The DCRLab

(A) About the DCRLab

The Dig Connectivity Research Laboratory (DCRLab) is an independent research laboratory striving 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. For this, we develop novel approaches and methodologies in close collaboration with practitioners and domain experts that enable unprecedented insights into complex systems. 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 exceptional model mining to Bayesian modeling, deep learning, representation learning, explainable AI, security and privacy, and human-computer interaction targeting top venues, including @CVPR @ISSTA @ICSE @ASE @ICSE besides journals. 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,  environmental change. Our current research can be accessed at Google Scholar. Stipends details are discussed only discussed to the potential researchers.  

(B) Prospective Researchers

If you are interested in the areas mentioned above, before reaching out, please ensure that you have the following attached.

1. Curriculum Vitae / Resume and and GitHub ID

2. Transcript (Bachelor or Master)

3. IELTS Score (Minimum 6.5 or TOEFL 80 and above cumulative)

4. Research Personal Statement

5. and others (awards, contest attendance) in one zipped file with no password

6. In your email, attach a brief research proposal with your interest

7. Please provide three (3) recent peer-reviewed articles or two (2) Tier-1 or four (4) Tier-2 or 3 conference papers in which you are the first author with their DoI. 

(C) I highly recommend the following candidates to join my lab: 

1.  Proactive, creative, and self-motivated character in working.

2. Strong background in mathematics, computer science, deep learning techniques and technical trends

3. Background knowledge in Networking, Security, Optimization, Artificial intelligence, Cyber-physical system modeling, and Computer Vision. 

4. Experience using at least one simulation tool (of your choice) in Python, Matlab, R, C#, or another.

5. Background in detection and estimation theory.

6. Strong oral and written communication skills.

(C) Benefits 

1. Work under my supervision and that of other DCRLab members.

2. Dealing with real-world problems and data from the industry

3. Provide enough computing resources, including GPU and/or cloud credits, for better research computation

4. Considered as a Ph.D. candidate with a priority depending on the intake

5. Will have strong recommendation letters for other jobs and universities (if needed)

(D) Application

Send the above documents and active GitHub and Scopus IDs to wasswashafik [at] dcrlab [dot] org with subject title [RA2025] - Your Name - your interest (one or two words). 

NOTE: If you don't hear from me after 2 weeks, please send us a follow-up email of the same email thread, not creating a new email.