Applications are invited for PhD positions at the Algorithms in Medicine and Neuro-Technology Lab (AIMAN Lab) in the Department of Mechanical Engineering at George Mason University, Fairfax, VA.

Research
The AIMAN Lab pursues fundamental breakthroughs in biomedical cyber-physical systems. The lab’s primary research focuses on application of mathematical modeling, controls and estimation theory, and machine learning in health information technology including decision support and automated care systems, with the intention of improving the quality of healthcare, as well as brain-computer interfaces to bring neuro-enhancements to the daily consumer.

Application
Interested researchers with passion in digital healthcare and neuroscience are encouraged to send their CV to Dr. Ramin Bighamian at rbighami@gmu.edu.

Qualification
Experience in controls engineering, estimation theory, machine learning, MATLAB
A Master's degree in mechanical engineering, electrical engineering, or other related disciplines.

The Department of Electrical Engineering at Stanford University (http://ee.stanford.edu/) invites applications for a tenure-track faculty appointment at the junior level (Assistant or untenured Associate Professor) in the broadly defined field of electrical and computer engineering. The department is especially interested in candidates in robotics, autonomous systems, embedded systems, signal processing, control, optimization, and machine learning. Priority, however, will be given to the overall originality and promise of the candidate’s work over any specific area of specialization.

Applicants should have an earned Ph.D., evidence of the ability to pursue an independent program of research, a strong commitment to both graduate and undergraduate teaching, and the ability to initiate and conduct research across disciplines. A successful candidate will be expected to teach courses at the graduate and undergraduate levels and to build and lead a team of graduate students in Ph.D. research.

Applications should include a brief research and teaching plan, a detailed resume including a publications list, and the names and email addresses of at least five references.

Candidates should apply online at http://ee.stanford.edu/job-openings. Applications will be accepted through November 15, 2018. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University's research, teaching and clinical missions.

The Department of Electrical Engineering at Stanford University (http://ee.stanford.edu/) invites applications for a tenure-track faculty appointment at the junior level (Assistant or untenured Associate Professor) in the broadly defined field of electrical and computer engineering. The department is especially interested in candidates in robotics, autonomous systems, embedded systems, signal processing, control, optimization, and machine learning. Priority, however, will be given to the overall originality and promise of the candidate’s work over any specific area of specialization.

Applicants should have an earned Ph.D., evidence of the ability to pursue an independent program of research, a strong commitment to both graduate and undergraduate teaching, and the ability to initiate and conduct research across disciplines. A successful candidate will be expected to teach courses at the graduate and undergraduate levels and to build and lead a team of graduate students in Ph.D. research.

Applications should include a brief research and teaching plan, a detailed resume including a publications list, and the names and email addresses of at least five references.

Candidates should apply online at http://ee.stanford.edu/job-openings. Applications will be accepted through November 15, 2018.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University's research, teaching and clinical missions.

Dear iMechanicians,

Let me invite you the 3rd International Conference on Material and Component Performance under Variable Amplitude Loading (VAL 2015) taking place in Prague, Czech Republic in March 23-26, 2015. See the details on its website http://www.val-conf.org.

The conference will discuss among others these primary questions:

1. Which load assumptions and standardized load sequences can be used to develop a particular machine?
2. What are the particular materials and manufacturing technologies and
   their impact on the final fatigue life under variable amplitude loading?
3. How can we calculate, evaluate and process the local stress and strain characteristics?
4. Which external effects on the final lifetime should we anticipate and
   take into account (environment, special events, spectrum shape,
   multiaxiality) when assessing the fatigue life or preparing fatigue
   tests?
5. How can we perform the testing and measurements, either in laboratory
   conditions or in-field (load control, damage detection, time reduction,
   active systems, etc.)?
6. How can we model variable amplitude fatigue with regard to crack nucleation or initiation and propagation?
7. Which design and analysis methods and tools can help us in the analyses?
8. How strong are the links between numerical assessments and
   experimental verification? Are there any benchmark studies for
   particular damaging models? Is it worth implementing the model or invest
   in buying the solution?
9. How might the reliability concepts be applied?
10. Are there any good / bad practice examples of industrial applications and may we draw any lessons from those case studies?

At this moment, the deadline for input of the abstract is set to June 2, 2014. We will let you know about the start of the registration, once it is ready.

Thank you for forwarding this information to anybody, who could be interested.

Best regards,

Jan Papuga and Milan Růžička

Chairmen of VAL 2015