The Whiting School of Engineering at Johns Hopkins University is seeking outstanding faculty candidates in all engineering disciplines whose research will contribute to the development and advancement of engineering methods in medicine and healthcare. This search is open to all faculty ranks and to candidates in all engineering disciplines including Computer Science and Applied Mathematics. Particular interest is in candidates with a focus in data science, smart devices, workflow modeling and optimization, and mobile health. Candidates with a demonstrated ability to translate their work to healthcare-related settings are particularly desirable. The Whiting school intends to make a substantial, multi-year investment in the areas of engineering related to healthcare, and is seeking to fill multiple tenure track positions across multiple departments. More information on this initiative can be found at http://wsehealthcare.jhu.edu/
The Whiting School of Engineering comprises over 200 full time tenure-track, research, and teaching-track faculty in nine academic programs with a total annual research budget of over $100 million. Research partnerships with the Johns Hopkins School of Medicine, Applied Physics Laboratory, Bloomberg School of Public Health and the Krieger School of Arts and Sciences make the Whiting School of Engineering a unique research and educational environment. Student enrollment exceeds 1800 at the undergraduate level with over 1000 full time MS and PhD students. The Engineering for Professionals program enrolls over 2000 part time continuing education students and is the largest program of its kind in the country.
Applicants must hold an earned doctorate in an appropriate field by the time their appointment begins. Candidates must have demonstrated an ability to conduct outstanding independent research and show promise for excellent teaching, mentoring and entrepreneurship in all areas. Applications at all levels will be considered; salary and rank will be commensurate with qualifications and experience. Applicants should submit curriculum vitae, a research statement, a teaching statement, three recent publications, and complete contact information for at least three references. Applications must be made on-line at https://academicjobsonline.org/ajo/jobs/6325. Review of applications will begin in December 2015. While candidates who complete their applications by December 1, 2015 will receive full consideration, exceptional applicants will be considered at any time.
The Johns Hopkins University is committed to active recruitment of a diverse faculty and student body. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the University’s goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant.
The Whiting School of Engineering is committed to building a diverse educational environment.
Applications are invited for an open Postdoctoral Fellow position in the laboratory of Dr. Ben Langmead at Johns Hopkins University (www.langmead-lab.org). The fellow will lead projects relevant to the lab’s agenda, including (a) efficient software for analyzing high-throughput biological data, especially sequencing data, (b) scalable software for analyzing large genomic datasets, especially archived, public datasets, and (c) working to make output of genomics tools more interpretable by crafting better abstractions and better methods for characterizing uncertainty and reducing bias. Recent publications from lab members can be viewed at www.langmead-lab.org/publications/. There will be opportunities to collaborate with the excellent biomedical researchers at JHU, as well as opportunities for teaching and mentoring.
Ideal applicants will have • A Ph.D. in Computer Science, Bioinformatics, or related field • Excellent programming skills, including C/C++ • Strong parallel programming skills, e.g. Hadoop, Spark, MPI • Experience analyzing sequencing data • Published papers in English • Excellent communication skills
The Langmead lab has a track record of developing usable, high-impact software tools for studying big genomic datasets. Projects of current and former lab members include Bowtie, Bowtie 2, Crossbow, Myrna and Rail-RNA, which together have been cited over 10,000 times.
JHU has a large community of researchers studying methods and software for genomics. Computational genomics researchers at JHU publish in the most competitive journals in the field. For more details about the genomics community at JHU, see http://ccb.jhu.edu.
To apply, send langmea (at) cs.jhu.edu a letter of interest and current CV. Please also arrange for two letters of recommendation to be sent to that address.
Applications will be reviewed until the position is filled. Questions should be directed to langmea(at) cs.jhu.edu.
The Johns Hopkins University is an EEO/AA employer.