8 Quantitative jobs

Below you will find the job description as is posted on Euraxess .  ---- SUBJECT TITLE: Stress regulation decomposed: A mechanistic approach to understand physiological and emotional regulation of stress to improve well-being CDP TITLE: NeuroCog RESEARCH FIELD:  Psychological Sciences, First Stage Researcher, Higher Education Institute, France, Not Funded by an EU Programme SCIENTIFIC DEPARTMENT (LABORATORY’S NAME):  LIP/PC2S DOCTORAL SCHOOL: Ecole Doctorale Sciences de l’Homme du Politique et du Territoire SUPERVISORS’ NAMES: Hans IJzerman, Gabriela Jiga-Boy, and Ivan Ropovik SUBJECT DESCRIPTION: Description The downregulation of stress has gained momentum in the last years as various methods became popular (e.g., mindfulness training). The accuracy of psychological research in the last few years has been debated. The theories on psychological mechanisms underpinning stress regulation, as well as on the individual role in stress regulation (stress mindsets and/or control) are therefore also underdeveloped. This project will consist of several stages: Stage 1 Meta-Analysis:  How accurate are various stress-regulation strategies? This first question will be addressed through a meta-analysis. We aim to shed light into the regulatory processes (physiological, emotional, and cognitive) that facilitate stress regulation (e.g., practicing mindfulness meditation). In addition, this stage will identify which stress regulation strategies are reliable and which are not. Stage 2 Measurement Assessment:  Which measurement methods of the autonomic nervous system (e.g., electrodermal activity, heart rate reactivity, peripheral temperature) are most efficacious and which analyses techniques should be utilized to improve understanding of the signal? Stage 3 Registered Report:  Based on the review of the first two stages, a registered report will be developed to assess the efficacy of different stress regulation strategies. This report will include plans for lab studies testing the efficacy of stress regulation strategies identified at earlier stages of the project. Embedding The supervision team consists of Hans IJzerman, Gabriela Jiga-Boy, and Ivan Ropovik. You will be directly supervised by Hans IJzerman and Gabriela Jiga-Boy, and you will have Ivan Ropovik as a distant supervisor to support with methodological aspects of the project. You will work the first 18 moths at Université Grenoble Alpes in France in the Co-Regulation (CORE) Lab ( www.corelab.io ; lab philosophy available on the website). The CORE Lab currently consists of Drs. Hans IJzerman, Elisa Sarda, and Rick Klein. All of Stage 1 and most of Stage 2 will take place at the CORE Lab. Your direct contact at the CORE Lab is its PI, Dr. Hans IJzerman, who is Associate professor in social psychology at Université Grenoble Alpes. He obtained his PhD from Utrecht University in the Netherlands. His research deals primarily with how social relationships are organized around processes of body temperature regulation. He has also developed a strong interest in “meta-science”.  The second 18 months of the project and part of Stage 2 and all of Stage 3 will be spent at Swansea University. There, you will be supervised by Dr. Gabriela Jiga-Boy, who is Assistant Professor (Senior Lecturer) in social psychology at Swansea University. She is a social cognition researcher interested in how thoughts (memories, forecasts, values) shape current and expected emotions. She currently investigates why and when mindfulness can equip one with a set of skills that help regulate emotions. She obtained her MSc and PhD in social psychology from Université Grenoble Alpes, and has taught social psychology as a lecturer at Swansea University since 2012 and at University College London, UK.   ADDITIONAL INFORMATION Benefits   Salary (France) : between €1768.55 and €2100 before tax per month Scholarship (UK) : The scholarship consists of 50% of the standard UKRI full-time UK/EU postgraduate research tuition fee and standard stipend (non-taxable) for a maximum period of three years. At 2018/2019 rates the stipend is £14777 per annum.   Eligibility criteria   Applicants: - Must hold a Master's degree (or be about to earn one) or have a university degree equivalent to a European Master's (5-year duration). - Should have a strong interest in open science (and a history of applying it, demonstrated, for example, through their Open Science Framework or GitHub projects) - Should have a strong methodological background (experience in data science, e.g., deep learning) - Should have experience in a programming language (e.g., R or Python). - Must meet the academic and English Language requirements (for details on the University’s English Language entry requirements, please visit: http://www.swansea.ac.uk/admissions/englishlanguagerequirements/ ) Applicants will have to send an application letter in English. The motivation letter should include some ideas about the project and about their history in open science. They should also attach: An application letter in English, which should include potential ideas they would develop in the project (see link provided in the recruitment ad). Their last diploma/degree certificate and full transcripts; Their CV (including names of people who can serve as references) A short presentation of their past scientific projects (2 to 3 pages max), which should include how they have applied open science. Address to send your application:   hans.ijzerman@univ-grenoble-alpes.fr  &  G.Jiga@swansea.ac.uk   Selection process   SELECTION PROCESS Application deadline:  January 15, 2019  at 17:00 (CET) Applications will be evaluated through a three-step process: Eligibility check of applications in January 16, 2019 1st round of selection: the applications will be evaluated by a Review Board in January 2019. Results will be given in January 21, 2018. 2nd round of selection: shortlisted candidates will be invited for an interview session in Grenoble between January 24 and 31, 2019. (if necessary) TYPE of CONTRACT: temporary-3 years of doctoral contract JOB STATUS: Full time HOURS PER WEEK: 35 OFFER STARTING DATE: February 2019 APPLICATION DEADLINE: January 16, 2019

