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Postdoctoral Fellow/Researcher for OpenDP

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Computer Science
Description

The OpenDP project (opendp.io) seeks to hire 1-2 scientists to work with faculty directors Gary King and Salil Vadhan and the OpenDP Community to formulate and advance the scientific goals of OpenDP and solve research problems that are needed for its success.  Candidates should have a graduate-level degree (preferably a PhD), familiarity with differential privacy, and one or both of the following:

                • Experience with implementing software for data science, privacy, and/or security, and an interest in working with software engineers to develop the OpenDP codebase.

                • Experience with applied statistics, and an interest in working with domain scientists to apply OpenDP software to data-sharing problems in their field. (In particular, we are looking for a researcher to engage on an immediate project on Covid-19 and mobility and epidemiology. See https://crisisready.netlify.app/jobs/hdsifellow/ for more details.)

The successful candidate(s) will be hired into a Harvard research appointment appropriate to their education and experience, with possibilities including Research Fellow, Postdoctoral Fellow, Research Associate, Research Scientist, and Senior Research Scientist.  They will be free to spend 50% of their time on independent research projects of their choosing.

OpenDP is dedicated to building a  diverse community that is welcoming for everyone, regardless of disability, gender identity and expression, physical appearance, race, religion, or sexual orientation.  In particular, we encourage applications from members of underrepresented groups for our open positions.

Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

 

How to Apply

A complete application should include:
a) A cover letter
b) A curriculum vitae
c) A two-to-four page statement of purpose, discussing both past accomplishments and current and future areas of interest
d) Links to at most three research papers or software products
e) Letters from two to three references
Applicants should email items (a)-(d) to privacytools-info@seas.harvard.edu using “OpenDP Scientific Staff" as the title of the email and have their references email the letters to privacytools-info@seas.harvard.edu.

Applications will be reviewed on a rolling basis starting September 15, until the positions are filled, so candidates are encouraged to apply as soon as possible.  

Posted

Postdoctoral Fellow - Programming Languages

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Computer Science
Description

Nada Amin’s new group at SEAS seeks a postdoctoral fellow in the area of Programming Languages. The group explores new ways of programming that are easier, safer and faster.

For safer, we look at systems and formalisms based on types and verification.

For faster, we look at meta-programming techniques including generative programming and reflection to collapse levels of interpretations as well as moving between different views of the same program in a way that helps optimizations, understanding and modifications.

For easier, our goal is to enable a greater number of people to manipulate computer programs (static) and processes (dynamic) in a robust way. To this end, we look at combining Machine Learning and Programming Languages to enable the creation of neuro-symbolic systems that can move back and forth between learnable (neural) and interpretable (symbolic) representations of a system.

The postdoctoral fellow will have freedom to define projects in collaboration with Nada Amin.

Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

How to Apply

Interested applicants should send their CV and have three letters of recommendation forwarded to Nada Amin.

Posted

Postdoctoral Fellow in Bioengineering

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Bioengineering
Description

The Liu group at the School of Engineering and Applied Sciences (SEAS) at Harvard is looking for an exceptional and energetic postdoctoral fellow working on developing and applying imaging and genomic tools (e.g.,imaging-based single cell genomics and spatial-omics) to understand the complexity of biological systems.

This postdoctoral position will provide an exciting opportunity to develop new computational pipeline and analysis methods that integrate bioimaging with genomics/transcriptomics in a vibrant and interdisciplinary environment and collaborate with team members from diverse backgrounds (chemistry, biophysics, genomics and neuroscience, electrical engineering and computer science, and bioengineering).

Beyond our lab, this position will also offer collaboration opportunities with other experimental and computational teams (genomics, data science, machine learning) at the Broad  Institute, Cambridge, MA.  We emphasize research training and career development for all lab members, and the candidate will have the chance to interact with the broader community at Harvard, MIT, the Broad Institute and the Harvard-affiliated hospitals across Boston.

QUALIFICATIONS

  •  A PhD in Physics, Computer Science, Mathematics, Statistics, Engineering, or Biology with a very strong quantitative background
  •  Extensive programming/optimization experience in several of the following: Python, R, Matlab C/C++, JAVA, ImageJ, Unix, Linux
  • Strong mathematical or physical foundation
  •  Self-motivated, creative, persistent, responsible, good analytical and problem solving skills

PREFERRED EXPERTISE
Candidates with experience in ONE or MORE of the following areas will be given
priority:

  • Single-cell genomics/transcriptomics
  • Computer vision, statistical algorithms and machine learning: e.g., image registration, 2D/3D segmentation, object tracing, feature extraction and annotation
  • Bioimaging database and visualization: e.g., anatomy atlas building for model organisms or human, brain connectomics

Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

 

 

How to Apply

Applicants should submit a cover letter stating the applicant’s motivation and include a CV and contact information of 3 references (names, e-mail addresses and phone numbers), 1-3 representative papers, and any listing of a public code repository (e.g. Github), to Prof. Jia Liu (jia_liu@seas.harvard.edu). Shortlisted candidates will be contacted for interviews.

