APPLICATION INSTRUCTIONS:

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

This position is funded for 1 year(s); continuation past 1 year(s) will be based on university need, performance, and/or availability of funding.

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POSITION SPECIFICS​

The Cognitive Aging and Neuroimaging Lab in the College of the Liberal Arts at Penn State is hiring a full-time Human Research Technologist to assist in their investigation of the effects of aging on episodic memory using both behavioral and neuroimaging (fMRI) methods.

The Human Research Technologist will work together with a team of graduate and undergraduate students on grant-funded projects related to understanding and improving associative memories in younger and older adults.

The Human Research Technologist will play an important role in the lab’s work by being responsible for the day-to-day management of the lab. 

Key Responsibilities:

• Day-to-day management tasks of lab activities (e.g., scheduling and recruiting participants, training and supervising undergraduate research assistants)

• Creating experimental and laboratory protocols and procedures

• Programming of studies

• Data collection and analysis (including both behavioral and neuroimaging).

Opportunity for authorship on projects is also available.

Current projects in the lab center around understanding the cognitive and neural processes underlying false memories and associative memories. With respect to cognitive aging, our research examines neural markers of age-related cognitive decline, as well as mechanisms supporting neural compensation.

Regarding neuroimaging, we utilize univariate, multivariate (pattern classification, representational similarity analyses), functional connectivity, and structural analytical approaches in our investigation of encoding and retrieval processes underlying memory performance.

Information about all of our research, including ongoing projects, can be found on our lab website at https://canlab.la.psu.edu/

Qualifications:

Experience with programming languages (