We are hiring a Postdoctoral Researcher in Social Media and User Privacy

The Social Media Lab at Ryerson University Ted Rogers School of Management  in Toronto, Canada is seeking a highly motivated and creative Postdoctoral Researcher with expertise in Structural Equation Modeling.

The broad aim of this position is to engage in innovative research on social media and user privacy. Applicants must have a demonstrable expertise in applications of Structural Equation Modeling and/or other statistical approaches to analyze survey data and/or social network data. Knowledge of privacy-related research is an asset. In addition, applicants must also have strong research writing and communication skills and a passion for data analysis (both qualitative and quantitative).

The position will be for a period between September 1, 2018 – August 31, 2019. The salary is $45k CAD per annum plus a comprehensive benefits package.

The successful candidate will be a member of and work with an interdisciplinary team of researchers at Ryerson University’s Social Media Lab, headed by Co-directors Dr. Anatoliy Gruzd, Canada Research Chair and Associate Professor at the Ted Rogers School of Management and Philip Mai, Director of Business and Communications.  The researcher is expected to be located in Toronto, Canada.

RESPONSIBILITIES:

The postdoctoral fellow will be expected to collaborate actively with all team members and contribute to the intellectual life of the lab. These responsibilities include but are not limited to:

  • Contributing substantially to research projects and publications of the lab,
  • Performing statistical analysis of various datasets,
  • Communicating regularly with the project team,
  • Actively participating in the knowledge management and translation of the lab research via conferences, the lab’s website and via our various social media channels.

QUALIFICATIONS:

  • A doctorate in one of the following areas: Management, Information Studies, Communication, or a related field is required
  • Hands-on experience with statistical methods and packages
  • Working knowledge of various statistical methods to analyze survey data such as structural equation modeling, regression analysis, factor analysis, etc.
  • Excellent English writing skills is critically important

DESIRED QUALIFICATIONS:

  • Strong publication record in field of expertise

To apply to this opportunity, the applicant must:

  • have earned a first doctorate from an accredited university no earlier than September 2015 (date all degree requirements were completed, not the date of graduation), or have completed a first doctorate no earlier than September 2012, but have since had their career interrupted or delayed for the purpose of maternity, illness, or health-related family responsibilities;
  • not hold a tenure or tenure-track faculty position;

TO APPLY:

  • Candidates should submit the following materials electronically to Dr. Anatoliy Gruzd at work@socialmedialab.ca

Please email one PDF file that includes the following:

  1. Cover Letter that describes your relevant background and skills, range of interests and career goals
  2. Academic CV
  3. The name and contact information for three research references (one reference should be your doctoral advisor); Reference letters will only be solicited from the short-listed candidates
  4. Publication/writing sample

DEADLINE:

  • Review of applications will begin on August 6, 2018 and continue until the position is filled.

INSTITUTIONAL BACKGROUND:

Located at the heart of downtown Toronto, the largest and most culturally diverse city in Canada, the Social Media Lab is an internationally engaged multi- and interdisciplinary research laboratory at the Ted Rogers School of Management at Ryerson University. The lab studies how social media is changing the ways in which people and organizations communicate, disseminate information, conduct business and form communities online, and how these changes impact society. Our expertise lies in studying online communities and social networks, and developing new methods for analyzing and visualizing social media data. The broad aim of our research is to provide insight into the behaviors and relationships of online network members, and to understand how these interpersonal connections influence our personal choices and actions.

Ryerson University (with 38,000 undergraduate and 2,500 graduate students) is located in the heart of one of the world’s most culturally and linguistically diverse urban centres. Research at Ryerson is on a trajectory of success and growth, as evidenced by externally funded research doubling in the past four years. Longstanding partnerships with community, industry, government, and professional practice drive research and innovation that responds to real-world problems. The University’s academic plan, Our Time to Lead, can be found at https://www.ryerson.ca/provost/academic-plan/.

Ryerson University is strongly committed to fostering diversity within our community. We welcome those who would contribute to the further diversification of our staff, our faculty and its scholarship including, but not limited to, women, visible minorities, Aboriginal people, persons with disabilities, and persons of any sexual orientation or gender identity. Please note that all qualified candidates are encouraged to apply but applications from Canadians and permanent residents will be given priority.