Postdoctoral Fellow Positions

Research Associate in Nanophotonics

Applications are invited for a Research Associate to work with Professor Marko Loncar on nonlinear and quantum nanophotonics (http://nano-optics.seas.harvard.edu/).

Research will focus on advancing ensemble NV diamond magnetometry applied to detection and imaging of time varying, spatially dependent magnetic fields. The effort is directed to leveraging NV magnetometry to characterize magnetic field emanations from microelectronics and integrated circuits.

A PhD or equivalent in electrical engineering, applied physics, physics, or related area is required. Post-doctoral experience preferred. To apply, please send a CV, research statement, and the names and contact information of three people who can be asked for letters of reference to: kathmasse@seas.harvard.edu with the subject header titled "Loncar Research Associate".

Review of applications will begin immediately. Application deadline is Sept 27, 2019.

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.

Postdoctoral Fellow in Fracture of Thermoelectric Materials

Applications are invited for a postdoctoral position in the Vlassak group at Harvard University with an expected start date of Fall 2019.

The goal of this position is to develop meso-scale fracture and adhesion measurement techniques and use these techniques to study fracture of and adhesion to thermoelectric materials. For more information about our group please visit https://vlassakgroup.seas.harvard.edu/

Applicants should have a Ph.D. in engineering (mechanics, materials) or a related discipline with research experience in experimental mechanics.

The successful candidate is expected to drive the project on fracture of thermoelectrics, but will also have the opportunity to participate in other projects, ranging from experimental cellular bioenergetics to the mechanics of hydrogels.

To apply, please send a CV (including publications and contact information for three references), three copies of research papers, and a one-page cover letter to Prof. Joost Vlassak ( vlassak@seas.harvard.edu )

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.

Postdoctoral Fellow in Microfabrication and Engineering

Lab Summary & Position Summary

By combining unique engineering solutions with cell biology and biochemistry the group of Prof. Jennifer Lewis has become a world leader in bioengineering at the Wyss Institute and Harvard School of Engineering and Applied Sciences.We are seeking a creative, motivated candidate with experience in the field of microfabrication, MEMS, microfluidics, microcontrollers, and electronics. The role will involve development, implementation and testing of microchips to advance the acoustophoretic printing platform. The successful candidate will support and work closely with other experts within the Lewis Group to rapidly advance the scientific program. The project is highly interdisciplinary, on the intersection of engineering, pharmaceutical sciences, biochemistry and chemistry.

Responsibilities

  • Design, development, and successful implementation of novel microfluidic chip.
  • Design, integrate, and upgrade lab electronics to a user-friendly interface.
  • Maintain scientific and technical expertise through familiarity with scientific literature, attending conferences, and developing relationships with thought leaders.
  • Jump in and help with whatever is needed to get the job done: we are in this together!

Preferred Qualifications

  • PhD in the area of microengineering, mechanical engineering, material science, chemical engineering, electrical engineering, applied physics, or similar.
  • 1+ years of experience with microfabrication techniques, such as chemical-mechanical polishing, thin film deposition, deep reactive ion etching, wet processing, lithography, silicon wafer thinning, or wafer bonding.
  • Experience with piezo electric materials, electronic systems, microfluidics, ultrasonic sensors and transducers is a plus.
  • Academic excellence and self-starter mentality: confident, passionate, persuasive.
  • Creativity in the ability to solve complex scientific problems.
  • Self-motivated and curious with strong desire to both learn from and teach others.
  • Outstanding communication and interpersonal skills.

Application Procedure and Deadline

A complete application will include:

  1. A cover letter.
  2. CV.
  3. At least three references.

Applicants should email items (a)-(c) as a single PDF file to Dr. Foresti (dforesti@seas.harvard.edu) using "Microfabrication Postdoc” as the title of the email.

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.

Postdoctoral Fellowship in Economics and Computer Science

Professor David Parkes solicits applications for a Postdoctoral Fellow position in Harvard Computer Science, starting mid-late Fall 2019 and to continue through the 2020-21 academic year. The Fellow will join the Economics and Computer Science Research group, and work with David Parkes to pursue a research project on the use of AI techniques, specifically imitation learning and deep reinforcement learning, for optimal economic design. The Postdoctoral Fellow will be provided with a competitive annual salary plus additional funds to support research and travel.