Applications are invited for a 12-month Post-Doctoral Research Fellowship under the supervision of Dr. Tracy Vaillancourt who is located at the University of Ottawa in the beautiful capital of Canada.  The start date for the position is flexible.  Candidates are not expected to teach and remuneration is based on the guidelines provided by the University of Ottawa and the Canadian Institutes of Health Research. The fellow will work on the Pathways in ASD study, which is a large N, multi-method, multi-informant longitudinal study examining the developmental pathways in children with ASD. Data collection began age at diagnosis and children are currently being followed into adolescence. Our research team includes psychologists, psychiatrists, pediatricians, speech pathologists, epidemiologists, and statisticians. Requirements include (1) a completed doctoral degree in clinical or developmental psychology, epidemiology, health sciences, or statistics, and (2) demonstrated advanced statistical competence in applied longitudinal data analysis. Applications will be reviewed starting January 15, 2019 and accepted until the position is filled. Interested candidates should send their curriculum vitae, statement of research, and three letters of recommendation to tracy.vaillancourt@uottawa.ca and cc macteen@mcmaster.ca .  

Applications are invited for a postdoctoral researcher position working with Dr. Marina Milyavskaya ( https://carleton.ca/goallab/ ) in the department of Psychology at Carleton University, in Ottawa, Canada. The Goal Lab, under the direction of Dr. Marina Milyavskaya, conducts research on self-regulation and goal pursuit, combining multiple methodologies from social, personality, and health psychology including experimental, longitudinal, and ecological momentary assessment to better understand what makes for successful goal pursuit. We also study self-regulation across multiple domains, including health, academic, and relationship goals. The postdoctoral researcher will work closely with Dr. Milyavskaya and her lab in developing and implementing new studies on self-regulation, motivation, and goal pursuit. They will also be encouraged to conduct data analyses and write papers based on large datasets previously collected by Dr. Milyavskaya. We are currently looking to expand the scope of our research in new directions such as the collection of physiological data to better understand the role of effort in self-regulation; the viability of interventions that improve goal pursuit and self-regulation, and/or the collection of objective indicators of goal progress. Candidates are encouraged to bring their ideas and prior experience to help develop and implement new research directions. Candidates will also have the opportunity to mentor undergraduate and graduate students.  The ideal candidate will have: A PhD in social psychology or in an adjacent field (e.g., motivation science, cognitive psychology, health psychology) by the start date A strong academic track record including publications in leading international journals. An interest in bridging basic and applied research Knowledge of advanced statistics and prior experience working with complex data (e.g., multilevel modelling, Bayesian approaches, network analysis, structural equation modelling). Experience with one or more of the following methodologies: experience sampling, collecting psychophysiological data (i.e., physiological measures of effort); cognitive methodologies (i.e., reaction time measures of cognitive control); machine learning Good computational and/or programming skills (e.g., mastery of R, experimental software, simulations, machine learning). Experience or interest in practices of transparency and open science Experience and interest in training and supervising junior scientists. Excellent organizational skills and efficient working style.   This is a two-year position, with a possibility of renewal for a 3rd year. The postdoc can start in either the Summer or Fall of 2019, as will be mutually agreed upon. Interested candidates are asked to send (1) a letter of interest that describes research accomplishments, skills, interest in the position, and future research plans, (2) a CV, and (3) names and contact information of 2-3 professional references to marina.milyavskaya@carleton.ca with “Postdoc application” in the subject line. Dr. Milyavskaya will be available to meet with interested candidates at the SPSP 2019 conference in Portland or the ICPS 2019 conference in Paris.