Posted

Postdoctoral Fellowship in Electrical Engineering

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Electrical Engineering
Description

This position is for a Postdoctoral Scholar position. Applicants will broadly work on algorithmic fairness in healthcare under the supervision of Prof. Flavio Calmon at Harvard SEAS and Prof. Berk Ustun

at UCSD. There is flexibility to work on theory or method development related to topics like the fairness in personalization, the use of protected attributes. This is a joint appointment between UCSD and Harvard.

This is a joint postdoctoral fellowship at Harvard and UCSD with a lot of flexibility. You may choose to reside in Boston or San Diego, or split your time between the cities (e.g., spend the academic year in San Diego and the summers in Boston). The earliest start date is September 2021, though a later start is fine. The position is funded for two years, with a potential extension for a third year. The baseline salary for this position is 60k.

We will review applications starting on March 15, 2021. Applications will be accepted after this deadline until the position is filled. Please see application details in the following link: https://apolrecruit.ucsd.edu/JPF02646

About Us

Flavio Calmon is an Assistant Professor of Electrical Engineering at Harvard’s John A. Paulson School of Engineering and Applied Sciences. Before joining Harvard, he was the inaugural data science for social good post-doctoral fellow at IBM Research in Yorktown Heights, New York. He received his Ph.D. in Electrical Engineering and Computer Science at MIT. His main research interests are information theory, inference, and statistics, with applications to fairness, privacy, machine learning, and communications engineering. Prof. Calmon has received the NSF CAREER award, the Google Research Faculty Award, the Amazon Research Award, the IBM Open Collaborative Research Award, Harvard’s Lemann Brazil Research Fund Award, and a Harvard Commendation for “Extraordinary Teaching in Extraordinary Times” for his undergraduate signal processing course. For more information, please visit: http://people.seas.harvard.edu/~flavio/

Berk Ustun is an incoming Assistant Professor at the Halıcıoğlu Data Science Institute at UC San Diego. His research lies at the intersection of machine learning, optimization, and human-centered design.

Specifically, he is interested in developing methods to promote the adoption and responsible use of machine learning in medicine, consumer finance, and criminal justice. Prior to his appointment at UCSD, Ustun held research positions at Google AI and the Center for Research on Computation and Society at Harvard. He received a PhD in Electrical Engineering and Computer Science from MIT, an MS in Computation for Design and Optimization from MIT, and BS degrees in Operations Research and Economics from UC Berkeley. For more information, please visit https://www.berkustun.com.

Applicants must have a PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, Data Science, Bioinformatics (or a related discipline) or be confident of its completion by the time of the start of this position.

Experience in machine learning, an interest in algorithmic fairness, and expertise in at least one of the following areas is preferred: optimization, statistics, causal inference, and information theory. Prior experience in healthcare is preferred, as is an ability to code in Python. Candidates with a commitment to support diversity, equity, and inclusion in an academic setting are welcome.

We are looking for applicants with demonstrably strong research skills, ideally, with publications in top venues in machine learning and data mining. Research experience in reinforcement learning and/or interpretable and fair ML is strongly preferred.

How to Apply

Required application documents include a current C.V. , Cover Letter, Statement of Research, and a minimum of two publications. In addition, please comment in your cover letter on past or potential contributions to diversity.

Candidates are also required to submit the names and contact information for at least three and up to five references. The application is complete only when three letters have been submitted.

We encourage candidates to apply by March 15, 2020, but will continue to review applications until the positions are filled. Applicants can apply online at https://academicpositions.harvard.edu/postings/10116.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

Posted

Postdoctoral Research Fellow in Computer Vision

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Computer Science
Electrical Engineering
Description

Overview: Harvard University’s Assistive Technology Initiative has an immediate opening for an entrepreneurial research fellow to coordinate and lead a project at the intersection of wearable sensing, controls, neurophysiology, movement science, and clinical rehabilitation. The position will leverage expertise of the  Harvard Biorobotics Lab (http://biorobotics.harvard.edu/) in the area of real-time image processing (ultrasound, video, depth) used to assess human movement. The project will also be part of a collaboration with the Biodesign Lab (https://biodesign.seas.harvard.edu) applying these techniques to wearable and clinical assessment devices. The research fellow will work as part of a highly multidisciplinary team with backgrounds in engineering, biomechanics and rehabilitation science. The successful candidate will contribute to the development of new technology, evaluate the technology with human participants in state-of-the-art biomechanics facilities, and play a key role in setting the vision for commercial application.