The ideal researcher will have a technical background in machine learning, and preferably multi-agent systems, as well as a passion to creatively use these skills to address problems of societal importance. Experience with economic theory is desirable but not required.
 

Application Procedure and Deadline

A complete application will include:

(a) A cover letter

(b) A curriculum vitae

(c) A two-four page research statement

(d) At most three research papers

(e) Names of two to three letters of reference


Applicants should email items (a)-(d) as a single PDF file to Ms. Ann Marie King (aking@seas.harvard.edu) using "Parkes postdoc application” as the title of the email. Letter writers should send their letters directly to Ms. Ann Marie King (aking@seas.harvard.edu).

Interested candidates are encouraged to submit their applications by September 30, 2019 for full consideration. Applications will continue to be accepted after this deadline as long as the position is not filled.

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.

Postdoctoral Fellowship in Protein Formulations and Drug Delivery

Lab Summary & Position Summary

By combining unique engineering solutions with cell biology and biochemistry the group of Prof. Jennifer Lewis has become a world leader in bioengineering at the Wyss Institute and Harvard School of Engineering and Applied Sciences.

We are seeking a creative, motivated candidate with experience in developing protein formulations and/or drug delivery of biologics. The role will involve exploring the development of protein formulation by leveraging the acoustophoretic printing platform. The successful candidate will support and work closely with other members within the Lewis Group. The project is highly interdisciplinary, on the intersection of engineering, pharmaceutical sciences, biochemistry and chemistry.

Responsibilities

  • Design, development, and successful implementation of novel polymer/proteins formulations by leveraging the acoustophoretic printing platform.
  • Design and develop in-vitro and in-vivo experiments.

Preferred Qualifications

  • PhD in the area of biomaterials, polymers, drug delivery, pharmacy, or equivalent.
  • Experience with protein formulations.
  • Experience with analytical techniques to characterize proteins: size exclusion chromatography, ion exchange chromatography and ELISA.

Application Procedure and Deadline

A complete application will include:

  1. A cover letter.
  2. CV.
  3. At least three references.

Applicants should email items (a)-(c) as a single PDF file to Dr. Foresti (dforesti@seas.harvard.edu) using "Protein formulation postdoc” as the title of the email.

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.

Postdoctoral Fellowship in Computer Vision for Biology at Harvard University

The Visual Computing Group (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, a computational area of biological science, or a related field to work on applied research projects in visual data analysis for biology with applications in neuroscience, medicine, and pharmacology. The successful applicant will apply cutting edge computer vision and machine learning approaches (e.g., volume segmentation, object detection, automated tracking, image registration) to process and analyze microscopy data. In addition to working closely with biologists, industry partners, and graduate students on research projects, the candidate is expected to actively participate in writing grant proposals.

Candidates should have a substantial publication history in top computer vision or machine learning venues (CVPR, ICCV, ECCV, NIPS, ICML, etc.), a good standing in the research community, as well as good teamwork and communication skills. Experience in deep learning and demonstrated capability to produce workable solutions from theoretical formulations is highly preferred. Competitive salary and benefits are included. The position is available immediately. For more information, please forward your CV and at least three references to Michaela Kapp at mkapp@g.harvard.edu.

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.

Postdoctoral Fellow - Programming Languages

Nada Amin’s new group at the Harvard John A. Paulson School of Engineering and Applied Sciences (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.

Interested applicants should send their CV and have three letters of recommendation forwarded to Nada Amin (namin@seas.harvard.edu).

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.

Postdoctoral Fellow - LInc-The Learning Incubator

The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) seeks applicants for full-time Postdoctoral Fellows with the SEAS Learning Incubator. The mission of the SEAS Learning Incubator is innovation of educational pedagogy in engineering and/or science.

The position requires a combined expertise in a specific scientific discipline with in-depth knowledge of teaching methods and research on learning. The postdoctoral fellows will collaborate with SEAS LInc Faculty Fellows to develop and implement course transformation (design/ redesign of an existing course of design of a new course), as well as provide background research on teaching and learning; identify evidence based educational practices; and design assessment instruments to measure learning and gather comprehensive data on student learning and thinking.

