Seeking: 1 to 2 graduate students

Candidates Sought: BME M.S.

Topics: Polymer science

URL: https://www.ims.uconn.edu/

Ideal Candidate

• Self-motivated
• Good communication skills
• Good lab skills

ID: 46

Interested in this Opportunity? E-mail us at luyi.sun@uconn.edu | engr-grad@uconn.edu

Seeking: 1 to 2 Ph.D. students

Candidates Sought: CBE Ph.D.

Topics: Membrane Separations, Polymer science, Manufacturing, Desalination, Nanofiltration, Electrospinning, Forward osmosis, Water treatment

URL: https://ccast.uconn.edu/

Ideal Candidate

We are looking for self-starters with an ability to work independently. Candidates should feel comfortable with making decisions on their own with confidence and not be afraid to make mistakes. Students seeking a position in our lab should also be comfortable with working in a diverse and collaborative environment.

ID: 53

Interested in this Opportunity? E-mail us at jeffrey.mccutcheon@uconn.edu | engr-grad@uconn.edu

Seeking: 1 to 2 Ph.D.

Candidates Sought: CBE Ph.D.

Topics: Biochemical Engineering, Metabolic Engineering, Biotechnology, Systems Biology

URL: https://chemical-biomolecular.engr.uconn.edu/

Ideal Candidate One who has either experimental or computational experience/interest in biochemical engineering, metabolic engineering, systems biology, and/or computational biology.

ID: 54

Interested in this Opportunity? E-mail us at rs@uconn.edu | engr-grad@uconn.edu

Seeking: 1 Ph.D.

Candidates Sought: CBE Ph.D.

Topics: Biochemical Engineering, Metabolic Engineering, Biotechnology, Systems Biology

URL: https://chemical-biomolecular.engr.uconn.edu/

Ideal Candidate Looking for PhD candidate who want to work in an experimental, chemical engineering lab environment and have a strong interest in clean energy.

ID: F2023-Valla

Interested in this Opportunity? E-mail us at ioulia.valla@uconn.edu | engr-grad@uconn.edu

Seeking: 1 Ph.D., 2 M.S.

Candidates Sought: CBE Ph.D., CBE M.S.

Topics: Green biorefining, biomanufacturing, food engineering

URL: https://chemical-biomolecular.engr.uconn.edu/ and https://nusc.uconn.edu/mingyu-qiao/

Ideal Candidate: My program is very multidisciplinary and focuses on real-world hot topics in sustainable food and agriculture systems. Also, my project is currently funded by NSF and students have a higher chance of getting NSF fellowships or matching funds (US citizens/permanent residents). Students will also have the opportunity to get systematic entrepreneurship training to found or participate in startup companies based on the projects they work on.

ID: F2023-Qiao

Interested in this Opportunity? E-mail us at mingyu.qiao@uconn.edu | engr-grad@uconn.edu

Seeking: 1 Ph.D.

Candidates Sought: CBE Ph.D.

Topics:  Safety, STEM Workforce, Education Outreach, Engineering Education

URL: https://chemical-biomolecular.engr.uconn.edu/

Ideal Candidate: We are looking for people who want to ask critical questions about engineering and engineering education. An interest in energy justice and the energy transition is preferred. Candidates should feel comfortable with making decisions on their own with confidence and not be afraid to make mistakes. Students seeking a position should be comfortable with working in a diverse and collaborative environment.

ID: F2023-Ozkan

Interested in this Opportunity? E-mail us at desen.ozkan@uconn.edu | engr-grad@uconn.edu

Seeking: 1 to 2 Ph.D.

Candidates Sought: Biomedical Engineering Ph.D., Chemical and Biomolecular Engineering Ph.D.

Topics:  Biotechnology, Biotherapeutics, Antibody Engineering

URL: https://chemical-biomolecular.engr.uconn.edu/

Ideal Candidate: Those with a Chemical Engineering or Biomedical Engineering background who are interested in studying neurodegenerative disease, such as Alzheimer's disease and Parkinson's disease. Those who enjoy wet lab environment and are interested in learning biotechnology, molecular biology, and cell culture. Prior experience in these areas are not required, but those who are passionate on studying the cause of these diseases and developing biotherapeutics would be ideal.

ID: F2023-Cho

Interested in this Opportunity? E-mail us at cho@uconn.edu | engr-grad@uconn.edu

Seeking: 1 Ph.D student

Candidates Sought: CEE Ph.D.

Topics: Structural Engineering, Neurodiversity, Education Outreach

Project Description: The research is a multi-phased approach to advance the implementation of UHPC in the repair of deteriorating CMP culverts. The first phase is a proof-of concept approach to determine the viability of using UHPC shotcrete or pumping to repair corrosion damaged CMP culverts. This includes large scale mockups to determine constructability constraints as well as design and construction support for a pilot application.

