麻省大学Lowell分校招收2名ME RA全奖博士生 - 先进制造及脑机接口 (Spring/Fall 2021)
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Dr.Lei Chen's Manufacturing Innovation and Neural Interface (MINI) lab at theUniversity of Massachusetts Lowell (UMass Lowell) is looking for 2 Ph.D.students in the area of advanced manufacturing and interdisciplinaryresearch on next generation brain-machine interface. The candidates willreceive full funding (tuition, stipend, and benefits) under NationalInstitutes of Health and Department of Mechanical Engineering at UMass Lowell.The positions are available starting January 2021 and will stay openuntil filled.
UMassLowell is a nationally-ranked public research university in Lowell, MA. Lowellis known as the cradle of the American Industrial Revolution, due to a largeseries of historic textile mills and factories, located 25 miles northwest ofBoston. The Chronicle of Higher Education ranks UMass Lowell as the fastest-growingpublic doctoral university in New England and the fifth-fastest growing in theU.S. It is also the second-fastest rising institution in the nation and ranked13th for intellectual property generated.
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Researchof the lab will be focusing on three major areas:
(1)Advanced and smart manufacturing processes: generation of theoreticaland fundamental understandings of advanced smart manufacturing processes (bothadditive and subtractive) through innovative monitoring methods, numericalmodelling, data analysis, and collaborations with industry.
(2)Biomedical manufacturing: application of advanced design algorithm andmanufacturing technology to advance the safety, quality, cost, efficiency, andspeed of healthcare service.
(3)Brain-machine interface / Neural interface: manufacturing technology andcutting mechanics driven development of the next generation neural interfacefor large-scale chronic communication between our natural intelligence and theartificial intelligence of a machine in the smart society era.
Eligiblecandidates should have a Bachelor or Master's degree inMechanical/Industrial/Biomedical Engineering or a closely related field. The successful candidate would be ahighly-motivated researcher with great hands-on skills, strong willingness tolearn, and excellent communication skills for broadly collaborative researchprojects with industry, healthcare, and neuroscience community. It is desirable that the candidate haspractical knowledge and experience in one or more of the following:
Computer-aideddesign (e.g. Solidworks), Computer-aided manufacturing, Additive manufacturing(3D printing), Machining, Mechatronics and robotics, Control, Materials andmechanics, Statistical analysis, Finite element analysis (e.g. Abaqus, ANSYS,COMSOL), Matlab/Python/C++/LabView programming,
Interested candidatesshould apply online and email resumesand statement of interest to [email protected].
- About the university
UMassLowell is a nationally-ranked public research university in Lowell, MA. Lowellis known as the cradle of the American Industrial Revolution, due to a largeseries of historic textile mills and factories, located 25 miles northwest ofBoston. The Chronicle of Higher Education ranks UMass Lowell as the fastest-growingpublic doctoral university in New England and the fifth-fastest growing in theU.S. It is also the second-fastest rising institution in the nation and ranked13th for intellectual property generated.
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- About the professor
- About the lab
Researchof the lab will be focusing on three major areas:
(1)Advanced and smart manufacturing processes: generation of theoreticaland fundamental understandings of advanced smart manufacturing processes (bothadditive and subtractive) through innovative monitoring methods, numericalmodelling, data analysis, and collaborations with industry.
(2)Biomedical manufacturing: application of advanced design algorithm andmanufacturing technology to advance the safety, quality, cost, efficiency, andspeed of healthcare service.
(3)Brain-machine interface / Neural interface: manufacturing technology andcutting mechanics driven development of the next generation neural interfacefor large-scale chronic communication between our natural intelligence and theartificial intelligence of a machine in the smart society era.
- Qualifications
Eligiblecandidates should have a Bachelor or Master's degree inMechanical/Industrial/Biomedical Engineering or a closely related field. The successful candidate would be ahighly-motivated researcher with great hands-on skills, strong willingness tolearn, and excellent communication skills for broadly collaborative researchprojects with industry, healthcare, and neuroscience community. It is desirable that the candidate haspractical knowledge and experience in one or more of the following:
Computer-aideddesign (e.g. Solidworks), Computer-aided manufacturing, Additive manufacturing(3D printing), Machining, Mechatronics and robotics, Control, Materials andmechanics, Statistical analysis, Finite element analysis (e.g. Abaqus, ANSYS,COMSOL), Matlab/Python/C++/LabView programming,
Interested candidatesshould apply online and email resumesand statement of interest to [email protected].
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