Dear Colleagues,
I'm current guest editor on a Special Issue of the MDPI Journal of Applied Sciences. This is a journal with an impact factor of 2.474.
The aim of this Special Issue is to explore the re-engineering of engineering through the integration of advanced digital technologies. Research papers or case studies involving any discipline of engineering are welcome. Topics may include, but are not limited to, the following:
Full details of the Special Issue are online: https://www.mdpi.com/journal/applsci/special_issues/integrated_digital
I look forward to considering your submissions!
Lee
Dear Mechanician,
we are searching for excellent PhD candidates for the next 3-yrs PhD programme in Systems Science (Track Computer Science and Systems Engineering, research unit MUSAM on Multi-scale Analysis of Materials) of the IMT School for Advanced Studies Lucca (Lucca, Tuscany, Italy) to work on an interdisciplinary research topic across computational mechanics, materials science, optimization, and high-performance computing.
Deadline: August 3rd 2018 at 12.00pm (CEST)
Selection procedure: evaluation of applications based on merit and definition of a short-list of candidates for the interviews that will take place (in person or via skype) in the first half of September. Last year the success rate of applicants was about 1:100.
Official starting date of the activities: November 1st, 2018.
The whole PhD programme (150 hours of intensive classes) is taught in English, see https://www.imtlucca.it/phd/2018-19/computer-science for a full list of courses. PhD students will receive a scholarship from the Italian Ministry of Education, University, and Research (about 1000 Euro/month net amount) and will also benefit from free lodging in the IMT Campus, plus free meals in the canteen.
For the online application and for more details, see: https://www.imtlucca.it/phd/prospective/application (please select PhD programme in "Systems Science", Track Computer Science and Systems Engineering, research unit MUSAM in your form).
For a list of current research topics of the Research Unit MUSAM, please visit: http://musam.imtlucca.it/
For the experimental facilities available in the MUSAM-Lab, see: https://www.imtlucca.it/research/laboratories/musam-lab
Updates on the latest research achievements are available on the MUSAM facebook fan page: https://www.facebook.com/fanpagemusam/
The Department of Mechanical and Aerospace Engineering at Syracuse University invites applications for a faculty position at the rank of tenure-track assistant professor. Applications in all subject areas of mechanical and aerospace engineering will be considered, particularly those with primary research interests in engineered systems that seamlessly integrate computational algorithms and physical components (cyber-physical systems). The successful candidate will participate in all aspects of the Department’s mission, including development of an independent, externally funded research program; teaching undergraduate and graduate courses in mechanical and aerospace engineering; supervision of graduate and undergraduate students; and service responsibilities.
The department has close ties with other departments and on-campus multidisciplinary centers, including the Syracuse Center of Excellence in Environmental and Energy Systems (SyracuseCoE), the Center for Advanced Systems and Engineering (CASE), Syracuse Biomaterials Institute (SBI) and Green Data Center. Researchers working at these centers are involved in several federally funded projects on topics that include unmanned systems, biomimetic systems, intelligent building control, data fusion and mining, communication systems and networks. In addition, New York state opportunities include the recent investment of $250 million for unmanned systems and cross-connected platforms in the central New York state region as part of the Upstate Revitalization Initiative, and the New York State Energy and Research Development Authority (NYSERDA) funding opportunities to develop smart building technologies.
For full consideration, applicants must complete an online Application at www.sujobopps.com and attach the application file to job number 073512. Required application materials consist of:
1) cover letter,
2) detailed resume or curriculum vitae,
3) a statement of teaching and research interests,
4) names and contact information of three references.
The initial screening of applications will begin on December 1, 2017; applications will be accepted until the position is filled. For information about the department, please visit http://eng-cs.syr.edu/our-departments/mechanical-and-aerospace-engineering/.
Syracuse and its surrounding areas offer a vibrant intellectual and cultural atmosphere, a diverse community, excellent public education systems, affordable homes, and many other assets that make it a great place to live and work. Syracuse University is an affirmative action/equal opportunity employer and is dedicated to enhancing community and scholarly pursuits through gender and ethnic diversity. Women and members of historically underrepresented groups are especially encouraged to apply.
We are currently looking for a top candidate to join the System Level Design group at CMU (www.ece.cmu.edu/~sld/), as a Postdoctoral Associate, starting Spring 2013. Main responsibilities involve work on modeling and control of stochastic micro-robotic swarms targeting biological applications.
The on-going research behind this position aims at developing a new computational framework for characterizing dense networks of bacteria propelled microrobotic swarms targeting diagnostic and drug delivery, as well as computational approaches for cellular communication. Developing this framework involves inter-disciplinary work towards understanding this class of cyber-physical systems which operate under uncertainity conditions, yet are able to perform specified tasks through self-organization and collective behavior.
Candidates should have a Ph.D. in a relevant area (e.g., robotics, control, computer science/engineering, statistical mechanics, applied math/physics, etc.), excellent analytical and communication skills, ability to work in an interdisciplinary team. Prior experience with C++/Matlab, complex and network modeling are very important too.
Interested candidates should send their CV, research statement, and questions to Prof. Radu Marculescu (radum@cmu.edu)