How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
Mission Statement
Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.
Course Description
A central goal of modern neuroscience is to crack the ?Neural Code?- deciphering how the ongoing activity of large neural populations give rise to functions such as sensation, cognition and action. To do this, research labs use a wide array of electrophysiological, optical and other techniques to record brain activity in living animals and try to identify patterns in these data. As neurophysiological recordings often include thousands of samples per second from one to hundreds of recording channels while sensory stimuli and the subject?s actions and behavioral state are simultaneously changing, gaining insight into such data requires advanced data analysis skills. The goal of this course is to provide students with the basic programming and computational skills required to analyze time-varying neural data using the MATLAB programming language. The course will start with a fast-paced introduction to programming using MATLAB and will then cover common analysis approaches in neuroscience research and their application on real datasets. Weekly homework and problem sets that include coding of analysis methods and application to datasets will reinforce concepts and methods.
Responsibilities*
The Graduate Student Instructor Neurosci530 is expected to attend all lectures (~3 hours/week for the entire semester) and to hold up to 3 hours of weekly office hours or study/discussion sessions. The GSI will be responsible for grading homework and problem sets. Depending on needs, the GSI may be asked to prepare content for and present discussion sessions. The GSI will work with the course instructors on assessing student understanding and performance, contributing to creation of homework and problem set assignments, managing the course Canvas site, and overall course administration.
Required Qualifications*
Proficiency in computer programming with experience in programming in Matlab. Familiarity with analysis methods for spike time and continuous time (EEG, LFP) neural data. Background in mathematical and statistical concepts applied in neural data analysis methods. Excellent written and verbal communication skills. Previous research experience in neuroscience.
Desired Qualifications*
Fluency in Matlab programming. Previous research experience analyzing neural recording data. Familiarity with advanced data analysis techniques such as principal component analysis and machine learning applied to neural datasets. Significant coursework and research experience in neuroscience.
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third-party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
Contact Information
Dr. Victoria Booth ([email protected]), Dr. Gideon Rothschild ([email protected]), or Valerie Smith ([email protected])
Decision Making Process
Course directors review all applications, note all highly qualified applicants, identify unqualified applicants, and conduct interviews as needed.
Selection Process
Preference will be given to highly qualified eligible Neuroscience graduate students, followed by other graduate students who are also qualified.
GEO Contract Information
The University will not discriminate against any applicant for employment because of race, creed, color, religion, national origin, ancestry, genetic information, marital status, familial status, parental status or pregnancy status, sex, gender identity or expression (whether actual or perceived), sexual orientation, age, height, weight, disability, citizenship status, veteran status, HIV antibody status, political belief, membership in any social or political organization, participation in a grievance or complaint whether formal or informal, medical conditions including those related to pregnancy, childbirth and breastfeeding, arrest record, or any other factor where the item in question will not interfere with job performance and where the employee is otherwise qualified. The University of Michigan agrees to abide by the protections afforded employees with disabilities as outlined in the rules and regulations which implement Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Act.
Information for the Office for Institutional Equity may be found at https://oie.umich.edu/ and for the University Ombuds at https://ombuds.umich.edu/
Unsuccessful applications will be retained for consideration in the event that there are last minute openings for available positions. In the event that an employee does not receive their preferred assignment, they can request a written explanation or an in-person interview with the hiring agents(s) to be scheduled at a mutually agreed upon time.
This position, as posted, is subject to a collective bargaining agreement between the Regents of the University of Michigan and the Graduate Employees' Organization, American Federation of Teachers, AFL-CIO 3550.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.
