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The Society for Mathematical Psychology promotes the advancement and communication of research in mathematical psychology and related disciplines. Mathematical psychology is broadly defined to include work of a theoretical character that uses mathematical methods, formal logic, or computer simulation. The Society journal is the Journal of Mathematical Psychology.

Job Announcements
University of South Australia Postdoctoral Research Fellow
Monday, 21 April 2014 20:53

Announcement: Postdoctoral Research Fellow

The University of South Australia is Australia’s University of Enterprise. Innovation and entrepreneurship are instilled in our students through industry informed teaching and learning. We encourage creativity, intellectual adventure and a spirit of enterprise. As a dynamic and agile University, UniSA continues to be ranked among the top 3% of more than 10,000 institutions worldwide, according to the QS World University Rankings. UniSA also ranked 48 in the 2013 Times Higher Education Top 100 under the age of 50.

The Institute for Choice, located in Sydney, Australia, is seeking applicants for a postdoctoral position in the area of choice modelling. The particular research stream motivating this position aims to develop and test new behavioral and econometric models of choice based on the assumption that individuals adopt “how to decide” (or antecedent volition) strategies when choosing between alternatives. The position is funded by an Australian Research Council Discovery grant to Joffre Swait and A. Marley. Start date is July 2014 or negotiable.

The successful candidate will have completed a PhD in engineering, economics or psychology (other disciplines may be considered) before commencing. Applicants must be committed to applying rigorous mathematical tools to modeling human decision making. Additionally:

·        Strong academic career orientation.

·        Applied mathematics background, including nonlinear optimization theory.

·        Good econometric and/or statistical skills presumed.

·        Demonstrable personal initiative and capability to be self-motivated.

·        Experience/interest in carrying out human behavioral experiments is desirable, though not required.

·        Programming skills, particularly in the implementation of mathematical and computational models, and in classical and/or Bayesian statistical methods in R, Gauss, Matlab, etc. SAS or SPSS would be an advantage.

To help candidates assess their suitability for the position prior to submitting an application, note that the core developments proposed in the grant will be based on the endogenous Maximum Entropy Program (eMEP) approach to choice model formulation (see Swait and Marley 2013, Journal of Mathematical Psychology 57:1-13).

Interested candidates are required to submit to This e-mail address is being protected from spambots. You need JavaScript enabled to view it (1) a CV including publications and contact information for two referees, and (2) a personal research statement describing how their interests interface with the funded project.

This position will remain open until a suitable candidate is identified and hired.

Internship for Mathematical Modeling of Human and Computational Agent Performance
Friday, 18 April 2014 08:45

Internship for Mathematical Modeling of Human and Computational Agent Performance

SOCHE Supporting 711th Human Performance Wing, Air Force Research Laboratory, Wright-Patterson AFB, Ohio

Available Summer 2014

The Warfighter Interface Division at the Air Force Research Laboratory seeks a talented mathematical modeler for a full-time research internship appointment supporting the characterization of human and computational agent performance on complex, interactive visual-spatial tasks. This work contributes to the larger research goals of automating cognitive state assessment and automating the evaluation of visualization tools for warfighter decision making. The position offers experience working on a multi-disciplinary research team in an exciting, fast-paced environment advancing the cutting edge of models and metrics for human-machine teaming in complex environments.

Specifically, the intern will work with mentors to examine the relative utility and efficacy of existing mathematical models and metrics for workload assessment. The intern will delve into heterogeneous data sources including human performance (e.g. response time) and physiology (e.g. EEG, heart rate, eye movements), as well as synthetic (model/agent-derived) data. The intern will contribute to theoretically aligning mathematical models of human data with the processes captured in the synthetic agents. S/he will gain invaluable experience for working on a research and engineering team.

Desired qualifications: Graduate student seeking degree Mathematical Psychology, Cognitive Modeling, Cognitive Science, Statistics or related, relevant field; Solid background in mathematics and statistics; Comfortable using scripted languages for numerical computation (e.g. MATLAB or Python/numpy) or computational statistics (e.g. R, Mathematica, JMP) helpful; Experience with response time modeling critical; Experience with physiology data analysis helpful; Familiarity with cognitive architectures or agent-based modeling helpful; Enthusiasm and curiosity for research helpful; Previous experience in a laboratory setting helpful;

This position is a contractor appointment through the Southern Ohio Council for Higher Education (SOCHE) program.  Appointment is for up to 10 weeks full-time with potential for follow-on appointment. This internship is located at Wright-Patterson AFB; internship requires appointee to relocate to Dayton, Ohio for the duration of the internship.

Applicant must be a US Citizen and a degree-seeking student in good academic standing. The SOCHE program is open to all qualified US Citizens without regard to race, sex, religion, color, age, physical or mental disability, national origin, or status as a Vietnam era or disabled veteran.

