At Dig Connectivity Research Laboratory (DCRLab)
We strive to engage in cutting-edge research to design and develop secure, reliable, and sustainable end-to-end solutions and systems. We are pioneering a data-driven future through research and solutions developed with trending technologies to solve and address real-world problems using deep learning techniques. You should be very motivated to catch up on the latest Tech advances in those areas. Students from all STEM disciplines (CS, ME, ECE, etc.) are welcome. You are supposed to be a proactive, creative, and self-motivated character in the workplace. Strong background in mathematics, computer science, deep learning techniques, and technical trends. Background knowledge in Networking, Security, Optimization, Artificial Intelligence, Cyber-physical system modelling, and Computer Vision. Strong programming experience with at least one tool (of your choice) in Matlab, Python, R, or Java. Background in logic, detection, and estimation theory would be a plus. This allows us to directly impact real-world scenarios like local patient populations or ecosystems, maximizing the translational and synergetic effects of our work. In this context, the main focus of our group is threefold:
understanding complex systems by extracting novel insights into their underlying processes,
modeling complex systems by integrating existing domain knowledge into machine learning methods, and
developing methods for knowledge management, representation, and interaction.
Our approaches range from multimodal learning, network analysis, and model mining to Bayesian modeling, deep learning, representation learning, explainable AI, security, and privacy through human-computer interaction, targeting top venues of research publication. Join us! We are looking for talented and self-motivated research assistants to work on groundbreaking, real-world problems in the context of high-impact applications like agriculture, healthcare, and environmental change.
Kindly ensure all of the following minimum requirements are fully met before reaching out — inquiries without prior preparation will not be considered:
Curriculum Vitae with active GitHub ID, Google Scholar, and Scopus profile links (Maximum 3 pages)
Academic Documents in English, if attained in other languages, attach the original and the translated version
IELTS Score (Minimum 6.5 or TOEFL 80), waived for those whose first language is English. (Note: This will be requested in case your application has passed the first screening)
Personal Statement (Maximum 1 page)
Research Statement (Maximum 1 page)
A brief research proposal with your interest (Maximum 4 pages) using this template.
Should have and share a full list of publications of any of the following, in which you are the first (lead) author with their DoIs:
(1) Two (2) recent (Q1) peer-reviewed articles
(2) Three (3) recent (Q2) peer-reviewed articles (in case one is closed access, that would be great)
(3) Two (2) Tier-1 conference papers
(4) Four (4) Tier-2 conference papers
(5) Six (6) other conference papers or book sections.
Application:
Send the above documents to info [at] dcrlab [dot] org with the subject title [RA(Year of Application)] - Your Name - your interest (one or two words), and we will schedule a meeting to explore opportunities. The lab team will get back to you once everything is confirmed.
NOTE:
If you don't hear from us after 3 weeks, please send us a follow-up email in the same email thread, not creating a new email.
If you are looking for an internship or research-related opportunity, fill in this form.
Disclaimer: This is to all applicants, all our communications are via and single email address (info [at] dcrlab [dot] org), and anything outside that does not represent the views and position of DCRLab, and NO funds are required before, during, or after.