GRADUATE  PROGRAMS

Seeking: 1 M.S. and 1 Ph.D. students

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

Topics: Polymer science, Soft-tissue

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

Ideal Candidate

Prior research experience in biomaterials, tissue engineering, and drug delivery.

ID: 50

Interested in this Opportunity? E-mail: sangamesh.kumbar@uconn.edu | engr-grad@uconn.edu

---

Seeking: 1 M.S. and 1 Ph.D. students

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

Topics: Wearable electronics, Biosensors, Soft-tissue

URL: https://hoshinolab.uconn.edu/

Ideal Candidate

A candidate should have a broad interest in biomedical engineering. I expect to have a student who is eager to open up a new research field by learning multidisciplinary study topics. In particular, I study the interaction between tissue engineering and robotics.

ID: 51

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

---

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: general 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: general 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

---

Graduate student stipends are available and we are still actively recruiting additional students for Fall 2023 for the Civil and Environmental Engineering department.

Interested Suggesting an Opportunity? E-mail us at engr-grad@uconn.edu

---

 

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: 3 M.S. or Ph.D. students

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

Topics: Scheduling, Networks

URL: https://weizhang-gb.github.io/

Ideal Candidate

We are seeking a hard working, strong coding skills, self-motivated, very familiar with linux environment. In these research areas, you will practice a lot about system design, advanced technology, coding, reading large code base, critical thinking, analysis, debug, experiment design and evaluation. You will build solid system technology with your hard working.

ID: 48

Interested in this Opportunity? E-mail us at wei.13.zhang@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: 1 to 3 Ph.D. (pending grand approval) students

Candidates Sought: CSE Ph.D.

Topics: Data Analytics

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

Ideal Candidate

Proficient in statistics, probability, calculus, and computer science. Being self motivated is very important, as is working independently and also in a group.

ID: 45

Interested in this Opportunity? E-mail us at derek.aguiar@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. 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: 1 to 2 M.S., Ph.D. students

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

Topics: soft-tissue, modling

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

Ideal Candidate

Student should have strong math and analytical skills, be interested in soft-tissue mechanics for medical applications, and be independent and self motivated.

ID: 39

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

---

Seeking: 4 Ph.D. Students

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

Topics: modeling, Computational fluid dynamics and high-performance computing, soft-tissue, polymer science

URL: https://tarakanovagroup.org

Ideal Candidate

Applicants must have a strong (Python) coding background; background in mechanical engineering, biochemistry, computer science or related fields. Experience in doing computational work (may include running simulations; programming experience) Interest/experience in molecular biology/biochemistry

ID: 40

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

---

Seeking: 2 Ph.D. students

Candidates Sought: ME Ph.D.

Topics: Multiphase detonation modeling, fire modelling, Computational fluid dynamics and high-performance computing, Aerospace propulsion systems, Turbulent combustion modeling

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

Ideal Candidate

Our ideal candidate will be a self motivated student with strong interest in aerospace propulsion and computational studies. Interest in computing and mathematics is also welcomed. Students will interact with world leading experts in CFD and combustion, while interacting with a strong group of top notch researchers.

ID: 41

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

---

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

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

Topics: Flexible electronics, electroactive materials/devices, soft-tissue, Manufacturing, Wearable electronics, Polymer science, High voltage engineering­­­

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

Ideal Candidate

Looking for students who are curious and driven, and want to learn more about a highly interdisciplinary topic - soft robotics. Past research or industry experience would be great. Good fundamental knowledge of one key area between Materials Science, Electrical and Mechanical Engineering is preferred. Other backgrounds welcome too, including Chemistry, Physics, Biomedical and Chemical Engineering.

ID: 52

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

---

Seeking: 2 Ph.D. students

Candidates Sought: ME Ph.D.

Topics: Computational Design, Optimization

URL: http://cdl.engr.uconn.edu

Ideal Candidate

Our ideal candidate should possess the following:

• a firm background in mathematics and engineering;
• strong computer programming skills, and familiarity with at least one high level programming language;
• outstanding communication skills.

ID: 55

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

---

Seeking: 2 Ph.D. students

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

Topics: crash; vehicle;modeling, Optimization, Manufacturing, Structural Engineering

URL: https://www.orbilal.com

Ideal Candidate

Ph.D. applicant are preferred, but M.S. students with only a B.S. are also encouraged to apply! Our lab of Wave Engineering for eXtreme and Intelligent matTEr (We-Xite) has multiple openings for Ph.D. positions. We are looking for exceptional and highly motivated candidates with background in Engineering, Physics, Materials or Mathematics. The research will have a balance between experimental characterizations (non-destructive evaluation of samples fabricated using additive and subtractive methods), numerical simulations (finite element modeling) and analytical derivations (nonlinear dynamics of spring-mass systems).

ID: 58

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

---

Seeking: 6 Ph.D. students

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

Topics: Transportation data systems, Production systems, Safety, Aerospace propulsion systems, Transportation Systems Engineering, Manufacturing, Transportation, Safety data integration and analysis, Scheduling, STEM Workforce;, Education Outreach, Data Analytics, Networks, Remote sensing and geographic information systems, Optimization, Engineering Education, Computational fluid dynamics and high-performance computing, Intelligent Transportation Systems, safety;, vehicle;, modeling, Operations Research

URL: https://iase.engr.uconn.edu/ m

Ideal Candidate

Our ideal candidate should have strong analytical and computation skills; interest in system analysis, modeling, optimization, and simulation; interested in research working with corporate partners and national labs. In addition, the ideal candidate will have an opportunity to work with world-class faculty, research supported by advanced Global engineering and technology companies (like Raytheon, Lockheed Martin-Sikorsky, Pratt & Whitney, Carrier, Collins Aerospace, General Dynamics, Electric Boat, J&J) advanced research supported by national laboratories and federal funding agencies (U.S. DOE, AFRL, Navy, NREL, NSF, etc.). A chance to work in a interdisciplinary, collaborative environment. Multiple research assistantships available for most qualified students.

ID: 59

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

---