A TA is required to support the convenor Dr Kathryn Eccles in teaching Cultural Analytics, an 8-week option course for MSc Social Science of the Internet students in Weeks 1-8 of Hilary Term. 

The expected hours are up to 10 hours per week for 9 weeks (Weeks 0-8 of Hilary Term) up to a maximum of 90 hours in total, although some of these hours may be taken in Week 9 depending on convenor requirements. 

In this course we study the challenges and opportunities of studying culture using computational methods. It begins by tracing how computational techniques entered the study of culture, considers what biases, gaps and inequalities are represented in cultural data and systems, and explores how digital tools and data challenge the very nature of cultural objects by putting them into new spatial, ontological and materialised forms.  

The TA is expected to work with the convenor to support and deliver feedback on students’ weekly formative presentations, discuss students’ potential essay topics, facilitate weekly group discussions, and engage in the weekly ‘homework’ tasks (e.g. use AI to write a pitch for a movie). The TA will assist the convenor with communications with the students between sessions. The TA will also be asked to review the current course readings and make suggestions for updates to the reading list for next year. 

The prospective TA should have at least a basic familiarity with literature on the course’s reading list and the willingness to study the essential readings carefully before the class starts. The prospective TA should have experience in and/or the willingness to learn group discussion facilitation.

Classes will take place in Weeks 1-8, Tuesdays, from 2-4pm. 

A TA is required to support Prof Mark Graham and Dr Janaki Srinivasan in teaching the course, Fair Digital Economies, an option course offered to students on the MSc in Social Science of the Internet in Weeks 1-8 of Hilary term. 

This course will introduce students to the debates and practices surrounding economic development and digital capitalism: with a particular focus on the world’s economic margins. 

The expected hours are up to 10 hours per week for 9 weeks (Weeks 0 to 8) up to a maximum of 90 hours in total, although some of these hours may need to be taken in Week 9 depending on convenor requirements.  

The TA is expected to: 

(1) Be present at all lectures (Thursdays 3-5pm) and to assist facilitating seminar discussion and related hands-on activities in class; 

(2) Help students with general queries outside of class by email; 

(3) Assist in the provision of feedback on coursework (such as the formative essay), as required; 

(4) Summarise weekly reading responses from all students; 

(5) Prepare summaries of assigned readings; 

The prospective TA should have some background in critical approaches within development studies, geography, sociology, or anthropology. 

A TA is required to support the convenor Joss Wright in teaching Subversive Technologies, an 8-week option course for MSc Social Science of the Internet students in Weeks 1-8 of Hilary Term. 

The expected hours are up to 10 hours per week for 9 weeks (Weeks 0-8 of Hilary Term) up to a maximum of 90 hours in total, although some of these hours may be taken in Week 9 depending on convenor requirements. 

Subversive Technologies provides an introduction to technologies related to security, privacy, and information control, and how these technologies intersect with society. The course aims to provide a contextual understanding of the realities of subversive technologies, and their capabilities, for students from a range of both technical and non-technical backgrounds. 

The TA is expected to attend lectures every week (Fridays 11am-1pm), as well as participating in discussions, and to be one point of contact for queries from students about administrative aspects of the course. 

The prospective TA should have experience with the history and context of subversive technologies, as well as some technical expertise. There are no strongly technical tasks for the TA to perform, but a knowledge of encryption, privacy technologies, internet censorship, and similar are a significant benefit in participating in seminars, tutorials, and discussions. 

A TA is required to support the convenors Prof Ekaterina Hertog and Dr Ewan Soubutts in teaching the eight-week methods option, Qualitative Interviewing and Data Analysis, which is offered to MSc Social Science of the Internet students in Weeks 1-8 of Hilary Term. 

The expected hours are up to 20 hours per week for 9 weeks (Weeks 0 to 8) up to a maximum of 180 hours in total, although some of these hours may need to be taken in Week 9 depending on convenor requirements. This role could be offered to 1 TA at 20 hours per week or 2 TAs at 10 hours per week. 

The TA is expected to: 

(1) Be present at all eight lecture/seminar sessions (Thursdays, 09.15-11.15am) and facilitate seminar discussion and related activities in class;  

(2) Facilitate a weekly 1-hour drop-in sessions for students to help with assignments and general queries following the lectures (Thursdays, 11.15am- 12.15pm);  

(3) Assist in the provision of feedback on formative coursework (as required) and on CUREC forms completed by the students in relation to their course research projects.  

The prospective TA should have some previous experience of/engagement with digital interviewing and/or related qualitative research methods. 

A TA is sought to support the convenor Prof Bernie Hogan in the delivery of Computational Methods for the Social Sciences, an eight-week methods option offered to OII students on the MSc in Social Science of the Internet in Weeks 1-8 of Hilary Term. 

The expected hours are up to 20 hours per week for 9 weeks (Weeks 0 to 8) up to a maximum of 180 hours in total although some of these hours may need to be taken in Week 9 depending on convenor requirements. This role could be offered to 1 TA at 20 hours per week or 2 TAs at 10 hours per week. 

The purpose of this course is to familiarize the student with collecting and wrangling structured and unstructured data from social websites and platforms, as well as simple visualisations, sentiment analysis, and statistical tests. 

The TA should have experience using Python, ideally to collect data using APIs and preprocess data in JSON/CSV format. 