Expected responsibilities include: 
• Develop learning objectives, assessment instruments, and pedagogical approaches for design/redesign of courses
• Align in-class and out-of-class activities to course learning objectives
• Implement and adapt novel pedagogies 
• Develop course assessment measures of student learning (pre/post-tests of student conceptual understanding) 
• Coordinate and implement the pilot trial of newly designed/redesigned courses
• Provide faculty with feedback and coaching advice based on direct observation, student interviews, surveys, etc. 
• Present experiences and research findings to the Harvard SEAS community 
• Publish journal articles on research findings, and present at research conferences and department seminars (in collaboration with faculty members )
• Serve as a resource to faculty on issues related to pedagogy. Keep abreast of all current relevant research.

A Ph.D. in applied mathematics; computer science; physics; various areas of engineering including biomedical, electrical, environmental and mechanical engineering; or science education is required. Applicants should have a well-articulated interest in innovative curriculum transformation and research and prior involvement with such activities, such as experience in the development of curriculum, online teaching, project management, and familiarity with current pedagogical research.

Required application documents include a cover letter, a CV, a one-page statement of teaching interests, sample syllabi, and names and contact information for at least three references. We will continue to review applications until the position is filled.

To apply: https://academicpositions.harvard.edu/postings/9017

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.

POSTDOCTORAL FELLOWSHIP at Harvard Center for Research in Computation and Society (CRCS)

Prof. Milind Tambe's Teamcore group for the past decade and longer has focused on "AI for social good", covering topics such as but not limited to: (i) AI for conservation (e.g., for protection of endangered wildlife, forests, fisheries); (ii) AI for public safety and security; (iii) AI for public health. Their research focuses on fundamental research problems in computational game theory, security games, machine learning in multiagent settings, automated planning under uncertainty, influence maximization and others that are driven by these topics, ensuring a virtuous cycle of research and real-world applications. Examples of research driven by real-world problems include challenges of learning and handling bounded rationality models of human (adversary) behavior from real-world data, solving massive scale games uncertainty, algorithms that enable influence maximization in social networks under dynamism and uncertainty.

Prof. Tambe and his Teamcore group are moving to Harvard University, and there they will have new openings for post-doctoral research associate position starting in Fall 2019. Research emphasis will be on new algorithmic approaches in multiagent systems specifically in topics related to combining machine learning and security games.

Interested applicants should send their CV and have three letters of recommendation forwarded to Professor Milind Tambe (milind_tambe@harvard.edu)

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.

POSTDOCTORAL FELLOWSHIP in Neuroengineering

Prof. Jia Liu’s Group at Harvard University seeks talented post-doctoral fellows to work on bioelectronics for Neuroengineering. Specifically, the postdoctoral fellow will work on the exploring of advanced nanoelectronics and genome engineering to seamlessly integrate man-made devices with nervous systems. The postdoctoral fellow will work together with a team of electrical engineer, chemist and computational biologist.

Qualifications: Ph.D. in Biology, Neuroscience, Bioengineering or related fields will be considered. Candidates must have research experiences in patch-clamp and Molecular Biology. Multidisciplinary background and research experience are highly preferred.

Application procedure: Interested candidates should submit their application packet to Prof. Jia Liu (jia_liu@seas.harvard.edu) with the following documents: cover letter, CV, 3 relevant first author paper(s), and the names of three referees.

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.

Postdoctoral fellow in theoretical neuroscience and brain-inspired machine learning

Postdoctoral positions are available in Cengiz Pehlevan’s theoretical neuroscience group at Harvard University. We are looking for candidates with strong analytical and numerical skills, and backgrounds in (theoretical) neuroscience, applied mathematics, physics, engineering, computer science, or related fields.

Our group seeks to understand the algorithms of the brain and their neural implementation. Current interests include, but are not limited to, unsupervised learning of sensory representations, reinforcement learning of motor skills, decision making and brain-inspired machine learning. For recent publications, see pehlevan.seas.harvard.edu. Successful candidates will join a vibrant community of researchers at Harvard and take part in collaborations with experimental labs across the campus.

