This position reports directly to the Sr. Financial Analyst and will work in conjunction with the finance and administrative teams to provide support for efficient processes and functions for the Department of Computer Science and the Information Security Institute. The responsibilities will encompass a variety of financial, payroll, and administrative activities with duties related to the computing, classification, and recording of transactions; payment and receipt of funds; purchasing and distribution of materials; managing and updating of payroll records.The position will support activities stemming from both non-sponsored and sponsored activities as needed. All of these functions require becoming an expert at utilizing the university’s financial accounting systems, policies, procedures and resources. Provide exceptional and timely customer service and support to faculty, staff, students, and visitors.
Key Responsibilities and Duties:
Purchasing, Payments, and Reimbursements (70%):
Payroll Support (25%):
Other Financial and Administrative Duties (5%):
JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.
Knowledge, Skills, and Abilities:
The successful candidate(s) for this position will be subject to a pre-employment background check.
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at email@example.com. For TTY users, call via Maryland Relay or dial 711.
The following additional provisions may apply depending on which campus you will work. Your recruiter will advise accordingly.
During the Influenza (“the flu”) season, as a condition of employment, The Johns Hopkins Institutions require all employees who provide ongoing services to patients or work in patient care or clinical care areas to have an annual influenza vaccination or possess an approved medical or religious exception. Failure to meet this requirement may result in termination of employment.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.
Equal Opportunity Employer
Note: Job Postings are updated daily and remain online until filled.
EEO is the Law
Important legal information
The Johns Hopkins Mathematical Institute for Data Science (MINDS) invites applications for a tenure-track faculty position. The successful candidate is expected to conduct fundamental research in the mathematical, statistical and computational foundations of machine learning.
Outstanding candidates at all academic ranks will be considered. Candidates must hold a Ph.D. in Applied Mathematics, Biomedical Engineering, Computer Science, Electrical Engineering, Mathematics, Statistics, or related fields, and will be expected to establish a strong, independent, multidisciplinary, and internationally recognized research program. Commitment to teaching excellence at the undergraduate and graduate levels is required.
Primary appointments will be in the academic Department most appropriate for the candidate within the Whiting School of Engineering – e.g. Applied Math and Statistics, Biomedical Engineering, Computer Science, or Electrical and Computer Engineering. For additional information see https://www.minds.jhu.edu/job-openings/.
Opportunities for interactions across the University include the Center for Imaging Science, the Center for Language and Speech Processing, the Laboratory for Computational Sensing and Robotics, the Institute for Data Intensive Engineering and Science, the Institute for Computational Medicine, the Malone Center for Engineering in Healthcare, the Johns Hopkins Applied Physics Laboratory, the Johns Hopkins School of Medicine, the Krieger School of Arts and Sciences, and the Bloomberg School of Public Health.
All applicants should submit their application online at https://apply.interfolio.com/57726 Electronic applications should include a cover letter describing the principal expertise of the applicant, a statement of teaching interests, a statement of research interests, a complete resume, and a publication list. Applications at the Assistant Professor level should also include at least three reference letters. Applications at the Associate or Full Professor levels should not include reference letters or names at this stage.
Applications will be reviewed starting January 15, 2019 and will be accepted until the position is filled.
The Johns Hopkins University is an equal opportunity/affirmative action employer that actively encourages interest from minorities and women and is committed to recruiting, supporting, and fostering a diverse community of outstanding faculty, staff, and students. All applicants who share this goal are encouraged to apply. The Johns Hopkins University is an EEO/AA Employer.
The Whiting School of Engineering and the Laboratory for Computational Sensing and Robotics (LCSR) at Johns Hopkins University are seeking outstanding faculty candidates whose research will contribute to the development and advancement of engineering methods in robotics. More information about the Whiting School of Engineering can be found at https://engineering.jhu.edu, and more information about LCSR may be found at https://lcsr.jhu.edu.
This search is open to all faculty ranks and to candidates in all engineering disciplines including Computer Science, Mechanical Engineering, Electrical and Computer Engineering, and Biomedical Engineering. Tenure-line appointments will be in an appropriate academic department within the Whiting School of Engineering. Of particular interest are established candidates with a focus on robotics in all aspects of healthcare. Examples include interventional/surgical systems, rehabilitation, assistive robotics for healthcare, medical imaging, or neuroscience, nursing assistants, etc. Candidates with a demonstrated ability to translate their work to healthcare-related settings are especially sought.
LCSR is a large multi-disciplinary center within the Whiting School of Engineering with over 200 people. LCSR’s research strategy emphasizes both fundamental and translational research in many aspects of robotics. The Center collaborates actively with the School of Medicine, with the Johns Hopkins Applied Physics Laboratory, with other divisions within the University, and with leading Industry and academic research institutions worldwide.
Opportunities exist for interactions across Johns Hopkins in transdisciplinary Centers and Institutes including LCSR, the Malone Center for Engineering in Healthcare, the Institute for Computational Medicine, the Institute for NanoBio Technology, the Institute for Data Intensive Engineering and Science, the Environment, Energy, Sustainability, and Health Institute, and Divisions across Johns Hopkins including the JHU Applied Physics Laboratory, the JHU School of Medicine, the Krieger School of Arts and Sciences, and the Bloomberg School of Public Health.
All applicants must hold a Ph.D. in an engineering or related field and will be expected to establish a strong, independent, multidisciplinary, and internationally recognized research program. Commitment to teaching excellence at the undergraduate and graduate levels is required.
Applicants at the level of Assistant Professor should apply using the Interfolio web portal (https://apply.interfolio.com/58569) by supplying a current CV, Research Statement, Teaching Statement, recent publications, and the names and contact information of at least three references. Applicants at the level of Associate or Full Professor should contact LCSR_Fac_Search@jhu.edu regarding instructions on how to apply. Questions may be directed to LCSR_Fac_Search@jhu.edu. Applications will be reviewed on a continuing basis until the position is filled. Candidates who complete their applications by February 15, 2019 will receive full consideration for appointments starting in the 2019 academic year.
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 and LCSR are committed to building a diverse educational environment, and women and minorities are strongly encouraged to apply.
Applications are invited for a computational postdoctoral fellow to drive a research program on search engines for genomic data. The Langmead Lab has developed tools (Rail-RNA, Snaptron) and resources (recount2) that altogether constitute a powerful search engine for public RNA sequencing data. The fellow will take these efforts to the next level and apply them to new data types and scientific questions.
The fellow should have experience in areas relevant to the lab’s agenda, e.g. (a) efficient software for analyzing high-throughput biological data, especially sequencing data, (b) scalable software for analyzing many datasets at once, and (c) indexing, sketching and other techniques for making large datasets — raw or summarized — easy and efficient to query.
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
• Strong programming skills in relevant languages and frameworks such as C/C++, Python, Hadoop and Spark
• 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 20,000 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 arrangefor 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.
Applications are invited for a cybersecurity postdoctoral fellow to conduct research on vulnerability discovery, analysis, and patching in the System Security Lab lead by Dr. Cao (https://yinzhicao.org). The System Security Lab has profound experience in Web Security and a track record in publishing academic papers in the top-four cybersecurity conference.
Ideal applicants will have:
To apply, send yzcao (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 yzcao (at) cs.jhu.edu.
The Johns Hopkins University is an EEO/AA employer.