Currently Hiring

The RIET lab is currently hiring for the following roles:

1. Administrative Assistant (Student position)
2. PhD Student with fully-funded Assistantship

Details on each position are below.

About Us: The Reducing Information Ecosystem Threats (RIET) Lab researches some of the most vexing threats to democratic nations, including disinformation, weaponized controversy, trust erosion on- and offline, and botnets, from a computational perspective. We use state-of-the-art technologies and collect petabyte-scale datasets from social networks. Our research focuses on threats to the information ecosystem online and to healthy public discourse from an information retrieval lens, informed by insights from the social sciences. Upcoming projects address the connections between m/disinformation and weaponized controversy, online and in social networks; and utilizing cybersecurity and graph theoretic approaches to detect malicious actors. Additionally, our research addresses fairness and bias in medicine. The RIET lab tackles these research questions from an AI ethics, fairness & safety perspective.

1. Administrative Assistant (Student position)

Please note: This position is only open to current UConn students. Please do not apply if you are not currently a student at UConn.

The Reducing Information Ecosystem Threats (RIET) Lab is seeking an assistant who will work directly with Prof. Dori-Hacohen as well as with our Research Assistants and external partners. You will have a chance to greatly improve our lab’s research output, thus having an incredibly high impact on some of the world’s most challenging problems. You will have a fair amount of autonomy on when and how to work within the scope of the lab’s needs. You will also be exposed to cutting edge research ideas and programs. 

Your tasks will include analyzing and tracking funding and publication opportunities, assisting in prioritization, keeping a close eye on a large number of (sometimes competing) deadlines, managing email & scheduling meetings, providing daily email and calendar digests, flagging key/urgent emails, and coordinating with other partners for scheduling and collaboration purposes. 

Job requirements: Reliable, conscientious, detail-oriented, flexible, self-motivated and able to self-manage, calm under pressure; being a good listener is a plus. Familiarity with GSuite required; familiarity with Outlook/Teams, Slack, Evernote, and/or GTD preferred. Undergraduate or MS students (only at UConn!) will be considered.

For the official listing of this position, see: https://www.cse.uconn.edu/student-administrative-assistant-position/

To apply, please:

  1. Submit your application through the UConn job board.
  2. Fill out this Google form. Please note that you must be logged into your UConn Google account in order to fill the form.
  3. Email shiridh AT uconn.edu with the subject line: “Admin Assistant application: your-full-name.” In the body of the email, please confirm that you have done steps 1 & 2 above.

Applications missing either one of these components will not be considered.

2. PhD Student with fully-funded Assistantship

I am seeking proactive, curious prospective PhD students who get things done, to join the Reducing Information Ecosystem Threats (RIET) Lab.

Come work with me on some of the most vexing threats to democratic nations, including disinformation, weaponized controversy, trust erosion on- and offline, and botnets. Use state-of-the-art technologies and help collect petabyte-scale datasets from social networks.

My research focuses on threats to the information ecosystem online and to healthy public discourse from an information retrieval lens, informed by insights from the social sciences. Upcoming projects address the connections between m/disinformation and weaponized controversy, online and in social networks. Additionally, my work addresses fairness and bias in medicine. My lab tackles these research questions from an AI ethics, fairness & safety perspective.

Underrepresented minorities and diverse applicants in computer science (with diversity broadly defined) are particularly invited to apply.

PhD students will be fully funded throughout their studies.

Before you apply: review the UConn CSE admissions requirements and ensure that you meet these requirements.

To apply, please:

  1. Submit your application through the UConn system.
    • Applications will be considered on a rolling basis.
    • To be considered for the nearest admission cycle, you must submit your application through the UConn system no later than the official admissions deadline (see this link), and preferably much earlier.
    • In your application, select my name when asked about faculty members you are interested to work with.
  2. Email shiridh AT uconn.edu with the subject line “PhD application: your-full-name“. In your email, please:
    • Attach your resume and personal statement.
    • Include the names and contact information of your three references.
    • Include publication citations and link or full text to the publication(s), if you have any.
    • Confirm that you have reviewed the UConn CSE admissions requirements, and that you have submitted your application through the UConn system.

Applications missing either one of these components will not be considered.

Before emailing me with questions, please check this list of frequently asked questions, which which may address them.