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Cambridge Networks Network

Postdoctoral Fellow - Google PiLab
Location: Mountain View, California
Term: 1yr 
Application deadline: Open until filled

Job Description: 
We are looking for a collaborative, enthusiastic, and curious researcher with expertise in  social network theory and methodology to join us for a 1- to 2-year postdoctoral fellowship  in the People Innovation Lab (PiLab). The fellow will work with the PiLab team to explore  and test questions related to team function and dynamics within Google, making use of 
extensive archival data about Google employees and their workplace interactions. Second,  the fellow will propose a research agenda that builds on these data, with the possibility of  publication in peer-reviewed journals. The fellow will gain broad exposure to Google and its  operations, particularly to its People Operations (Human Resources) function.

Ideal candidates have studied Sociology, Management, Strategy, Organizational Behavior,  Industrial/Organizational Psychology, or a related field. Candidates must have completed all  degree requirements prior to starting. This position is open to candidates with research  interests as well as to those with practical/clinical interests. The position is fixed-term for 
one year. While start date is flexible, priority will be given to candidates who can begin prior to July 1. Competitive compensation will be offered. 

The PiLab, part of Google’s People Analytics team, conducts academically rigorous research on a broad array of issues facing Google, often in collaboration with external academics.  PiLab members hold  Ph.D.s in I/O Psychology, Organizational Behavior (micro & macro), Decision Science, and related fields. The broader People Analytics team provides critical support to the business around issues of organizational health and is responsible for harnessing Googler feedback to drive change. To read more about our work, see articles in Slate Magazine ( and The Atlantic (

Work with existing social network data to propose and answer hypotheses related to team and organization functioning, dynamics and composition. 

Conduct advanced data analyses and manage large, complex data sets
Communicate findings and recommendations to leaders, technical and non-technical alike, influencing them to take action on those findings
Play a pivotal role in developing and managing groundbreaking research that addresses critical HR-related issues
Participate in the creation and operation of the PiLab's twice-yearly, longitudinal study, and analyze data as relevant

Completion of the requirements for a Ph.D., including submission and defense of thesis, prior to joining Google 
Superior statistical, analytical and data management skills (facility with R , SQL and Python a plus; training in these tools will also be made available)
Excellent communication skills, both written and verbal, to both academic and non-academic audiences
Eager to work collaboratively in a fast-paced, rapidly changing environment
Proven ability to creatively solve problems and effectively juggle multiple projects

How to apply
Please send CV and statement of interest to Jennifer Kurkoski (