The TA will participate in the classes (Mondays 11:30am – 1:30pm) and the TA sessions (Wednesdays 09:30 – 10.30am) and help students with their programming outside of class. 

The TA is expected to: 

(1) Be present at all eight class sessions and help students with the formative exercises in class;  

(2) Facilitate weekly 1-hour drop-in sessions for students to help with assignments and general queries on Wednesday mornings;  

(3) Assist in the provision of feedback on formative coursework. 

(4) Help renewing the weekly Python scripts used in each class. 

A TA is required to support convenor Dr Robert Prey in teaching the eight-week methods option, Digital Ethnography which is offered to MSc Social Science of the Internet students in Weeks 1-8 of Hilary Term. 

The course explores the potential for use of ethnographic methods in the context of digital and online research. 

The expected hours are up to 15 hours per week for 9 weeks (Weeks 0 to 8) up to a maximum of 135 hours in total, although some of these hours may need to be taken in Week 9 depending on convenor requirements.    

The TA is expected to: 

(1) Be present at all eight lecture/seminar sessions (Tuesdays 09:30am – 11.30am) and to facilitate seminar discussion and related activities in class; 

(2) Facilitate weekly 1-hour drop-in sessions for students (Tuesdays 4-5pm) to help with assignments and general queries; 

(3) Assist in the provision of feedback on coursework, including ethics clearance (CUREC) forms, as required. 

The prospective TA should have some previous experience of/ engagement with ethnographic methods, including (for example) embedded fieldwork, participation observation, interviewing and/or related qualitative research methods. 

A TA is sought to support convenor Dr Paul Röttger in the delivery of essential support for Applied Analytical Statistics, an 8-week core course designed for MSc Social Data Science students, which is also offered as an optional methods course for MSc Social Science of the Internet students. The TA will be expected to dedicate approximately 15 hours per week during Weeks 0-8 of the Hilary term, with the majority of these hours scheduled within the core weeks of Weeks 1-8. The total maximum number of hours for this role will be 135 hours. 

This course serves as an introduction to statistical analysis, primarily targeting individuals with some background in mathematics and statistics from their undergraduate studies. The emphasis will be on applying practical statistics within a social research context, rather than delving into the fundamental mathematical foundations of statistical concepts. 

This year, the labs for this course will primarily use R. Therefore, it is essential that the TA possesses familiarity with programming in R. Most importantly, the TA should have a strong understanding and practical experience of statistical analysis within a social research framework. 

The TA will be responsible for attending lectures conducted by the course convenor (Tuesdays 1.30-3.30pm), hosting weekly drop-in sessions (Tuesdays 3.30-5.00pm), addressing student inquiries, and assessing assignments.

A TA is required to support Prof Carl-Benedikt Frey in teaching Data and Society II, an 8-week core course for MSc Social Data Science students in Weeks 1-8 of Hilary Term. 

The expected hours are up to 6 hours per week for 9 weeks (weeks 0 – 8 of Hilary Term) up to a maximum of 54 hours in total, although some of these hours may be taken in Week 9 depending on convenor requirements. 

This course will introduce students to the debates and practices surrounding the frontiers of social data science: with a particular focus on the economics of innovation. 

The TA is expected to: 

(1) Be present at all lectures (Tuesdays 9.30 – 11.30am) and to assist facilitating seminar discussion and related hands-on activities in class; 

(2) Help students with general queries outside of class by email; 

(3) Assist in the provision of feedback on coursework (such as the formative essay), as required; 

An ideal candidate has detailed knowledge of economics, and social science more broadly, to a level as covered in the course, both theoretical as well as practical. Preference is given to DPhil students and post-docs working on economics and social science related topics and who ideally have previous tutoring experience. 

A TA is sought to support convenor Dr Adam Mahdi in the delivery of Applied Machine Learning with LLMs, an 8-week option course for MSc Social Data Science students in Weeks 1-8 of Hilary Term. 

The expected hours are up to 12 hours per week for 9 weeks (weeks 0 – 8 of Hilary Term) up to a maximum of 108 hours in total, although some of these hours may need to be taken in Week 9 depending on convenor requirements. 

An ideal candidate has detailed knowledge of machine learning, to a level as covered in the course, both theoretical as well as practical. Preference is given to DPhil students and post-docs working on machine learning related topics and who ideally have previous tutoring experience. 

Lectures for this course will take place Weeks 1-8 Thursdays, 09:30am – 11:30am with a 1-hour TA session Thursdays, 11.30am – 13.30pm. 

A TA is sought to support convenor Dr Scott Hale in the delivery of Social Data Science in Practice, an 8-week option course for MSc Social Data Science students in Weeks 1-8 of Hilary Term. 

The expected hours are up to 12 hours per week for 9 weeks (Weeks 0-8 of term) up to a maximum of 108 hours in total, although some of these hours may need to be taken in Week 9 depending on convenor requirements. 

Social Data Science in Practice will teach collaborative coding with version control (e.g., code reviews, pull requests), containerization (i.e., Docker), Test driven development and continuous integration/continuous development (CI/CD), and other similar topics. 

The TA is expected to: 

(1) Be present at all lectures (Fridays 2-4pm)
(2) Facilitate weekly lab sessions (Fridays 4-5pm). TAs will be provided the answers to lab exercises in advance of the course and asked to answer student questions as students work to complete the labs;
(3) Help students with general queries outside of class by Teams or email;
(4) Assist in the provision of feedback on formative coursework.