The Juvenile Justice Research and Reform Lab in the Department of Psychology at Drexel University is hiring one positions to be filled by a post-doctoral fellow or early career professional. This is a two-year position contingent upon fit and funding. This position is funded by Dr. Naomi Goldstein’s research program, which is supported by grants from the U.S. Department of Justice, National Institute of Justice and Office of Juvenile Justice and Delinquency Prevention. Program Description. The successful candidate will have a primary role in evaluating the Philadelphia Police School Diversion Program, which was implemented city-wide in 2014 and involves cross-system collaboration among Philadelphia’s juvenile justice and child serving agencies. The Philadelphia Police School Diversion Program was designed by the Philadelphia Police Department to dismantle the school-to-prison pipeline by diverting youth from school-based arrest and into prevention services. As a result of this program, the city’s annual number of school-based arrests is down 71% from the number of school-based arrests in the year prior to program implementation. More information about the Philadelphia Police School Diversion Program is available: http://ww.stoneleighfoundation.org/sites/default/files/SchoolDiversionProgram-Spreads.pdf Job Description. This individual will serve as a lead member of the program evaluation team. This individual will:  Author, co-author, and collaborate on related publications, presentations, and grant proposals.  Work with the statistician to help develop data analysis plans and run analyses  Collaborate with research partners to facilitate a Cost-Benefit Analysis of the Diversion Program  Communicate with IRBs and funders;  Provide feedback to partner agencies about research findings to inform program enhancement;  Play a key role in program dissemination to and trainings for juvenile justice stakeholders in other jurisdictions seeking to replicate the program. Learning and Professional Development. The successful candidate will gain valuable learning and professional development opportunities. This individual will:  Work closely with the evaluation team, which includes Dr. Goldstein, a statistician, a data and evaluation manager, a research coordinator, the former Deputy Police Commissioner who founded the diversion program, doctoral students, and undergraduate research assistants—all of whom work in the same location at Drexel;  Collaborate with community partner agencies, including Philadelphia’s Police Department, Family Court, School District, Department of Human Services, Offices of the District Attorney and Public Defender, and service providers;  Receive mentorship in applied juvenile justice research, policy work, and grant writing.  If the successful candidate is a postdoctoral fellow, this individual can participate in postdoctoral seminars and professional development workshops at the University of Pennsylvania.  Additional opportunities available to teach pending interest. Qualifications. The Juvenile Justice Research and Reform Lab seeks a candidate with a doctoral degree in statistics, public health, criminology, public policy, psychology, or a related discipline. The ideal candidate will have strong quantitative and writing skills necessary for publications and grant proposals, and the excellent interpersonal skills needed to successfully collaborate with juvenile justice stakeholders. Title dependent on experience and career track. Salary. $50,000 plus benefits. Funded by NIJ grant #2017-CK-BX-0001 and OJJDP grant #2017-JF-FX-0055 How to Apply. Please send a letter of interest and CV to Naomi Goldstein, Ph.D., Director of the Juvenile Justice Research and Reform Lab, Co-Director of the Law and Psychology Program, and Professor of Psychology at Drexel University: neg23@drexel.edu. Please specify in the subject line, “2019 Application for Position 1”. Review of applications will begin immediately and will continue on a rolling basis until position is filled.

