About the Opportunity

The RADLAB within the Network Science Institute and the Khoury College of Computer Sciences is seeking exceptional candidates for two postdoctoral positions.

The RADLAB, directed by Professor Tina Eliassi-Rad, has two main research programs:

1. Trustworthy Network Science: As the use of machine learning in network science grows, so do the issues of stability, robustness, explainability, transparency, and fairness, to name a few. We address issues of trustworthy ML in network science.

2. Just Machine Learning: Machine learning systems are not islands. They are part of broader complex systems. To understand and mitigate the risks and harms of using machine learning, we remove our optimization blinders and study the broader complex systems in which machine learning systems operate.

The focus of the position is to conduct basic and applied research at the interface of artificial intelligence and network science. Postdoctoral research associates should have the ability and desire to innovate. In addition, they are expected to interpret and publish results. They are also be expected to assist in the preparation of proposals and the supervision of students. However, their primary responsibility is to ensure that research objectives are met.

Deadline: The initial review date is January 15, 2024. Positions will remain open until filled.

Duration: One year with the possibility of extension for a further year upon successful performance review.

Start date: June 3, 2024 (The start date is flexible.)

Salary and benefits: Salary is competitive and commensurate with experience. The position comes with excellent benefits.

Responsibilities:

1) Assist in initiating, executing, and completing research and experiments.

2) Prepare and write research papers, grant proposals, presentations, etc.

3) Train and supervise graduate students.

4) Laboratory management.

Qualifications:

• A recent Ph.D. in computer science, network science, complex systems, statistics, applied mathematics, or related fields.

• Expertise in graph machine learning and graph mining.

• Experience in complex networks and complex systems.

• Strong interest in societal impact of STEM.

• Strong data science and computer programming skills.

• Strong communication skills.

• Ability to work in a highly collaborative and interdisciplinary environment.

Applications should include:

1. Cover letter describing interests and qualifications.

2. Curriculum vitae.

3. Two peer-reviewed publications showcasing expertise and fit for the position.

4. Research statement (2-4 pages) summarizing research achievements and agenda.

5. Service statement (1-2 pages) summarizing service, mentoring, and outreach activities.

6. Names and contact information of three letter writers.

7. Links to your professional webpage and Google Scholar page.

About Khoury College:

Khoury College is committed to building a diverse and inclusive community among students, faculty and staff. We strongly encourage applicants from underrepresented groups, individuals with disabilities, veterans, and those with diverse experiences and backgrounds. We invite you to join a fast-moving, ambitious college with an underlying mission that is driven by our motto of “CS for Everyone.”

Position Type

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

To learn more about Northeastern University’s commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.