The position is funded for multiple years, with an initial one-year appointment and expectation of extension contingent on satisfactory progress. To apply, please email a short statement of research interests, a CV, and the contact information of at least two references to Cengiz Pehlevan (cpehlevan@seas.harvard.edu), with the subject line “Theory Postdoctoral Fellow”. Review of applications will begin immediately.

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.

Open Positions with the Biomedical Systems Engineering Research Group at Harvard John A. Paulson School of Engineering and Applied Sciences

The Diabetes Research Group at the Harvard John A. Paulson School of Engineering and Applied Sciences is seeking post-doc fellows that would like to be engaged in cutting edge interdisciplinary biomedical research and the development of novel control algorithms to improve glucose control and quality of life for people with type 1 diabetes mellitus under the supervision of Dr. Dassau.  The research activity will include algorithm development, computer simulations and translation of the work to human clinical studies.

Basic Qualifications  

A Ph.D. degree (or close to completion) in Systems and Control, Applied Mathematics, Electrical or Mechanical or Chemical Engineering, or related field is required. Ideal candidates must have a strong background in design and development of MPC algorithms, System Theory, Automatic Control, and Optimization. Excellent interpersonal, written, and oral communication skills and ability to write peer reviewed papers with limited supervision. Must have the ability to collaborate with a multidisciplinary team of scientists and medical professionals on a large project at all stages. Experience using Matlab, Java is required.

Additional Qualifications

Preference for individuals familiar and interested in translational medicine or biomedical-related fields. This position requires an individual capable of consistent use of discretion, judgment, and initiative. Experience using C, embedded C and Python is a plus.

Required documents

An informal cover letter and/or personal statement, no longer than 1 page and detailed curriculum vitae with a list of publications is required. Please provide the names and contact information of three references. Please submit as one .pdf file in the above order. Incomplete applications will not be considered.

For more informaiton about the research, please visit:  https://doyle.seas.harvard.edu/biomedical-control/  

Prospective candidates should send their application to APS@seas.harvard.edu with the required information. Applications will be considered on a rolling basis until positions are filled.

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.

POSTDOCTORAL FELLOWSHIP IN Bioelectronics

Prof. Jia Liu’s Group at Harvard University seeks talented post-doctoral fellows to work on building bioelectronics for use in mapping and manipulation of brain and heart electrophysiological and physiological activities on behaving animals. Specifically, the postdoctoral fellow will work on the exploring of advanced nanoelectronics/photonics, polymer chemistry, tissue engineering and genome engineering to seamlessly integrate man-made devices with living brain and cardiac systems. The postdoctoral fellow is expecting to work together with a team of electrical and mechanical engineers, chemists, biologist, and computational biologist.

Qualifications: Ph.D. in Chemistry, Electrical engineering, Materials Science and Engineering, Chemical Engineering, Bioengineering, Biology or related fields will be considered. Candidates with backgrounds in Developmental Biology, Electrophysiology, Neuroscience, Organic Synthesis, Nanoparticles Synthesis, Nanoelectronics Fabrication and Molecular Biology are strongly encouraged to apply. Multidisciplinary background and research experience are preferred.

Application procedure: Interested candidates should submit their application packet to Prof. Jia Liu (jia_liu@seas.harvard.edu) with the following documents: cover letter, CV, 3 relevant first author paper(s), and the names of three referees.

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.

Postdoctoral Fellow in Information Theory and Applications

A postdoctoral position is available in the area of information theory and related applications. Topics include, but are not restricted to: (1) information-theoretic foundations of fairness in machine learning; (2) information-theoretic privacy; (3) representation learning and bottlenecks problems. 

Applicants should have a solid background in information theory and a strong interest in applications in fairness, privacy, and machine learning. Knowledge of theoretical computer science is useful but not necessary. The ability to write code beyond Matlab (e.g., Python, Tensorflow, R) is a big plus. The position is funded for up to two years.

