荷兰阿姆斯特丹大学2023年招聘博士后（贝叶斯图形建模）

荷兰阿姆斯特丹大学2023年招聘博士后（贝叶斯图形建模）

阿姆斯特丹大学（荷文：Universiteit van Amsterdam；英文：University of Amsterdam，简称UvA）创建于1632年，是一所坐落在荷兰首都阿姆斯特丹的研究型大学。它是全球大学高研院联盟、Universitas 21、欧洲首都大学联盟、欧洲研究型大学联盟成员。学校共诞生了六位诺贝尔奖获得者，五位荷兰首相，七位斯宾诺莎奖得主和一位图灵奖得主。知名校友包括欧洲理事会主席夏尔・米歇尔，Python之父吉多・范罗苏姆，图灵奖得主艾兹格・迪科斯彻，诺贝尔物理学奖得主范德华和世界国际象棋联合会主席马克斯・尤伟等。

Postdoctoral Researcher in Bayesian Graphical Modeling

University of Amsterdam

Postdoctoral Researcher in Bayesian Graphical Modeling

Faculty/Services: Faculty of Social and Behavioural Sciences

Educational level: PhD

Function type: Academic Staff

Closing date: 1 April 2023

Vacancy number: 11250

Are you interested in a postdoctoral position where you will develop a state- of-the-art methodology for the analysis of psychological networks? We are looking for a postdoc to join the Bayesian Graphical Modeling (BGM) lab (bayesiangraphicalmodeling.com) headed by Dr. Maarten Marsman.

The psychological literature on network modeling is growing rapidly, and Bayesian statistics offers concrete solutions to outstanding methodological problems (e.g., doi.org/10.1007/s11336-022-09861-x and psyarxiv.com/ub5tc). The network structure will be modeled with a graphical model or a Markov random field. The postdoc will develop a Bayesian methodology to assess structural changes in the network after an intervention and to model the influence of grouping or predictor variables. These variables may be observed, as in ANOVA and regression, or unobserved, as in mixture modeling or latent class analysis. After successfully deriving the Bayesian models and methodology, the candidate will implement the new methods in the open source statistical software R and JASP. In addition, the candidate will collaborate with the BGM lab on joint projects and help supervise Ph.D. students. The BGM lab will consist of two postdocs and three Ph.D students.

The BGM lab is part of the Psychological Methods Program Group at the University of Amsterdam, one of the largest and most successful research centers in psychological methods. Its main research areas are network analysis, Bayesian statistics, mathematical psychology, and psychometrics. In addition to developing novel research methods, we are actively developing psychological theory on several topics, including intelligence, psychopathology, and decision-making. The group is committed to open science and has made important methodological contributions over the past decade to facilitate transparent research practices.

What are you going to do

You will:

derive Bayes factors or Bayesian variable selection procedures to assess the impact of interventions and predictors on graphical models;

analyze the performance of proposed Bayesian solutions using formal methods and simulations;

implement the new Bayesian procedures in open source software such as R and JASP;

regularly present research results at (international) workshops and conferences and publish them in internationally renowned journals;

help supervise Ph.D. projects in the BGM lab.

Teaching is limited to 5% of the time, assisting in courses and supervising M.Sc. students. More teaching is possible if desired by the candidate.

What do we require

For these positions, you must have

a Ph.D. with a specialization in psychological methods, psychometrics, mathematical psychology, statistics, econometrics, or a related discipline;

hands-on experience in building Bayesian statistical models, especially Bayesian variable selection models;

hands-on experience with computational methods to evaluate Bayesian statistical models, e.g., Markov chain Monte Carlo methods;

excellent programming skills in R and C or C++;

excellent oral and written communication skills in English, as demonstrated by academic publications and presentations at international conferences;

a good publication record;

excellent interpersonal and organizational skills.

It is essential that you make Amsterdam (or a location within commuting distance) your primary residence for the duration of the postdoctoral project and that you are available to start between now and September 1, 2023.

It is desirable (but not essential) that you have

experience using JASP or programming in JASP;

experience with random graph models or graphical models.

Please note that knowledge of Dutch is not required for this position.

What can we offer you

The position concerns temporary employment of 38 hours per week. The initial employment is for one year. Following a positive assessment and barring altered circumstances, this term will be extended for one year to a total duration of two years. For this position, the University Job Classification profile 'onderzoeker 3' applies.

Salary depends on past education and relevant work experience, with a minimum salary of 欧元3974 and a maximum salary of 欧元5439 gross per month based on a full- time appointment for a 38-hour working week (in keeping with scale 11, as per the Collective Labor Agreement for Dutch Universities). We additionally offer an extensive package of secondary employee benefits, including a generous holiday scheme and year-end bonus. Because we value your continued personal development and professionalization, we also offer excellent opportunities for study and development.