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PhD Position for the Project "Social Media Representation of LGBQ Young People"
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University of Amsterdam
- Career category: Research/ Data analysis
- Job type: PhD
- Experience level: 0-5 years
- Organisation type: Research
- Remote option: No
- Right to work requirements: Anyone can apply
- Renumeration: $2,770-$3,539 / monthly
- Work schedule: Full-time
- Length of contract: Temporary/ Fixed-term
- Deadline: 15/08/2024
- Location: Netherlands
LGBTQI+ rights/ SOGIESC
What are you going to do
As a PhD candidate in this project, you will conduct three related studies connected to the overarching research question of the project. The project is currently planned to include a systematic narrative review, a survey research, and a longitudinal design study with experience sampling method (ESM). This PhD project requires you to provide an overview of relevant academic literature and design the three studies of the project. Together, successfully completing these studies will lead to a PhD dissertation.
You will:
As a PhD candidate in this project, you will conduct three related studies connected to the overarching research question of the project. The project is currently planned to include a systematic narrative review, a survey research, and a longitudinal design study with experience sampling method (ESM). This PhD project requires you to provide an overview of relevant academic literature and design the three studies of the project. Together, successfully completing these studies will lead to a PhD dissertation.
You will:
- Manage the project, e.g., schedule meetings with the supervisory team, prepare the agenda for these meetings, document meetings and research activities;
- Design and prepare the studies (e.g., create a search strategy for a narrative literature review, set up a survey);
- Collect and analyze data for the studies (e.g., collect and synthesize relevant academic literature, recruit survey and ESM participants, analyze cross-sectional survey and ESM data);
- Write academic articles for publications in high-impact scientific journals, as well as present in (inter)national conferences;
- Contribute to the ASCoR research community by attending workshops, meetings, and lectures;
- Contribute to teaching activities at Bachelor’s level (approximately 10% of your time).
What do you have to offer
A successful candidate for this position has affinity with quantitative research methods and writing academic texts. Moreover, you are able to work independently and manage your own time.
Furthermore, you have:
- a (research) master’s degree in communication science, psychology, media studies or sociology, or will obtain this degree before the start of the project;
- a strong interest in the topics of social media, media representation, digital society, diversity and inclusion;
- knowledge of and experience with quantitative research methods and data analysis required; in particular, literature reviews, surveys, experiments; in addition experience with data donations, experience sampling methodology (ESM), (multilevel) longitudinal analyses, computational methods are a plus;
- skills to handle complex datasets;
- knowledge of and ideally also experience with open science principles;
- a strong commitment to methodological rigor and scientific integrity;
- a strong interest to learn new skills;
- excellent social and organizational skills;
- motivation to share your knowledge with academic and non-academic audiences;
- an interest in pursuing an academic career;
- excellent command of spoken and written English;
- evidence of English language proficiency (for example, in the form of thesis work or presentations);
- mastery of Dutch is a plus.
You are:
- adept in quantitative data analysis with a demonstrated ability to learn new techniques;
- able to work both in a team and independently, and you have a pro-active attitude;
- organized, flexible, and demonstrate attention to detail;
- curious, creative, and interested in learning from different disciplines;
- resilient in the face of challenges that come with new methodological approaches;
- able to balance the demands of several tasks (e.g., combining research and teaching) successfully.
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