Research Assistantship Opportunities
Research assistantship opportunities Heading link
Research assistantship opportunities for PhD students
Research assistantships correspond to either a 25% appointment (10 hours/week) or a 50% appointment (20 hours/week) and are associated with a tuition fee waiver. Interested applicant should contact the appropriate faculty member and send, at a minimum, a copy of their CV, a brief description of their interests, and related experience. Visit our ECE lab index to learn about all department labs, learn more about UIC’s graduate admission policies and application deadlines.
Displaced Ukranian scholars Heading link
Current opportunities Heading link
Professor Shantanu Dutt
Professor Shantanu Dutt, email@example.com.
RA Position in the Design Automation and Reconfiguration Technology Lab for PhD in EDA/VLSI-CAD algorithm design for automating chip design with a focus on power and energy optimization; we also address other issues such as timing and yield b optimization. Note that this is not a hardware/VLSI circuit design area, and it is a very algorithmic area (whose application is automated VLSI/chip design) that requires ingenuity, creativity, and analytical ability to design innovative and effective algorithms, and programming skills to implement these algorithms. There is a significant demand in industry (e.g., Cadence, Synopsys, Mentor Graphics, Intel, Xilinx, and IBM) for PhDs in EDA.
Assistant Professor Shuo Han
Assistant Professor Shuo Han, firstname.lastname@example.org
The Control Systems Group Laboratory is looking for self-motivated PhD students for Fall 2022. Our research focuses on the analysis and design of algorithms for online decision making in multi-agent systems. We welcome applicants from all areas of science and engineering with a strong mathematical background. Knowledge in control theory and/or mathematical optimization is a plus.
Professor Sudip Mazumder, email@example.com
The Laboratory for Energy and Switching-Electronic Systems is seeking qualified PhD student with a background in power electronics with demonstrated skills in power electronics hardware, and real time control realization, and resilient control and communication. The student should have good academic standing; candidates with a Master’s degree preferred.
Assistant Professor Mesrob Ohannessian
Assistant Professor Mesrob Ohannessian, firstname.lastname@example.org
Funded positions are available for one or both of the following PhD projects: guaranteeing that algorithmic decisions are fair and equitable, and doing so with imperfect data and in complex and dynamically changing environments; and designing and analyzing learning algorithms that adapt to structure in data, with applications to natural language processing and computer vision. Both positions require mathematical maturity (real analysis, probability, and linear algebra). Knowledge of the foundations of statistics and machine learning and solid programming skills are desirable.
Assistant Professor Inna Partin-Vaisband
Assistant Professor Inna Partin-Vaisband, email@example.com
The HiPerCAS Research Team (http://hipercas.lab.uic.edu) is hiring curious and motivated PhD students for two fully-funded research positions for Fall 2022 and Spring 2023 semesters.
Learning Enabled VLSI EDA Position at the intersection of data science, VLSI design automation, and hardware security. Minimum qualifications include a Master’s degree. in EE, ECE, CE, or CS (exceptional students with a Bachelor’s degree and research experience will be considered); strong analytical skills and data science knowledge, advanced coding skills in Python, C/C++, or MATLAB, and excellent written and verbal communication skills. Preferred candidates will have a strong background in VLSI EDA, hands-on experience in developing and training generative adversarial models, reinforcement learning, and/or graph embedding; familiarity with VLSI place and route algorithms, and published research.
Analog IC Design for ML Acceleration: a fully-funded research position in the area of analog IC design for ML acceleration at the edge. Minimum Qualifications include a Master’s degree in EE, ECE, CE, or CS (exceptional students with a Bachelor’s degree and research experience will be considered), strong analytical and circuit design skills, hands-on experience with Cadence, fundamental coding skills in Python, C/C++, or MATLAB, and excellent written and verbal communication skills. Preferred candidates will have a background in machine learning, hands-on experience in analog circuit design and ML ICs , and published research.