Postdoctoral Fellow Bioinformatics
Northwestern University
Translation Bioinformatics & Data Science.
Machine learning and pattern recognition expertise, programming experience in R and python.
Link:
https://careers.iscb.org/jobs/view/6562
Postdoctoral Research Associate in AI for Health
Oak Ridge National Lab
The Biomedical Science, Engineering, and Computing (BSEC) Group in the Computational Science and Engineering Division (CSED) at the Oak Ridge National Laboratory (ORNL) seeks to hire a postdoctoral research associate with a focus on artificial intelligence for biomedical applications. We are seeking creative people with solid analytical capabilities, broad machine learning and statistical modeling skills, and strong programming experience.
Link:
https://jobs.ornl.gov/job/Oak-Ridge-Postdoctoral-Research-Associate-in-Biomedical-Data-Analytics-TN-37831/533134300/
PhD/Postdoc in Circuits & Embedded Systems
UMass Amherst
I am looking for talented students/postdoc researchers who have a background in circuits & embedded systems (preferably wireless power transfer but not required) to join my group at UMass Computer Science - a top 20 computer science program. This will be a great interdisciplinary research opportunity bridging electronic engineering and computer science (ubiquitous computing) and health sciences.
More information at http://ahhalab.org/position-available/
Please reach out to Prof. Ivan Lee (silee@cs.umass.edu) with CV, or say hello at the conference.
Link:
http://ahhalab.org/position-available/
PhD and postdoc positions in machine learning and data science
Ghent University - imec
PhD and postdoc positions in machine learning and data science at IDLab Ghent, Ghent university - imec in Belgium.
Research topics include:
- Time-series analysis for health, energy and industry 4.0
- Bayesian optimisation
- Surrogate modeling
Senior Research Fellow / Post Doc
University College Dublin
We are seeking an experienced researcher to help build and manage the data management platform in the IMI2 Mobilise-D project. Mobilize-D is a large academic-industry collaboration that aims to revolutionize the use of digital tools to measure real world mobility outcomes. Further details on the project are available at www.mobilise-d.eu
This role will be based in University College Dublin. Candidates should have a PhD in Computer Science, and expertise in machine learning, software engineering, databases and data warehouses, knowledge discovery in databases, data privacy and security, and advanced information systems.
Link:
www.mobilise-d.eu
Machine learning engineer position available
Starkey Hearing Technologies
Do you want to work with a team of talented world-class machine learning engineers to develop the next generation solutions for health and wellness monitoring? Starkey Hearing Technologies are looking for a machine learning engineer at its international headquarters located in Minneapolis, Minnesota, USA.
You will
• proactively maintain a cutting-edge knowledge of modern machine learning techniques
• proactively work with our customer facing teams to understand our customers’ concerns
• proactively seek, generate and propose novel ideas to solve meaningful problems for our customers
• proactively seek to file patent applications on your innovative solutions
• quickly build proof of concepts using Matlab or Python
• effectively develop innovative solutions and deploy them into our products in a timely manner
• be compensated competitively based on your knowledge, skills and experience
• receive 401k, bonus, health insurance, tuition reimbursement and visa sponsorship if needed
You are
• a highly motivated individual with a Ph.D. degree or equivalent in electrical engineering, biomedical engineering, computer science or related field or a Master’s degree in electrical engineering, biomedical engineering, computer science or related field and 3+ years of applicable experience.
• a solid professional with research and development experience in health and wellness monitoring or hearing enhancement algorithms
• excellent in oral and written English communication
• excellent at interpersonal interactions
• fluent in C, C++ or C#
• proficient in Matlab or Python
• proficient in statistical pattern recognition and other modern machine learning techniques including deep learning
If you are interested, please send your latest resume using tao_zhang@starkey.com or using the following address:
Tao Zhang, Ph.D.
Director of Algorithms (AI, ML and Signal Processing) Department
Starkey Hearing Technologies
6600 Washington Ave. S.
Eden Prairie, MN 55344
Tel: (952)210-2245
Link:
None
Senior Machine Learning engineer position avail
Starkey Hearing Technologies
Do you want to work with a team of talented world-class machine learning engineers to develop the next generation solutions for health and wellness monitoring? Starkey Hearing Technologies are looking for multiple full-time senior machine learning engineers at its international headquarters located in Minneapolis, Minnesota, USA.
