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About the Role

The Research Associate II supports innovative research in human neurophysiology and brain-computer interfaces (BCIs), with a primary focus on electroencephalography (EEG)-based research. This position designs and conducts research experiments, analyzes complex data, supports protocol development, and collaborates with multidisciplinary research teams to advance scientific discovery.

Responsibilities

• Design and independently conduct brain-computer interface (BCI) experiments.
• Collect electroencephalogram (EEG) and other physiological data.
• Maintain accurate records of experimental procedures and research results.
• Recruit research participants and conduct participant follow-up activities.
• Analyze research data using signal processing, machine learning, statistical methods, and other scientific techniques.
• Interpret research findings and prepare reports for review by senior researchers.
• Assist with manuscripts and scientific publications by drafting sections, reviewing content, and ensuring adherence to publication guidelines.
• Compile research data and prepare comprehensive reports supporting ongoing research activities.
• Develop and optimize brain-computer interface (BCI) research protocols.
• Review and update standard operating procedures (SOPs) as needed.
• Assist with Institutional Review Board (IRB) submissions and ongoing protocol management by preparing documentation, coordinating with IRB representatives, and ensuring timely submissions and approvals.
• Maintain, calibrate, and troubleshoot laboratory equipment.
• Evaluate laboratory procedures and conduct self-assessments while preparing detailed reports.
• Maintain a clean, organized, and adequately stocked laboratory environment.
• Follow established laboratory safety protocols and procedures.
• Collaborate with research staff to coordinate experiments and share findings.
• Participate in team meetings and provide updates on research progress.
• Communicate effectively with internal research teams, external collaborators, and project stakeholders.

Requirements

• Bachelor's degree in Electrical and Computer Engineering, Biomedical Engineering, Neuroscience, or a related field.
• Minimum of two (2) years of relevant laboratory experience.
• Experience supporting scientific research activities in a laboratory setting.
• Relevant education and experience may be substituted as appropriate.
• Master's degree in Electrical and Computer Engineering, Biomedical Engineering, Neuroscience, or a related field.
• Three (3) or more years of experience supporting EEG-based brain-computer interface (BCI) research.
• Experience with signal processing, machine learning, and advanced statistical analysis techniques.
• Experience contributing to scientific publications, grant proposals, or IRB submissions.
• Resume/CV
• Three (3) work references with contact information; at least one reference should be a supervisor.
• Letter of interest

Skills

• Demonstrated expertise in EEG-based brain-computer interfaces (BCIs).
• Knowledge of signal processing, machine learning, statistical analysis, and scientific research methodologies.
• Ability to analyze experimental results, identify data trends, and troubleshoot research challenges.
• Strong attention to detail with the ability to maintain accurate experimental records and documentation.
• Proficiency operating laboratory instrumentation and scientific data analysis software.
• Strong written and verbal communication skills with the ability to prepare reports, publications, and presentations.
• Ability to work collaboratively in a multidisciplinary research environment.

Location

• AUSTIN, TX

Work Type

• Full-time

Experience Level

• 2+ years of relevant laboratory experience
• 3+ years of experience supporting EEG-based brain-computer interface (BCI) research

Education Level

• Bachelor's degree in Electrical and Computer Engineering, Biomedical Engineering, Neuroscience, or a related field.
• Master's degree in Electrical and Computer Engineering, Biomedical Engineering, Neuroscience, or a related field.

Salary/Compensations

• $47,025+

Benefits

• Teacher Retirement System of Texas (TRS) eligibility if position is at least 20 hours per week and at least 135 days in length.

About the Company

• The University of Texas at Austin is an equal opportunity/affirmative action employer.
• The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
• The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
• If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form.
• The University of Texas at Austin uses E-Verify to check the work authorization of all new hires.

Equal Opportunity

• The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action.
• The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.