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The Department of Mechanical and Process Engineering (www.mavt.ethz.ch) at ETH Zurich invites applications for the above-mentioned position.

The new professor is expected to establish an ambitious, world-class research program in the field of sustainable engineering. We encourage applications from outstanding candidates with visible expertise in this broad field which ranges from sustainable materials engineering to green manufacturing. Successful candidates must demonstrate an excellent international record of research accomplishments with application to mechanical/aerospace structures and shall be able to leverage this knowledge to solve important engineering challenges such as designing consumer products with sustainable and durable materials, developing lightweight, robust and resilient structures, and conceiving energy-efficient, environmentally friendly, and low-waste manufacturing processes. Specific areas of research may include (but are not limited to): (i) engineering with composite materials emphasizing regenerative and sustainable solutions including natural, biodegradable, and recyclable materials as well as embedded multifunctionality at

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RSS Feed Source: Academic Keys

Synopsis

Science of Learning and Augmented Intelligence (SL) supports potentially transformative research that develops basic theoretical insights and fundamental knowledge about principles, processes and mechanisms of learning, and about augmented intelligence — how human cognitive function can be augmented through interactions with others or with technology, or through variations in context. 

The program supports research addressing learning in individuals and in groups, across a wide range of domains at one or more levels of analysis, including molecular and cellular mechanisms; brain systems; cognitive, affective and behavioral processes; and social and cultural influences. 

The program also supports research on augmented intelligence that clearly articulates principled ways in which human approaches to learning and related processes, such as in design, complex decision-making and problem-solving, can be improved through interactions with others or through the use of artificial intelligence in technology. These could include ways of using knowledge

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RSS Feed Source: Academic Keys

Job ID: 259360

Postdoc in Biomedical Engineering
Stevens Institute of Technology

Job Description

We are seeking a highly motivated postdoctoral researcher to lead the development of tissue bioreactors. The ideal candidate should have a strong background in bioinstrumentation, biomechanics, and/or tissue engineering and be capable of integrating innovative approaches to enhance bioreactor functionality. The Postdoc will work in a highly interdisciplinary environment.

Required Qualifications:

Ph.D. in biomedical engineering, mechanical engineering, or related disciplines. Outstanding communication skills (both oral and written). A record of publications and presentations. Ability to work effectively in a multidisciplinary and collaborative environment.

Preferred Qualifications:

Experience with design, characterization, and validation of biomedical devices. Hands-on experience in device fabrication and computer simulation. Experience in cell and tissue culture, processing, and analysis.

Responsibilities:

Develop and

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