computing Science or a related field. Preference will be given to candidates who have completed at least two years of their undergraduate program.
  • Strong organizational skills and attention to detail
  • Comfortable managing multiple ongoing tasks and communicating with study participants
  • Ability to work independently and reliably on a part-time schedule

Preferred Qualifications:

  • Experience with EEG, fMRI, or behavioral experiment software (e.g., PsychoPy, E-Prime, EEGLAB, or similar)
  • Programming experience, especially Python and Matlab
  • Background or coursework in cognitive science, neuroscience, psychology, computing science, or a related field
  • Experience designing experiments and choosing stimuli
  • Familiarity with research ethics processes (REB applications)
     

Application Instructions 

Click "Apply Now" to submit your application, including your cover letter and resume. Your cover letter should outline your interest in the position and highlight how your qualifications and experience make you a strong candidate for the role.
 

This position is subject to all applicable terms and conditions of the collective agreement between the Governors of the University of Alberta and the Non-Academic Staff Association (NASA).

  • Coordinate scheduling and logistics for behavioral, EEG, and fMRI sessions
  • Assist with running experimental sessions alongside trainees and the PI
  • Recruit and communicate with study participants
  • Write new research ethics applications, renew existing approvals, and close out completed studies with the REB
  • Manage research ethics documentation and ensure protocols are followed
  • Organize, back up, and maintain research data according to lab and university data management standards
  • Maintain lab equipment, supplies, and shared resources
  • Support onboarding of new students and trainees to lab procedures
  • Assist with basic data organization or scripting tasks as needed