Duties and responsibilities: The research fellow will be co-mentored by project faculty and staff leads to set the overall project direction and contribute technically to system development. They will work with a multidisciplinary team of graduate students, research physical therapists, and movement scientists to coordinate technical development, biomechanical and clinical testing, and planning for technology translation. Ideal candidates for this position will have strong experience or interest in team management, and excellent communication skills.

How to Apply

Qualifications:

  • PhD in computer science, electrical engineering, or a closely related field
  • Experience with computer vision and real-time image and signal processing
  • Excellent written communication skills
  • Strong interpersonal and collaborative skills
  • Strong interest in leading developing and translating to commercial application wearable sensing and rehabilitative technology

Additional information: Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

This position is for one year with a possibility for renewal of a second year. Applications should be assembled as a single PDF file, containing a complete resume, cover letter describing research interests and goals, a full list of publications, copies of up to three relevant scientific papers, as well as the names and contact information of three references who are able to provide letters of recommendation. Applications should be sent to:

Professor Robert D. Howe | howe@seas.harvard.edu

David Perry | dperry@seas.harvard.edu

Posted

Postdoctoral Fellowship at Harvard Center for Research on Computation and Society (CRCS)

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Computer Science
Description

The Harvard Center for Research on Computation and Society (CRCS) solicits applications for postdoctoral fellows for the 2022-2023 academic year. CRCS provides postdoctoral fellows with an annual salary plus travel and research funding to allow them to engage in independent research. Fellows spend up to two years at CRCS. We seek researchers who are enthusiastic about interacting with computer scientists and colleagues from other disciplines and who have a demonstrated interest in connecting their research agenda with societal issues.

Areas of specific research interest for the 2022-2023 academic year include conservation and population health. Research in this arena may involve, among myriad other possibilities, the use of AI for protecting endangered wildlife, fisheries, and forests; the use of technology to detect and prevent disease; public health challenges amongst those experiencing homelessness, pandemic prevention, or strategies to promote health equity; and ethics and fairness in the application of technological innovation to societal problems. Privacy and security are topics that continue to remain of interest to CRCS.

Many of these topics involve interdisciplinary collaboration. To that end, CRCS researchers have collaborated in interdisciplinary work with other centers at Harvard, including the Center for Communicable Disease Dynamics (CCDD), Edmund J. Safra Center for Ethics, Embedded EthiCS at Harvard, and the Harvard Chan India Research Center.

The ideal CRCS researcher will have a technical background in an area related to computer science and a desire to creatively use those skills to address problems of societal importance. CRCS is a highly collaborative environment, and we expect fellows to engage with researchers both inside and outside of computer science. CRCS researchers have made contributions to important outcomes such as the development of PAWS for conservation and the Privacy Tools Project.

CRCS offers postdoctoral fellows numerous opportunities to engage with Harvard faculty, students, and scholars in computer science and other disciplines, including the CRCS lunch seminar series, professional development panels, informal CRCS lunches, and other research group meetings. Fellows will earn an annual salary of $75,000, paid monthly, with additional support for research and conference travel.

Harvard University is an Affirmative Action/Equal Opportunity Employer. We are particularly interested in attracting women and underrepresented groups to participate in CRCS. For further information about the Center and its activities, see https://crcs.seas.harvard.edu/. We encourage candidates to apply by December 1, 2021, but will continue to review applications until the positions are filled.

How to Apply

Candidates are required to have a doctorate or terminal degree in Computer Science or a related area by the expected start date.

Required application documents include a cover letter, cv, a statement of research interests, and up to three representative papers. Candidates are also required to submit the names and contact information for at least three and up to five references, and the application is complete only when three letters have been submitted.

The cover letter should address what you hope to gain from your time at CRCS and listing up to three faculty members with whom you would like to work.

Required Documents
1. Curriculum Vitae
2. Cover Letter
3. Statement of Research
4. Publication
5. Publication 2

Optional Documents
1. Publication 3

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy related conditions or any other characteristic protected by law.

