Postdoc, Causal ML & Time-Series Research

The Chronicle Of Higher Education, Inc.; Baltimore (MD); On-site; USD 63,500 - 75,000; Full time

Benefits offered by this job

Total rewards package supporting health, life, career, and retirement

Job summary

The Chronicle Of Higher Education, Inc. is seeking highly motivated postdoctoral scholars for the CausalML lab at Johns Hopkins University in Baltimore. You will develop algorithms for causal decision-making, working closely with lab members.

The ideal candidate holds a PhD in a relevant field and possesses strong publication credentials. This full-time role offers an initial 12-month appointment, with potential for extension based on performance.

Qualifications

• PhD in Computer Science, Statistics, Electrical Engineering or related field.
• Strong publication record in peer-reviewed venues relevant to ML or AI.
• Strong understanding of fundamental causal inference and causal discovery algorithms.

Responsibilities

• Join the CausalML lab at Johns Hopkins University for research.
• Lead research projects independently from concept to implementation.
• Develop algorithms for causal decision-making using real-world datasets.

Skills

Algorithm development for non-IID or time-series data

Strong publication record in peer-reviewed venues

Understanding of causal inference and discovery algorithms

Proficiency in Python and deep learning

Teamwork skills in interdisciplinary environments

Education

PhD in Computer Science, Statistics, or related field

Job description

The Chronicle Of Higher Education, Inc. is seeking highly motivated postdoctoral scholars for the CausalML lab at Johns Hopkins University in Baltimore. You will develop algorithms for causal decision-making, working closely with lab members.

The ideal candidate holds a PhD in a relevant field and possesses strong publication credentials. This full-time role offers an initial 12-month appointment, with potential for extension based on performance.