PhD Student Needed for Machine Learning (Deep Learning and Classical) in Molecular Biology

Several openings are available immediately (or as late as Fall 2022)

Looking for a highly motivated PhD student for Computational Biology research, with an algorithm development focus. The Ecological and Evolutionary Signal-processing (EESI) and Informatics lab is doing a restart from the pandemic and will be composed of a dynamic, interdisciplinary team. The projects that the student will support will be a) deep learning architectures for DNA/transcript interpretation and explainable features of microbiome to phenotype correlations and 2) designing online semi-supervised clustering and classification techniques. Also, there is an emphasis on algorithm efficiency analysis and optimization — so great programming skills are required. Former lab members have gone on to work in prestigious data science jobs in industry, medical research labs, and one at a tenured position at a university. A PhD in EESI will easily lead to a fruitful career in data science development and research at top notch institutions.

Position Requirements:

• B.S. in Computer Engineering, Electrical Engineering, Computer Science, or related field       
• Proficiency in Python

• Basic UNIX/Linux knowledge but willing to learn

           Comfortable with the Linux command line interface (pipelines, sed, grep, awk, etc.)
           Some familiarity with command line development tools: make, cmake, git
  

Preferred Skills:

• Masters of Science in a related field
• Experience with programming (C/C++)
• Experience with distributed computer architectures and
  working with containers
• Knowledge of (GP)GPU programming and CUDA
• Familiarity with building open source software (GNU-style configure
  and make, etc.)
• Familiarity with Machine Learning

Email glr26 AT drexel dot edu