Interested candidates should send a single pdf containing a cover letter (i.e., a short paragraph stating your interest), a CV, two selected publications, the name of three references, and a link to their Github profile (or equivalent) to Prof. Flavio Calmon (www.seas.harvard.edu/~flavio). The subject line of the e-mail should read "IT-Postdoc Harvard SEAS Fall 2018”.

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.

Postdoctoral Fellow in Calorimetric sensing system for cellular bioenergetics 

Applications are invited for a postdoctoral position in the Joost Vlassak group at Harvard University with an expected start date of Fall 2019. This goal of this position is to develop new calorimetric sensing technologies and use these to study cellular bioenergetics and thermodynamics of materials. This highly interdisciplinary project includes the development of new devices and sensing systems, materials characterization, and cellular biology. The successful candidate will be expected to collaborate with bio-research groups at Harvard. For more information about our group and Technology for Equitable and Accessible Medicine (TEAM) please visit https://vlassakgroup.seas.harvard.edu/ and https://team.seas.harvard.edu/.

Applicants should have a Ph.D. in engineering (materials, bio, chemical or mechanical) or related discipline with research experience in sensors, MEMS, biomaterials, soft matter, or microfluidics by the expected start date. Multidisciplinary background and research experience are preferred.

To apply, please send a CV (including publications and contact information for three references), three copies of research papers, and a one-page cover letter to Prof. Joost Vlassak (vlassak@seas.harvard.edu).

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.

Postdoctoral Fellowship in the Disease Biophysics Group

Harvard John A. Paulson School of Engineering and Applied Sciences and Faculty of Arts and Sciences

Position: Post-doctoral fellow

Time Status: Full-time

Background: Prof. Kevin Kit Parker’s Disease Biophysics Group at the Harvard University Wyss Institute for Biologically Inspired Engineering seeks a talented post-doctoral fellow to work on the rapid manufacturing of regenerative heart valves, or JetValves. The candidate will use the proprietary rotary jet spinning technologies developed in the Parker lab to design, build, and test heart valve replacements using natural and synthetic polymeric nanofibers. The goal of this translational project – which is part of an international collaboration with the University of Zurich in Switzerland – is to complete the preclinical characterization of JetValves in preparation for a first-in-man clinical trial.

Duties and Responsibilities: Working together with a team of engineers, chemists, and applied mechanicians, the candidate will be responsible for nanofiber production and valve manufacturing, quality assessment, and structural and functional validation in-vitro. This includes performing standards tests using methodologies such as Instron®, FTIR, SEM, microCT, pulse duplicator testing, and cell infiltration. The candidate is also expected to participate in the in-vivo and post-mortem validation of JetValves implanted in sheep, including analysis of explanted samples via SEM and immunohistochemistry.

Qualifications: A Ph.D. in cardiovascular tissue engineering or related fields and expertise with in-vitro and/or in-vivo characterization of heart valves or heart valve replacements. A background in Materials Science and proven experience with nanofiber fabrication (e.g., electrospinning) or additive manufacturing methodologies (e.g., 3D printing) will be positively evaluated.

Application procedure: Interested candidates should submit their application packet to Prof. Kevin Kit Parker (kkparker at g.harvard.edu) and his administrator Kelly Rush (krush at seas.harvard.edu) as a single pdf file with the following documents: cover letter, CV, 3 relevant first author paper(s), and the names of three referees.


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.

 

Postdoctoral Fellow in Control and Optimization for Energy Systems and Buildings

Harvard Center for Green Buildings and Cities (CGBC)

Harvard School of Engineering and Applied Sciences (SEAS)
 
Description:
This is a joint position between the CGBC and SEAS. This position involves conducting advanced research on control and optimization for energy efficient buildings and large-scale networks. The research topics include but are not limited to designing control algorithms for buildings and electricity network systems, optimizing and implementing control strategies in House Zero project. The candidate will focus on and actively participate in proposal writing to secure more funding for future projects. The potential candidates will collaborate with researchers in both the CGBC and Prof. Li Na’s group on related research topics.

Requirements:

> Highly-motivated with a strong mathematical background and interests in both theory and application.
> Interest in smart building applications. Knowledge about HVAC is a plus.
> Interest in electricity network systems, in particular optimization and control for power systems.
> Good coding skills and a strong control background are preferred.
> Post-doctoral candidates should either have received their doctoral degree, or have submitted their dissertation for final awarding of the degree. 
 