Posted

Postdoctoral Position in Atmospheric Chemistry Modeling

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Environmental Science & Engineering
Description

A postdoctoral position is available in the Atmospheric Chemistry Modeling Group at Harvard University. Visit us at  http://acmg.seas.harvard.edu/ . The successful candidate will have the opportunity to work on a wide range of problems related to global atmospheric chemistry, air quality, inverse analyses of methane observations, and GEOS-Chem model development.  Applicants should have a Ph.D. in atmospheric chemistry and substantial experience in 3-D modeling.

How to Apply

To apply please email a curriculum vitae, contact information for three references, and 1- paragraph statement of interest to Prof. Daniel J. Jacob (  djacob@fas.harvard.edu ), School of Engineering and Applied Science, Harvard University.  

Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

Posted

Postdoctoral Fellow in Clinical Biomechanics and Wearable Robotics

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Bioengineering
Materials Science & Mechanical Engineering
Description

The Harvard Biodesign Lab invites applications for an immediate opening on a research project focused on biomechanical, physiological, and clinical evaluations of wearable robotic devices developed to assist individuals with neurological disorders (e.g., stroke, multiple sclerosis, Parkinson’s disease, and cerebral palsy). These soft wearable robots are lightweight and pliable and apply appropriately timed joint torques to the wearer. The successful candidate will work as part of a larger team of engineers, apparel designers, movement scientists, and clinicians to conduct human subjects studies that will be used to advance the development of multiple wearable robot platforms and evaluate their ability to enhance neurorehabilitation. They will have access to state of the art equipment (Qualysis cameras, Bertec force plates in an over-ground walkway, a Bertec instrumented treadmill, Delsys Trigno surface electromyography system, and Cosmed K4b2 metabolic test system). The candidate will also be expected to contribute to the writing and running of IRB-approved studies on healthy and patient populations.

The candidate should have a strong interest in contributing to multidisciplinary teams and will be expected to publish scholarly papers and attend international conferences, as well as take on a mentorship role for undergraduate and graduate students.

A Ph.D. in Biomechanics, Kinesiology, Movement Science, Physiology, Biomedical Engineering or a related field.

A strong background in statistics, as well as previous experience in human subjects studies with wearable robots and working with neurological patient populations are highly desired. Additionally, having a PT background and being eligible for physical therapy licensure in the Commonwealth of Massachusetts would be a plus.

How to Apply

Application materials include an updated CV, a cover letter describing research interests and goals, a full list of publications, and up to three relevant scientific papers. Please submit the names and contact information for up to three references. Applicants can apply online at https://academicpositions.harvard.edu/postings/10113.

We strongly encourage applications from members of underrepresented groups.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

 

Posted

Postdoctoral Fellow in Motion Tracking, Wearable Sensors, Estimation, Machine Learning

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Computer Science
Materials Science & Mechanical Engineering
Description

The Harvard Biodesign Lab invites applications for an immediate opening on a research project focused on connected systems for tracking strength training exercises. The role will involve being part of a multidisciplinary team working on a connected fitness project using wearable sensors to estimate amount and quality of motions for upper and lower bodies during strength training. Experience with machine learning is a big plus. A candidate would be expected to work with the team of engineers and an exercise scientist to develop algorithms and help administering user testing.

Applicants should have a PhD degree in computer science, mechatronics, or biomechanics.

In addition, extensive experience using IMUs, signal processing, calibration and data fusion for motion tracking is required for this position.

Strong organizational, motivation, and communication skills are strongly preferred. A passion for sports, biomechanics and technology is also highly desired.

How to Apply

Application materials include an updated CV, a cover letter describing research interests and goals, a full list of publications, and up to three relevant scientific papers. Please submit the names and contact information for up to three references. Applicants can apply online at https://academicpositions.harvard.edu/postings/10115.

We strongly encourage applications from members of underrepresented groups.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

Posted

Postdoctoral Fellowship in Computer Vision at Harvard University

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Computer Science
Description

The Visual Computing Group (https://vcg.seas.harvard.edu/) in the School of Engineering and Applied Sciences (SEAS) at Harvard University seeks motivated postdoctoral fellows with a Ph.D. in computer science/engineering or a related field to work on applied research projects in computer vision and deep learning. We are working on a wide range of exciting research areas, including image enhancement, video understanding, visual question answering, and biomedical image analysis. In addition to working closely with graduate students and collaborators on research projects, the candidate is expected to actively participate in writing grant proposals.

Basic Qualifications: Ph.D. in computer science/engineering or a related field to work on applied research projects in computer vision and deep learning.

Candidates should have a substantial publication history in top computer vision/machine learning venues and good teamwork and communication skills.

How to Apply

A complete application must include a cover letter, curriculum vitae, and three letters of reference.

To apply submit your application materials online at:

https://academicpositions.harvard.edu/postings/10250

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

Posted