URL: https://cee.engr.uconn.edu/

Ideal Candidate

The ideal candidate for this position will have a strong interest in ultra-high performance concrete (UHPC), bridge inspection, and bridge repair techniques. They will be eager to work on projects in collaboration with the Connecticut Department of Transportation (CTDOT) and contribute to the development and implementation of innovative solutions for maintaining and enhancing the safety and longevity of transportation infrastructure.

Interested in this opportunity? E-mail us at alexandra.hain@uconn.edu | engr-grad@uconn.edu

ID: 2023-05-10.11.18

Seeking: 1 M.S. or Ph.D student

Candidates Sought: CSE M.S., CSE Ph.D.

Topics: Data Analytics

URL: https://www.cse.uconn.edu/

Ideal Candidate

We need to recruit a PhD student for an NIH award entitled", “A Versatile Approach for Highly Multipled, High Resolution Imaging of Endogenous Molecules.” The goal of the project is using AI to analyze high-throughput high-resolution mouse brain microscopy images. The tasks include developing and implementing algorithms for a user friendly user interface, image registration, image segmentation and 3D image reconstruction.

ID: 44

Interested in this Opportunity? E-mail us at sheida.nabavi@uconn.edu | engr-grad@uconn.edu

Seeking: 1 M.S. and 1 to 2 Ph.D. only (post-M.S.) or else 2 to 3 M.S.-Ph.D. students

Candidates Sought: CSE M.S., CSE Ph.D.

Topics: information ecosystem, AI ethics, fairness & safety perspective, social networks

URL: https://infothreats.cse.uconn.edu/

Ideal Candidate

We are seeking proactive, curious prospective PhD students who get things done, to join the Reducing Information Ecosystem Threats (RIET) Lab.

Required qualifications:

Either:

• Undergraduate degree in CS/CSE; or
• Undergraduate degree in related field (math/stats/ECE) with demonstrated programming experience
• A can-do attitude
• A willingness to ask questions and let go of preconceived assumptions

Preferred (but *not* required) qualifications:

• A strong background in either machine learning, information retrieval and/or natural language processing
• Industry experience

Research experience optional but preferred; and strongly preferred for those applying to PhD-only (ie, applicants who hold a masters degree).

ID: 56

Interested in this Opportunity? E-mail us at shiridh@uconn.edu | engr-grad@uconn.edu

Seeking: 2 to 3 Ph.D students

Candidates Sought: ECE Ph.D.

Topics: Scheduling, Data Analytics, Optimization, Grid Protection, hardening and asset management, modeling, Operations Research

URL: https://www.ee.uconn.edu/

Ideal Candidate

We are looking for highly self-motivated students for multiple fully-funded Ph.D. positions in the School of Electrical and Computer Engineering at the University of Connecticut.

• One immediate Ph.D. position on a funded project related to grid resilience and optimization modeling. (Students who are already in the U.S. are preferred)
• Multi-Ph.D. positions starting in the Fall of 2023. (Students from either domestic or international are welcome) Candidates with a strong background in power system optimization (including OPF and unit commitment), grid resilience, and machine learning, are encouraged to apply.

Candidates with a strong academic record and coding experience on Julia, Cplex solver, Matpower, and Matlab are preferred. The successful candidate will work on real-world projects in collaboration with industry partners and national labs. If you are interested, please send your CV, GRE and TOEFL scores, and publication sample to zongjie.wang@uconn.edu with the title "Name+Starting time".

ID: 42

Interested in this Opportunity? E-mail us at zongjie.wang@uconn.edu | engr-grad@uconn.edu

Seeking: 1 to 2 Ph.D. students

Candidates Sought: ECE Ph.D.

Topics: power and energy, machine learning, optimization, and control

URL: https://cpes.lab.uconn.edu/openings/

Ideal Candidate

Our ideal candidate will have a background in the areas of power and energy, machine learning, optimization, and control. In additionl strong oral and written communication skills, (3) good programming skills and familiarity with one or more of the following tools: Python, MATLAB, OpenDSS, PSSE/PSLF, Hardware in the loop simulator

ID: 43

Interested in this Opportunity? E-mail us at junbo@uconn.edu | engr-grad@uconn.edu

Seeking: 1 to 2 Ph.D. students

Candidates Sought: ECE Ph.D., ME Ph.D.

Topics: Production systems, Manufacturing, Education, Outreach, Optimization, Engineering Education, vehicle, modeling, Operations Research

URL: https://iase.engr.uconn.edu/person/amy-thompson/

Ideal Candidate

Students interested in doing systems engineering research, digital engineering research, or manufacturing research related to complex systems and complex development projects.

