An understanding of the biological basis of economic decision-making is important not only scientifically, but also clinically due to disruptions of decision-making processes in neuropsychiatric disorders. The Neuroeconomics Laboratory studies these questions by combining ideas and tools from neuroscience, economics, and psychology. The goals of our research involve characterizing the underlying neural systems as well as molecular and genetic mechanisms. Our lab is part of the Haas School of Business and the Helen Wills Neuroscience Institute.
Position Overview: The Neuroeconomics Laboratory seeks a Postdoctoral Scholar in Neural Basis of Economic Decision-Making. The Postdoctoral Scholar will be expected to contribute research using a sophisticated combination of economic modeling to study the neural basis of economic decision-making. The selected Postdoctoral Scholar candidate will work with the principal investigator as well as collaborators at UC Berkeley and UCSF (Profs. Robert Knight and Andrew Kayser), and the rest of the research team to help achieve the laboratory’s goals. The initial appointment is for one year, full-time with the possibility of renewal based on performance and the availability of funding. The total duration of an individual's postdoctoral service may not exceed five years, including postdoctoral service at other institutions.
The position will remain open until filled. Please address inquiries to Prof. Ming Hsu, Principal Investigator, at firstname.lastname@example.org.
Responsibilities: During the appointment period, the successful candidate will be expected to:
Integrate computational models of economic decision-making with neural measurement and manipulation, including fMRI, ECoG, and pharmacological manipulation.
Design and carry out behavioral and neuroscientific experiments.
Conduct data analysis connecting model and experimental observations.
Prepare manuscripts, write reports, and give presentations as part of the research team.
Mentor and manage graduate and undergraduate research assistants.
Qualifications (required at the time of application):
A PhD or MD/PhD in a relevant field (Neuroscience, Economics, Psychology, Decision Sciences or related discipline) is required.
Experience in computational modeling and experimental cognitive neuroscience in either human or model organisms (fMRI, ECoG, single-unit recordings) are highly desirable.
Strong programming skills (e.g., Matlab, R, Python) and deep understanding of statistical methods are a must.
Excellent verbal and written communication.
Interest and willingness to work in an highly interdisciplinary environment.
Most recently updated Curriculum Vitae
Cover Letter addressed to Dr. Ming Hsu
Candidates selected for interview will be required to submit 3 letters of recommendation.*
* All letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality (http://apo.berkeley.edu/evalltr.html) prior to submitting their letters.
Internal Number: 38173
About Berkeley Neuroeconomics Lab
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