You will
• proactively maintain a cutting-edge knowledge of modern machine learning techniques
• proactively work with our customer facing teams to understand our customers’ concerns
• proactively seek, generate and propose novel ideas to solve meaningful problems for our customers
• proactively seek to file patent applications on your innovative solutions
• quickly build proof of concepts using Matlab or Python
• effectively lead a small team of engineers to develop disruptive and innovative solutions and deploy them into our products in a timely manner
• be compensated competitively based on your knowledge, skills and experience
• receive 401k, bonus, health insurance, tuition reimbursement and visa sponsorship if needed
You are
• a highly motivated individual with a Ph.D. degree or equivalent in electrical engineering, biomedical engineering, computer science or related field and 2+ years of applicable experience or a Master’s degree in electrical engineering, biomedical engineering, computer science or related field and 4+ years of applicable experience.
• an experienced professional with research and development experience in health and wellness monitoring or hearing enhancement algorithms
• a highly effective engineer with strong technical leadership
• excellent in oral and written English communication
• excellent at interpersonal interactions
• fluent in C, C++ or C#
• proficient in Matlab or Python
• highly proficient in statistical pattern recognition and other modern machine learning techniques including deep learning
If you are interested, please send your latest resume using tao_zhang@starkey.com or using the following address:
Link:
None
Machine Learning Postdoc openings in NingLab, OSU
The Ohio State University
The Ning Lab (https://u.osu.edu/ning.104/) at the Biomedical Informatics Department and the Computer Science and Engineering Department, The Ohio State University, is seeking 1-2 postdocs, starting immediately until the positions are filled. The postdoc candidates are expected to have a Ph.D. degree in Computer Science or related disciplines (e.g., Electrical Engineering, Automation), conduct independent research in Data Mining, Machine Learning, Big Data Analytics or Artificial Intelligence (e.g., doing research on sparse learning, metric learning, kernel methods, learning to rank, recommender systems, graph mining, point processes, deep learning) and have strong communication skills and leadership. The postdoc candidates are also expected to be highly self-motivated and have had a clear career goal set in mind. The postdocs will assist PI Ning on the methodology development in the current projects. Compensation and benefits will be very competitive. If interested, please contact Dr. Ning (ning.104@osu.edu) with the updated CV, transcripts (both undergrad and graduate) and 3 representative publications.
The Ning lab is conducting research on Data Mining, Machine Learning, Big Data Analytics and Artificial Intelligence with applications in drug discovery, Medical Informatics and Health Informatics. The research in the Lab is highly data-driven, computation-oriented and primarily focused on methodology development. The Lab develops new and better methods/algorithms/models to solve emerging and critical problems in healthcare and medicine domains, such as drug property prediction, compound prioritization, drug selection, pharmacovigilance data mining, electronic medical record analysis, etc.
Link:
None
Lab Manager
Duke University
Research in the Big Ideas Lab focuses on developing and testing tools and infrastructure using biomedical and health data for early detection, intervention, and prevention of disease. The Laboratory Manager plays a vital role in managing the daily operations of the lab and is responsible for ensuring that all aspects of the lab are running smoothly.
This will be a full time role with duties including:
• Overseeing setup, maintenance, and use of the laboratory infrastructure, including wearable devices and mobile health applications, compute environment, databases, and supplies
• Overseeing study data management, including aiding in the design and execution of data collection, backup, storage, security, and access
• Ensuring that the lab maintains compliance with regulatory bodies (e.g. IRB)
• Developing research projects and maintaining collaborations
• Co-authoring publications and grants
• Presenting results at scientific conferences
• Training of undergraduate research assistants
• Aiding in organizing community-building events, including weekly lab meetings
Please see online ad:
https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25017&siteid=5172#jobDetails=1368091_5172
Link:
https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25017&siteid=5172#jobDetails=1368091_5172
PhD and Postdoc positions open in biomedical data science
Duke University
The Big Ideas Lab in the Departments of Biomedical Engineering and Biostatistics & Bioinformatics at Duke is searching for talented trainees interested in biomedical data science and mobile health.
Our lab’s overarching goal is to develop and test tools and infrastructure using biomedical and health data for early detection, intervention, and prevention of disease. Our projects include improving health monitoring through personalized, real-time risk classification and tailored, remote intervention strategies.
