ETH Zurich is one of the world's leading universities specialising in science and technology. It is renowned for its excellent education, its cutting-edge fundamental research and its efforts to put new knowledge and innovations directly into practice. The Institute for Learning Sciences and Higher Education chaired by Prof. Manu Kapur is inviting applications for a doctoral position at the intersection of learning sciences, mathematics education, and implicit social cognition.
Doctoral position in Gender Stereotypes and Mathematics Learning (100%)
The goal of this inter-disciplinary, longitudinal project is to investigate how implicit and explicit math-gender stereotypes influence learning. We aim to combine theories of Implicit Social Cognition with that of learning from Productive Failure to design a series of interventions to improve students' mathematical self-concepts. Social stereotypes and individual beliefs play an important role in determining individual children's math achievements and pathways. Students who hold a positive self-concept about mathematics are more likely to express interest in math, which, in turn, serves as a filter for engagement in current activities and future careers in STEM fields. Building early and positive math self-concepts can have positive effects on STEM skill development and class choices. Given that gender differences in students' math self-concepts emerge during elementary school, this is an important period during which to develop interventions aimed at increasing girls' math outcomes. Another important factor that has not been studied thus far is the impact of gender on how individual students differentially benefit in learning from Productive Failure. The aim of this project is to conduct experimental studies that examine the effectiveness of intervention programs with elementary-school students in Switzerland. The proposed research will use both explicit and implicit methods, and combine cross-sectional and longitudinal approaches to design more effective teaching methods and intervention strategies at multiple education levels.
We are looking for a candidate with: a) a strong background in psychology or learning sciences (or a related field), with an interest in mathematics education and gender stereotypes. Candidates with background in STEM fields, but with a strong motivation for and interest in pursuing doctoral work in the learning sciences are also welcome to apply; b) an interest in working with and in schools to carry out intervention studies; c) a fluent command of German and English; and d) familiarity with learning and social sciences research methods, although this is not essential, as training will be provided.
We look forward to receiving your online application including the following documents: A letter of motivation, CV, and copies of certificates. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

The duration
of the employment is 3 years, the employment can take place as soon as possible or after agreement. For further information about the Learning Sciences and Higher Education group please visit our website: Questions regarding the position should be directed to Dr. Esther Ziegler by email (no applications).