ID: 57

Interested in this Opportunity? E-mail us at amy.2.thompson@uconn.edu | engr-grad@uconn.edu

Seeking: 1 Ph.D. student

Candidates Sought: ECE Ph.D.

Topics: Missile defense, probability theory

Ideal Candidate

Very high competence in math and signals/systems - UG GPA >3.5. US citizenship required for DARPA/MDA project. Missile defense - new algorithms based on advanced probability theory.

Interested in this Opportunity? E-mail us at Yaakov.Bar-Shalom@uconn.edu | engr-grad@uconn.edu

Seeking: 2 Ph.D. students

URL: mosis.uconn.edu

Ideal Candidate

Applicant must have an Electrical Engineering undergraduate degree. I prefer a MS degree in ECE with focus on optical imaging, image processing, or optical imaging

Interested in this opportunity? E-mal us at bahram.javidi@uconn.edu | engr-grad@uconn.edu

Seeking: 1 Ph.D. or M.S. student

Candidates Sought: BME M.S., BME Ph.D., MSE M.S., MSE Ph.D.

Topics: Polymer science, Organic Solvent, Soft-tissue, Engineering, Education, Electrospinning

Ideal Candidate

OUR FOUNDATIONAL PRINCIPLES
Innovation

The Connecticut Convergence Institute believes that regenerative engineering offers solutions and hope for people who have ailments that today are beyond repair.

Education

The Connecticut Convergence Institute is committed to promoting the professional development of UConn faculty and students, embracing the diversity of human talent in our communities.

Collaboration

The Connecticut Convergence Institute is committed to collaboration, serving as a bridge across the wide range of disciplines dedicated to regenerative engineering research.

Community

The Connecticut Convergence Institute believes that interactive community engagement is fundamental to the fulfillment of its societal commitment to the resilience of human function.

AREAS OF FOCUS
The grand challenge to regenerate complex tissue and organ systems calls for a paradigm shift that requires a transdisciplinary approach. The field of regenerative engineering uses a convergence approach to create a regenerative toolbox to move beyond individual tissue repair to the regeneration of complex tissues and organ systems. The Connecticut Convergence Institute has defined regenerative engineering as a new field that convergences advanced materials sciences, stem cell sciences, physics, developmental biology, and clinical translation to foster scientific innovation.

Embedded in this new field include the following 5 areas:

Advanced Materials Sciences

The field of materials science has significantly advanced from the level of biodegradable polymers and ceramics to custom designed biomimetic inductive biomaterials with carefully modulated physical, mechanical, and biological properties to enhance the natural regenerative process of the body.

Stem Cell Sciences

The progress in the field of stem cells research represents great scope in regenerative engineering.

Physics

Physical forces play a subtle but crucial part bio-fitness and resilience.

Developmental Biology

Principles found in embryological development and in developmental morphogenesis will ultimately be critical for addressing grand challenges in regeneration.

Clinical Translation

The growing evidence of achieving better functional outcomes in larger animals using a biomaterial approach compared to smaller animals mirrors the translational potential of inductive biomaterials.

ID: 49

Interested in this Opportunity? E-mail us at dghosh@uchc.edu | engr-grad@uconn.edu

Seeking: 2 Ph.D. students

Candidates Sought: MSE Ph.D.

Topics: microscopy, applications of machine learning, Transmission Electron Microscopy, Scanning Electron Microscopy and Focus Ion Beam

URL: https://zhu.mse.uconn.edu/research/research_catalysis/ and https://zhu.mse.uconn.edu/research/research_materials-degradation/

Ideal Candidate

Applicants with experiences in Transmission Electron Microscopy and/or Scanning Electron Microscopy and Focus Ion Beam are particularly desirable. We are seeking motivated Ph.D. students for projects focusing on applications of machine learning to microscopy. Students with prior experiences in Transmission Electron Microscopy, Scanning Electron Microscopy and Focus Ion Beam, and computer vision are particularly desirable.

ID: 47

Interested in this Opportunity? E-mail us at yuanyuan.2.zhu@uconn.edu | engr-grad@uconn.edu

Seeking: 2 PhD or MS students; must be US citizens

Candidates Sought: materials science and engineering background

Topics: Metal additive manufacturing; alloy development, solidification behavior, naval and aerospace applications

URL: https://pwamc.uconn.edu/

Ideal Candidate: We seek students with interest in experimental research coupled with insight from theoretical metallurgy models. Experiments include, for example, alloy manufacturing (arc melting), laser glazing, operation of analytical equipment such as calorimeters. We implement theoretical models mostly with the help of math and thermodynamic software.

ID: 70

Interested? E-mail me @ rainer.hebert@uconn.edu