Our team combines expertise in data science, engineering, informatics, medicine, biological sciences, and population health.
Please reach out to Jessilyn.dunn@duke.edu for details
Link:
http://dunn.pratt.duke.edu/
Staff Fellow - Patient Monitoring Systems
US Food and Drug Administration
The Advanced Patient Monitoring and Control Lab, Division of Biomedical Physics in the FDA’s Center for Devices and Radiological Health (CDRH), Office of Science and Engineering Laboratories (OSEL) has an opening in Silver Spring, MD for a full-time staff scientist / engineer with a strong background in patient monitoring systems including medical device alarm algorithms. The position involves laboratory and computational research, regulatory consulting support of new and emerging medical devices, analyses of failures with existing devices, and outreach to the medical device patient monitoring and alarm community. Experience in one or more of the following areas is desirable: analysis of physiologic and health information datasets to test patient monitoring algorithms; design and evaluation of predictive algorithms; artificial intelligence and machine learning applied to physiologic and medical time-series data; statistical signal processing of physiologic signals; medical device alarm system designs; physiologic sensors and acquisition systems; interoperable patient monitoring systems; model-based design applied to patient monitoring systems. Candidates with experience and/or knowledge of clinical workflows are encouraged to apply. Applicants must possess an M.S. and/or Ph.D. or equivalent degree in engineering or a related scientific field. Excellent speaking and writing skills are required.
The position involves approximately 70% laboratory and computational research, and 30% policy or consulting support for reviews of new medical devices and analysis of device failures. The successful candidate will generate written technical and scientific documents for peer-reviewed publications and consulting support activities.
See link for more information on requirements and how to apply.
Link:
https://www.fda.gov/medical-devices/science-and-research-medical-devices/staff-fellow-patient-monitoring-systems-open-period-mar-14-2019-may-31-2019
Research Scientist
Henry M. Jackson Foundation
We are looking for a dynamic scientist to join the U.S. Army Medical Research and Materiel Command’s Biotechnology High Performance Computing Software Applications Institute (BHSAI). This position is for research scientists interested in working in an interdisciplinary environment with focus on the development and application of computational solutions to biomedical problems, involving signal processing of time series physiological data, data mining, data-driven and physiological-based models, and artificial intelligence. The candidate must have a Ph.D. in a related discipline and a strong publication record. The candidate is expected to simultaneously work on multiple projects, involving a diverse and interdisciplinary team of scientists across multiple laboratories. This position is located in Frederick, Maryland. A background requirement is that the employee must have lived in the U.S. three out of the last five years.
Please see current career opportunities at https://bhsai.org to apply with your full Curriculum Vitae to the Henry M. Jackson Foundation.
Link:
Www.bhsai.org
Postdoctoral associate
University of Virginia
The Departments of Biomedical Engineering and Electrical and Computer Engineering at the University of Virginia seek Research Associates to work in the laboratory of Dr. Gustavo Rohde (imagedatascience.com) to perform research on pattern recognition, machine learning, and image and signal analysis with applications to biomedical imaging, cancer detection, mobile and remote sensing, and others. The Research Associate will be expected to design, implement, and test mathematical algorithms for solving problems related to image reconstruction, signal and image classification, and/or bioinformatics.
QUALIFICATION REQUIRMENTS: 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.
APPLICATION PROCEDURE: Apply online at https://uva.wd1.myworkdayjobs.com/en- US/UVAJobs/job/Charlottesville-VA/Research-Associate_R0006136 and attach a cover letter, curriculum vitae, statement of research interest, and contact information for three professional references.
APPLICATION DEADLINE: Review of applications will begin on May 23, 2019, but the position will remain open until filled. This is a one-year appointment; however, the appointment may be renewed for an additional two, one-year increments, contingent upon available funding and satisfactory performance.
For additional information about the position, please contact Gustavo Rohde, Associate Professor, at gr2z@virginia.edu Questions regarding the application process, please contact Rich Haverstrom, Faculty Search Advisor, at rkh6j@virginia.edu
The University of Virginia is an affirmative action/equal opportunity employer. Women, minorities, veterans and persons with disabilities are encouraged to apply.
Link:
https://uva.wd1.myworkdayjobs.com/en-US/UVAJobs/job/Charlottesville-VA/Research-Associate_R0006136
