Now HIRING: research technician position
We invite applications for a full-time Research Technician position to begin in late summer/fall 2018 (start date flexible). We will begin reviewing applications immediately and continue until the position is filled. We are looking for applicants interested in applying a computational approach to studying human morality, emotion, and decision-making and its neural basis. Our lab uses a range of methods including computational modeling, functional brain imaging and behavioral experiments online, in the lab and the field. Some of our current projects are investigating how social media impacts moral emotions and political behavior; the cognitive and neural mechanisms of dishonesty, hypocrisy, trust, and social influence; and social cognition in mental health disorders.
The Research Technician will contribute to all aspects of our lab’s research, including (1) programming experiments and collecting data for behavioral, online and fMRI studies; (2) analyzing data using practices geared toward fully reproducible science (e.g. GitHub, OSF); (3) organizing the storage of behavioral data, neuroimaging data, and big datasets scraped from social media; and (4) general lab computing support. The position is an excellent opportunity to gain multidisciplinary research experience tackling some of society’s most pressing problems, including incivility, disinformation, political polarization, and mental illness. The ideal candidate will be interested in ultimately pursuing graduate study in psychology, neuroscience, data science, or a related field, and will be able to make a two-year commitment.
The following qualifications are essential:
- Bachelor’s degree or equivalent in psychology, cognitive science, neuroscience, computer science, economics, statistics, mathematics, engineering or related field
- Experience with statistics/data analysis including coursework and research
- Excellent interpersonal skills and willingness to learn new computational methods
- Excellent organizational skills and a high level of attention to detail
- High level of motivation, initiative and problem-solving abilities
The following qualifications are desirable but not required:
- Master’s degree or equivalent in psychology, cognitive science, neuroscience, computer science, economics, statistics, mathematics, engineering or related field
- Prior experience with computational modeling of behavioral/neuroimaging data, e.g. using reinforcement learning, Bayesian or drift-diffusion modeling techniques
- Prior experience in applying theories and methods of large-scale data acquisition and analysis, including web scraping, machine learning and natural language processing
- Prior experience with database construction (e.g. SQL)
- Prior experience with data visualization
- Prior experience with task presentation software (e.g. Psychtoolbox, PsychoPy, jsPsych)
- Prior experience with web application development
- Prior experience acquiring and analyzing neuroimaging data (e.g. using SPM or FSL)
- Graphic design skills
The position will ultimately be filled through Yale University’s internal Human Resources process; strong candidates will be encouraged to submit their application to Yale after an initial review. Women, LGBTQ, and underrepresented minority applicants are encouraged to apply. Yale University is An Equal Opportunity/Affirmative Action Employer.