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Posting Number 0624154 | www.jobs@virginia.edu 

The Department of Biomedical Engineering of the University of Virginia welcomes applications for two open-rank positions at the Assistant, Associate, or Full Professor levels in any research area. Rank, tenure status and compensation are dependent upon qualifications and experience. As one of the most established and influential programs in the country, the Biomedical Engineering Department at UVA is housed both in the School of Engineering and Applied Science and the School of Medicine. This unique positioning engenders a collaborative and translational research and teaching environment.

The candidates will join our exciting, collegial research environment, maintain an energetic and well-funded research program, and engage in teaching and mentoring of graduate and undergraduate students. Our established areas of research excellence include: medical imaging; tissue, cell, and molecular bioengineering; and computational systems bioengineering and data science. Prominent application areas at UVA include cardiovascular disease, immunology, cancer, drug delivery, neuroscience, and global health and infectious disease. Applicants conducting research in all areas of BME are encouraged to apply. In addition, we seek to recruit applicants with a respect for diversity and a passion for making a positive impact on the world in a collaborative environment. Details regarding our undergraduate and graduate programs are available at http://engineering.virginia.edu/bme.

A PhD and/or MD degree in Bioengineering/Biomedical Engineering or any other related field is required. To be competitive for a position at the rank of Assistant Professor, candidates should have outstanding potential for developing an independent research program. To be competitive for a position at the rank of Associate or Full Professor, candidates must be nationally recognized for their scholarship and research and have an outstanding teaching track record and commitment to education.

Centrally located in Virginia, Charlottesville boasts a thriving intellectual community and cultural life, with easy access to recreational venues and convenient travel to Richmond, and Washington D.C., which combine to make UVA a most desirable place to work. For more information about UVA and the surrounding area, please visit: http://uvacharge.virginia.edu/guide.html. UVA assists faculty spouses and partners seeking employment in the Charlottesville area. To learn more please visit http://provost.virginia.edu/dual-career.

Applicant review begins November 1, 2018; however, the positions will remain open until filled. To apply, visit http://jobs.virginia.edu and search for Posting Number 0624154. Complete a Candidate Profile online, attach a cover letter, curriculum vitae, letter of research interest and teaching goals, and contact information for three references. For questions about the position, please contact Serach Committee Chair Dr. Silvia Salinas Blemker via email at ssblemker@virginia.edu. For questions about the application process, please contact Savanna Galambos via email at skh7b@virginia.edu or telephone at 434 243 4039.

The University of Virginia is fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity, marital status, national or ethnic origin, political affiliation, race, religion, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.

Posting Number 0624154 | www.jobs@virginia.edu 

The School of Engineering and Applied Science (SEAS) at the University of Virginia (UVA) seeks candidates for open rank, tenured and tenure-track faculty positions as part of the Neuroscience cluster initiative. This initiative builds on momentum of the UVA Brain Institute (http://braininstitute.virginia.edu/) and will help promote collaborative activity across SEAS, the College of Arts and Sciences and the School of Medicine, ensuring continuing prominence of neuroscience scholarship, education, and research. Successful candidates will be expected to collaborate with colleagues across UVA as well as within the UVA Brain Institute to advance the University's strategic interest in neuroscience. 

Neural engineering broadly encompasses research that lies at the intersection of engineering and the study of the brain. In this area, engineering design, modeling and/or tools benefit the study or treatment of neurons, the nervous system and the brain. Example research areas include neuroimaging (e.g., MRI), neural signal/image analysis, neuromodulation, neuromorphic and other neural-inspired computing and analysis of neural coding. Other research areas connected to neural engineering will be considered. 

Candidates will be expected to engage in externally funded research, to teach at the undergraduate and graduate levels, and to perform service for the institution and professional organizations. Rank, tenure-status, and compensation are commensurate with experience. The primary and, if appropriate, secondary department appointments for these positions will be determined by the candidate's areas of expertise. 