The Division of Social Sciences at the University of Chicago invites applications for a position as Senior Lecturer in Computational Social Science ( macss.uchicago.edu ). The Senior Lecturer is responsible for teaching in the MA program in Computational Social Science (MACSS) and contributing to curricular design, program development, and student support. This is a full-time, career-track position beginning in the 2019-20 academic year. The initial three-year appointment is renewable contingent upon satisfactory performance review. Salary and benefits are fully competitive with tenure-track positions for computational social scientists. Requirements: PhD in sociology, economics, political science, psychology, data science, computer science, or a related discipline; experience conducting social scientific research using machine learning or computational methods; programming experience using R and/or Python. Industry experience is also valued. Senior Lecturers must have the PhD in hand by September 1, 2019. Demonstrated record of outstanding effectiveness as a teacher is required. The Senior Lecturer will teach five graduate courses per year in the MACSS curriculum. At least three will cover important computational methods or questions of research design. The possibilities include a graduate introduction to social scientific inquiry; digital surveys and experiments, including A/B testing; machine learning and statistical modeling; neural networks and deep learning; Bayesian statistical inference; large-scale data storage and processing such as Spark and Hadoop; or research ethics and digital privacy. The successful applicant will also design and teach courses in their discipline or substantive area of expertise, tailored to the interests of master's and doctoral students in the Division of Social Sciences. In addition to teaching, the Senior Lecturer will work collaboratively with members of the Faculty to refine the curricular design and requirements of the master's program; lead course development for our core sequence Perspectives in Computational Analysis; help develop relationships with other computational centers on campus and in industry; participate in program admissions, staff hiring, and student recruitment; advise master's students; evaluate occasional master's theses; hire and manage teaching assistants; help train doctoral-student Preceptors; participate in the Computational Social Science Workshop; and contribute to the intellectual life and administrative needs of the master's program. The Senior Lecturer position includes support for professional development, and opportunities to participate in the intellectual life of the Division. Those opportunities include Workshops in the Department of Economics, the Booth School of Business, Sociology, Political Science, Psychology, the Law School, the Harris School of Public Policy, Computer Science, the Becker Friedman Institute, the Mansueto Institute for Urban Innovation, and the Toyota Technological Institute at Chicago.    Applicants must apply on the University of Chicago's Academic Career Opportunities website at https://tinyurl.com/yclwtxuv . The following materials must be submitted: 1) a cover letter, outlining the applicant's prior computational training, prior teaching and/or mentoring experience, and suggested course offerings in our MA program; 2) a curriculum vitae; 3) an article-length writing sample, applying a computational research design; 4) at least one course syllabus, from prior teaching or with an eye to future offerings, 5) course evaluations or other evidence of past excellence in teaching and/or mentoring; and 6) three letters of reference. We will begin reviewing applications January 2 and will continue until the positions are filled. Later applicants are welcome to contact our Managing Director, Chad Cyrenne (cmcyrenn@uchicago.edu), for updates on the status of the search. First interviews will be conducted by video conference.    The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination at http://www.uchicago.edu/about/non_discrimination_statement/ . Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-0287 or email ACOppAdministrator@uchicago.edu with their request.    

The Division of Social Sciences at the University of Chicago invites applications for a position as Lecturer in Computational Social Science (macss.uchicago.edu) . This is a full-time, career-track teaching position beginning in the 2019-20 academic year. The initial two-year appointment is renewable with opportunity for promotion. Salary and benefits are competitive with tenure-track positions for computational researchers. The Lecturer is responsible for teaching in the MA program in Computational Social Science (MACSS), providing academic and career guidance to students, and contributing to the academic administration of the program. Requirements: PhD in sociology, economics, political science, psychology, data science, computer science, or a related discipline; experience conducting social scientific research using machine learning or computational methods; programming experience using R and/or Python. Industry experience is also valued. Lecturers must have the PhD in hand by September 1, 2019. The Lecturer will teach five graduate courses per year in the MACSS curriculum. At least three will cover important computational methods or questions of research design. The possibilities include a graduate introduction to social scientific inquiry; digital surveys and experiments, including A/B testing; machine learning and statistical modeling; neural networks and deep learning; Bayesian statistical inference; large-scale data storage and processing such as Spark and Hadoop; or research ethics and digital privacy. The successful applicant will also design and teach courses in their discipline or substantive area of expertise, tailored to the interests of master's and doctoral students in the Division of Social Sciences. In addition to teaching, the Lecturer will advise master's students; evaluate occasional master's theses; hire and manage teaching assistants; participate in program admissions, staff hiring, and student recruitment; help train doctoral-student Preceptors; attend the Computational Social Science Workshop; and contribute to the intellectual life and administrative needs of the master's program. The Lecturer position includes support for professional development, and the Lecturer will participate in a dynamic community of social science researchers. Applicants must apply on the University of Chicago's Academic Career Opportunities website at https://tinyurl.com/y9ovtljm . The following materials must be submitted: 1) a cover letter, outlining the applicant's prior computational training, prior teaching and/or mentoring experience, and suggested course offerings in our MA program; 2) a curriculum vitae; 3) an article-length writing sample, applying a computational research design; 4) at least one course syllabus, from prior teaching or with an eye to future offerings, 5) course evaluations or other evidence of past excellence in teaching and/or mentoring; and 6) three letters of reference. We will begin reviewing applications January 2 and will continue until the positions are filled. Later applicants are welcome to contact our Managing Director, Chad Cyrenne (cmcyrenn@uchicago.edu), for updates on the status of the search. This position will be part of the Service Employees International Union.    The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination at http://www.uchicago.edu/about/non_discrimination_statement/ . Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-0287 or email ACOppAdministrator@uchicago.edu with their request.  

Department of Psychology invites applications for a full-time, tenure-track Assistant Professor faculty position in Quantitative Psychology to start August 21, 2019. The full position announcement is available at http://jobs.csuchico.edu/postings/5135