Applicants will need to apply at the SOCHE Internship web site:

Applicants are encouraged to email their CV and brief statement of research interests (1 page max) to Dr. Tim Halverson, 711 HPW/RHCP, This e-mail address is being protected from spambots. You need JavaScript enabled to view it and Dr. Leslie Blaha, 711 HPW/RHCV, This e-mail address is being protected from spambots. You need JavaScript enabled to view it . Inquiries are welcome.  Please be sure to include relevant mathematics/statistics coursework and modeling experience in your CV.

Please submit your application by May 15, 2014.

Postdoctoral Positions in Cognitive Modeling
Tuesday, 01 April 2014 17:26

Two post-doctoral fellows are sought to conduct research under the direction of Drs. Amy Criss and Michael Kalish in the Department of Psychology at Syracuse University. The broad goals of the research program are to develop and evaluate models of human learning and memory using behavioral experiments, advanced statistical techniques (including hierarchical Bayesian analysis) and mathematical cognitive modeling.  Dr. Criss's primary work is in episodic memory, while Dr. Kalish's focus is on category learning processes.  We are looking for a candidate in each of these areas, and are especially interested in scholars who can bridge the two.

Successful candidates will have a PhD in cognitive psychology, cognitive science or related fields (computer science, applied maths, neuroscience) and will have relevant research experience. The funding is for one year with subsequent years possible based on positive evaluation and availability of funds. Salary will be commensurate with experience. Apply online at:


and attach curriculum vita, brief statement of research interests (including reference to the research of Criss/Kalish respectively), and contact information for 3 references.


Review of applications will begin immediately and will be accepted until the positions are filled. An appointment may begin as early as June 2014. SU is an EEO/AA employer.
Post-doctoral Associate in Quantitative Psychology
Friday, 31 January 2014 09:56

The Department of Psychology, University of Nebraska-Lincoln seeks applications for a full- time post-doctoral associate in quantitative psychology; appointment may start between June 1  and August 1, 2014. Responsibilities include teaching courses in quantitative methods/statistics  and consulting/collaborating with faculty and graduate students across the Department. Area of  specialization and teaching interests are open but should complement existing departmental  strengths. Qualifications include a PhD in quantitative methods or related area, although  applicants with ABD status will be considered. Interested applicants are encouraged to contact  David DiLillo, PhD, chair of the search committee ( This e-mail address is being protected from spambots. You need JavaScript enabled to view it ), with questions. Review of  applications will begin immediately and continue until the position is filled. Applicants should  submit a cover letter addressing teaching experiences and interests, curriculum vitae, up to three  relevant publications, and contact information for three letters of reference to Dr. DiLillo at the  above email address. The University of Nebraska is committed to a pluralistic campus  community through affirmative action, equal opportunity, work-life balance, and dual careers.

Postdoc Position on Network Modeling
Thursday, 21 November 2013 00:13

Francis Tuerlinckx (KU Leuven, Belgium) and Denny Borsboom (University of Amsterdam, The Netherlands) have a joint postdoctoral position. The position is in the Research Group of Quantitative Psychology and Individual Differences at KU Leuven but involves frequent travel to and contact with the Psychological Methods group in Amsterdam.

Research: The research of the postdoc will be part of a larger program aimed at developing and applying methods for network analysis in psychology and psychopathology (see a recent review on the topic: Borsboom & Cramer, 2013). The specific research topic will depend on the expertise and interest of the candidate, but will involve one or more of the following: Statistical methods for high dimensional data, multilevel modeling, or nonlinear dynamical models.

Environment: The Research Group of Quantitative Psychology and Individual Differences at the KU Leuven is an international, productive, collaborative, and interactive environment with about 4 faculty and 17 other graduate and postgraduate students. See for further information. The University of Leuven is consistently ranked among the top research universities in Europe. Leuven is one of the oldest university towns in Europe, about 30 km from Brussels. It has a rich history, culture and night life, and a unique friendly atmosphere. Belgium is at the heart of Europe, and Amsterdam, Paris, London, and so on are within hours.

Qualifications: Applicants should have (1) a PhD in (quantitative) psychology, psychometrics, statistics, econometrics, engineering, computer sciences, physics, mathematics, or related field, (2) excellent English communication and writing skills, and (c) expertise and interest in mathematical, statistical and/or computational modeling. Experience with time series analysis is an asset. Knowledge of Dutch is not required.

Terms of employment: We offer a competitive salary with various additional benefits (in terms of holidays, health insurance, transport costs), excellent research facilities, and conference and travel budget. The postdoc will be appointed for one year, one time renewable. Starting date is open to negotiation, but no earlier than February 1, 2014.

Application: Interested candidates are encouraged to contact Francis Tuerlinckx ( This e-mail address is being protected from spambots. You need JavaScript enabled to view it ) and Denny Borsboom ( This e-mail address is being protected from spambots. You need JavaScript enabled to view it ) for more information. Review of applications will continue until the position has been filled. Applicants should send a curriculum vitae, a short statement of research interests, and the names and contact information of at least two references to Francis Tuerlinckx ( This e-mail address is being protected from spambots. You need JavaScript enabled to view it ) and Denny Borsboom ( This e-mail address is being protected from spambots. You need JavaScript enabled to view it ).

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