Candidates must have a Ph.D. in engineering or science by the time of appointment. Candidates must have a record of excellence in research, as appropriate for the candidate's rank, and a commitment to teaching excellence. Appointment with tenure requires documented excellence in research and teaching. Preference will be given to candidates that are collaborative in nature across schools and would complement or expand the university's current strengths in neural engineering. Evidence of an explicit commitment to diversity and of advancing understanding and outcomes for underrepresented groups is desired. Applicants with a respect for diversity and a passion for making a positive impact on the world in a collaborative environment are strongly encouraged to apply. 

To apply, visit http://jobs.virginia.edu and search for Posting 0624455. Complete a Candidate Profile online and attach a cover letter, curriculum vitae, statement of teaching philosophy, statement of research interest, and contact information for at least three references. Applicant review will begin January 4, 2019. The positions remain open to candidates until filled.  

For questions about the positions, please contact Prof. Scott Acton, the search chair, via email at acton@virginia.edu. For questions about the application process, please contact Savanna Galambos, Faculty Search Advisor, at skh7b@virginia.edu. 

UVA assists faculty spouses and partners seeking employment in the Charlottesville area. To learn more about these services, please visit http://provost.virginia.edu/dual-career. For more information about UVA and the surrounding area, please visit http://uvacharge.virginia.edu/guide.html. 

With one of the highest graduation rates of minority undergraduate students and one of the highest percentages of women engineering students among public universities, UVA is fundamentally committed to increasing the diversity of its faculty and staff and is an affirmative action and equal opportunity employer. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  

Posting 0624487: The Beirne B. Carter Immunology Center and the Department of Biomedical Engineering at the University of Virginia seeks a postdoctoral Research Associate to work in the laboratories of Dr. Sarah Ewald and Dr. Jeff Holmes. The successful applicant will bridge both labs, applying a new optical micro proteomics technology to address outstanding questions in the development of cardiac fibrosis. This position is funded by the American Heart Foundation. Candidates must have an M.D. and/or a Ph.D. degree in hand by the start date and have demonstrated expertise in proteomics, large data set analysis, cell biology, biochemistry, or a related field. A strong interest or background in technology development is desired. The individual should be self-motivated, have developed skills in team work, written and oral communication as well as the design and analysis of experimental questions. To apply visit jobs.virginia.edu and search for posting 0624487.

Posting Number 0624068. The Department of Biomedical Engineering at the University of Virginia is seeking a Research Associate in Dr. Kristen Naegle's laboratory with expertise in computational biology. The new postdoctoral team member will lead a funded project on developing an algorithm to predict kinase activities from phosphoproteomic data. It will involve understanding the relationship between kinases and their substrates and knowledge in network and statistical theory. Additionally, this work will involve collaboration with oncologists and collaborators across the country. This work is funded by an R21 award from the NCI for the Development of Innovative Informatics Methods and Algorithms for Cancer Research and Management. A Ph.D. degree in Biomedical Engineering or a closely related discipline by the start date is required. Candidates must have a strong background in computational biology. Additionally, an ideal candidate would have previous experience in at least two of the following skillsets: Bayesian statistics, graph theory, algorithm development, cancer, and phosphorylation. This is a one-year appointment; however, appointment may be renewed contingent upon available funding and satisfactory performance. To apply, visit http://jobs.virginia.edu and search on Posting Number 0624068. Complete a Candidate Profile online and attach a cover letter, curriculum vitae, and contact information for three references. The position will remain open to applications until filled. For questions about the positions or lab, please contact Kristen Naegle at kmn4mj@virginia.edu. For questions about the application process, please contact Rich Haverstrom at rkh6j@virginia.edu. With one of the highest graduation rates of minority undergraduate students and one of the highest percentages of women engineering students among public universities, the University of Virginia is fundamentally committed to increasing the diversity of its faculty and staff. UVA is an affirmative action and equal opportunity employer. We welcome nominations of and applications from women, members of minority groups, veterans and individuals with disabilities. We also welcome others who would bring additional dimensions of diversity to the university's research and teaching mission. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  