The review process is competitive, based on academic record, as well as professional and extra-curricular experience. Applicants should submit cover letter, resume and any other materials detailing personal experience and research interests to cgbc@gsd.harvard.edu.

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.

Postdoctoral Fellow in Programming Languages and Language-Based Security

Applications are invited for a postdoctoral position in the area of programming languages and language-based security at Harvard University, starting in Fall 2017. The goal of the postdoctoral position is to investigate the connections and interactions between technical mechanisms and legal mechanisms to enforce strong security guarantees in computer systems.

The ideal candidate will have a Ph.D. in Computer Science (completed or soon to be completed), a combination of strong theoretical and practical interests, expertise in language-based and systems security, a substantial publication history, good teamwork and communication skills, including excellent spoken and written English. Expertise or prior experience in formalization of legislation will be useful. The position is initially for one year, with possible extension up to three years. Please note that Harvard requires confirmation of Ph.D. completion before the postdoctoral position can begin.

To apply, please send a CV, research statement, and the names and contact information of three people who can be asked for letters of reference to Prof. Stephen Chong (http://people.seas.harvard.edu/~chong). Review of applications will begin immediately. Applications received by July 1 will receive full consideration.

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.

Postdoctoral Fellow Opening in Robot Grasping Systems in BioRobotics Lab at Harvard

The BioRobotics Lab at the Harvard John A. Paulson School of Engineering and Applied Sciences invites applications for an immediate postdoctoral fellow opening in reliable robot grasping. This position will work with a team developing real-world applications of robot systems. Expertise in experimental robotics is essential, and experience in robot hands, grasping, computer vision, and machine learning will be useful. For more information about our lab please visit http://biorobotics.harvard.edu.

To apply, please send a single pdf file with your CV (including publications), copies of up to three relevant papers, contact information for three references, and a one-page cover letter to howe@seas.harvard.edu.  This is a one-year appointment with the possibility of renewal.

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.

Postdoctoral Fellow Positions in Bio-Inspired Engineering

The Wyss Institute for Biologically Inspired Engineering at Harvard University invites applications for a number of postdoctoral fellow positions. The mission of the Wyss Institute is to discover the engineering principles that Nature uses to build living things; to pursue the high-risk research that is fundamental to advance this effort; and to harness these insights to create biologically inspired materials and devices to advance human health and improve the environment – thereby revolutionizing clinical medicine and creating a more sustainable world.

A Ph.D. in a related field is required as is a background in synthetic biology, living materials or biological control. Candidates are specifically sought for the following enabling technology platforms: 3D Organ Engineering; Adaptive Materials Technologies; Molecular Robotics; Living Cellular Devices; Synthetic Biology; Bioinspired Therapeutics and Diagnostics; Immuno-Materials and Bioinspired Soft Robotics.

Applications, assembled as single pdf files, should contain a C.V., a cover letter describing research interests and goals, a full list of publications, copies of up to three relevant scientific papers, and names and contact information for at least three writers of letters of recommendation, who might be contacted as references. Applications should be sent to postdocs@wyss.harvard.edu.

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. 

Wyss Institute Technology Development Fellows

The Wyss Institute for Biologically Inspired Engineering at Harvard University (http://www.wyss.harvard.edu) invites nominations of individuals of outstanding talent and technical skills for a number of Wyss Technology Development Fellow positions. Wyss Fellows will be provided with a competitive salary, and additional funds to support independent exploratory research. The Fellowships are intended for brilliant young women and men of great promise with outstanding technical expertise who have completed their doctoral degree within the last five years. Fellowships are awarded for up to three years.

Although Wyss Fellows will be granted more independence and a greater emphasis on technology creation and translation than other postdocs on campus, they can benefit from the role of Institute Core Faculty and members of the Advanced Technology Team as mentors.

Interested applicants can obtain more information about the application process and can download the nomination sheet on the Wyss Institute website at: https://wyss.harvard.edu/careers/academic/.

Applications should be sent to wyssfellows@wyss.harvard.edu.

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.