Posting Number 0623873. The Department of Biomedical Engineering at the University of Virginia is seeking Research Associates in Dr. Kristen Naegle's laboratory with expertise in molecular biology and cell signaling. The new postdoctoral team members will lead a funded project on developing enzymatic technologies to produce phosphorylated proteins and study the role of conserved tyrosine phosphorylation in signaling domains. This project is enabled by extensive development in the lab on driving recombinant protein phosphorylation and functional assays for domain testing. Candidates must have a Ph.D. degree in Molecular Biology, Biochemistry, Bioengineering, Quantitative Biology or a closely related discipline by the start date. Previous experience in molecular techniques, cell signaling, protein purification, and protein analysis is required. The candidate must express an eagerness to work in an interdisciplinary team, develop novel approaches, and delve deep into the meaning of regulation in signal transduction. This is a one year appointment; however appointment may be renewed for an additional two, one-year increments, contingent upon available funding and satisfactory performance. To apply, visit http://jobs.virginia.edu and search on Posting Number 0623873. Complete a Candidate Profile online and attach a cover letter, curriculum vitae, and contact information for three references. The position will remain open to applications until filled. For questions about the positions or lab, please contact Kristen Naegle at kmn4mj@virginia.edu. For questions about the application process, please contact Rich Haverstrom at rkh6j@virginia.edu. With one of the highest graduation rates of minority undergraduate students and one of the highest percentages of women engineering students among public universities, the University of Virginia is fundamentally committed to increasing the diversity of its faculty and staff. UVA is an affirmative action and equal opportunity employer. We welcome nominations of and applications from women, members of minority groups, veterans and individuals with disabilities. We also welcome others who would bring additional dimensions of diversity to the university's research and teaching mission. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  

Posting Number 0623483. The Department of Biomedical Engineering at the University of Virginia seeks multiple Research Associates to work in the laboratory of Dr. Gustavo Rohde to perform research on computational predictive modeling, and image and signal analysis with applications to biomedical imaging, cancer detection, signal analysis and others. The Research Associates will be expected to design, implement, and test mathematical algorithms for solving problems related to image reconstruction, signal and image classification, and bioinformatics. Candidates must hold a PhD in Biomedical Engineering, Electrical and Computer Engineering, Computer Science, or a closely related discipline by the start date. Candidates must also show evidence of research productivity (e.g., papers, patents, presentations, etc.), and have the ability to implement computer algorithms. To apply, visit https://jobs.virginia.edu and search on Posting Number 0623483. Complete a candidate profile on-line; attach a CV, cover letter, contact information for three references and a statement of Research Interest. The position will remain open until filled. With one of the highest graduation rates of minority undergraduate students and one of the highest percentages of women engineering students among public universities, the University of Virginia is fundamentally committed to increasing the diversity of its faculty and staff. UVA is an affirmative action and equal opportunity employer. We welcome nominations of and applications from women, members of minority groups, veterans and individuals with disabilities. We also welcome others who would bring additional dimensions of diversity to the university's research and teaching mission. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  

Position Number 0621930. The Department of Biomedical Engineering at the University of Virginia seeks either a Software Engineer 2 or a Software Engineer 3, depending on qualifications. This position will execute all programming tasks for an exciting collaboration with Stanford University, including: programming, analyzing, designing, developing, implementing, modifying, and maintaining computer programs. The incumbent will work on systems of moderate size and complexity or segments of larger systems. There will be periodic, week-long trips to Palo Alto, CA, to foster this collaboration. All candidates are expected to have a Bachelor's degree in Computer Science, MIS, Computer Engineering or a related discipline. Relevant experience may be considered in lieu of a degree. Proficiency with Python - including the scientific tools such as NumPy, Jupyter, and Cython; C/C++; Java, is expected. Prior experience with biology, especially computational modeling of biology, is preferable. To be considered for the Software Engineer 2, candidates must have at least one year experience programming and maintaining computer systems, ideally with developing in-house software. To be considered for the Software Engineer 3, candidates must have at least three years of experience programming and maintaining computer systems, ideally with software development and in-house systems. This is a restricted position contingent upon the continued availability of funding.