20 Research Fellowship jobs in South Africa

Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship.

If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply!

AIMS South Africa in Cape Town, a few meters from the beach! ?
Application deadline: applications will be reviewed as they are received
Start date: immediate

WWF Report & Post-Doctoral Fellowship Opportunity WWF Report on Wildlife Population

A recent report issued by theWWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals.

Fellowship Opportunity

TheAfrican Institute for Mathematical Sciences (AIMS) andStellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues.

This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in TensorFlow or other libraries. Research outputs will be submitted to Q1 ranked international journals.

The fellow will work closely withDr. Emmanuel Dufourq and theMachine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda.

Core Responsibilities

• Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks.
• Maintain research code in a GitHub repository and use current programming practices.
• Actively participate in research meetings and take initiative to grow the group’s collaborative network.
• Co-supervise students in the area of deep learning for wildlife monitoring.
• Assist the research group in research and academic tasks.
• 40 hours of research work per week.

Requirements

• Ph.D. in a relevant mathematical science (e.g. computer science, mathematics, …).
• Strong experience in deep learning (TensorFlow, PyTorch,…) and Python programming.
• Clear evidence of completed deep learning projects in computer vision or audio tasks.
• Good mathematical and problem solving skills as the candidate will actively engage in this.
• A strong desire to apply machine learning to bioacoustics problems.
• Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here).
• Strong communication skills (English written, oral, and presentation).

If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time!

The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply.

Start date

Immediately, in-person in Cape Town

Applications must include

1. A complete CV,
2. Proof of Ph.D. completion,
3. A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest.

Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position.

Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis).

DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications.

#J-18808-Ljbffr

Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship.

If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply!

AIMS South Africa in Cape Town, a few meters from the beach! ?
Application deadline: applications will be reviewed as they are received
Start date: immediate

WWF Report & Post-Doctoral Fellowship Opportunity WWF Report on Wildlife Population

A recent report issued by the WWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals.

Fellowship Opportunity

The African Institute for Mathematical Sciences (AIMS) and Stellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues.

This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in TensorFlow or other libraries. Research outputs will be submitted to Q1 ranked international journals.

The fellow will work closely with Dr. Emmanuel Dufourq and the Machine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda.

Core Responsibilities

• Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks.
• Maintain research code in a GitHub repository and use current programming practices.
• Actively participate in research meetings and take initiative to grow the group’s collaborative network.
• Co-supervise students in the area of deep learning for wildlife monitoring.
• Assist the research group in research and academic tasks.
• 40 hours of research work per week.

Requirements

• Ph.D. in a relevant mathematical science (e.g. computer science, mathematics, …).
• Strong experience in deep learning (TensorFlow, PyTorch,…) and Python programming.
• Clear evidence of completed deep learning projects in computer vision or audio tasks.
• Good mathematical and problem solving skills as the candidate will actively engage in this.
• A strong desire to apply machine learning to bioacoustics problems.
• Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here).
• Strong communication skills (English written, oral, and presentation).

If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time!

The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply.

Start date

Immediately, in-person in Cape Town

Applications must include

1. A complete CV,
2. Proof of Ph.D. completion,
3. A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest.

Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position.

Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis).

DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications.

#J-18808-Ljbffr

Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship. If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! AIMS South Africa in Cape Town, a few meters from the beach! ?Application deadline: applications will be reviewed as they are receivedStart date: immediate WWF Report & Post-Doctoral Fellowship Opportunity WWF Report on Wildlife Population A recent report issued by theWWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals. Fellowship Opportunity TheAfrican Institute for Mathematical Sciences (AIMS) andStellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues. This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in Tensor Flow or other libraries. Research outputs will be submitted to Q1 ranked international journals. The fellow will work closely withDr. Emmanuel Dufourq and theMachine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda. Core Responsibilities Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks. Maintain research code in a Git Hub repository and use current programming practices. Actively participate in research meetings and take initiative to grow the group’s collaborative network. Co-supervise students in the area of deep learning for wildlife monitoring. Assist the research group in research and academic tasks. 40 hours of research work per week. Requirements Ph. D. in a relevant mathematical science (e.g. computer science, mathematics, …). Strong experience in deep learning (Tensor Flow, Py Torch,…) and Python programming. Clear evidence of completed deep learning projects in computer vision or audio tasks. Good mathematical and problem solving skills as the candidate will actively engage in this. A strong desire to apply machine learning to bioacoustics problems. Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here). Strong communication skills (English written, oral, and presentation). If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time! The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply. Start date Immediately, in-person in Cape Town Applications must include A complete CV, Proof of Ph. D. completion, A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest. Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position. Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis). DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications. #J-18808-Ljbffr

Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship. If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! AIMS South Africa in Cape Town, a few meters from the beach! ?Application deadline: applications will be reviewed as they are receivedStart date: immediate WWF Report & Post-Doctoral Fellowship Opportunity WWF Report on Wildlife Population A recent report issued by theWWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals. Fellowship Opportunity TheAfrican Institute for Mathematical Sciences (AIMS) andStellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues. This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in Tensor Flow or other libraries. Research outputs will be submitted to Q1 ranked international journals. The fellow will work closely withDr. Emmanuel Dufourq and theMachine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda. Core Responsibilities Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks. Maintain research code in a Git Hub repository and use current programming practices. Actively participate in research meetings and take initiative to grow the group’s collaborative network. Co-supervise students in the area of deep learning for wildlife monitoring. Assist the research group in research and academic tasks. 40 hours of research work per week. Requirements Ph. D. in a relevant mathematical science (e.g. computer science, mathematics, …). Strong experience in deep learning (Tensor Flow, Py Torch,…) and Python programming. Clear evidence of completed deep learning projects in computer vision or audio tasks. Good mathematical and problem solving skills as the candidate will actively engage in this. A strong desire to apply machine learning to bioacoustics problems. Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here). Strong communication skills (English written, oral, and presentation). If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time! The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply. Start date Immediately, in-person in Cape Town Applications must include A complete CV, Proof of Ph. D. completion, A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest. Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position. Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis). DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications. #J-18808-Ljbffr

JOB TITLE

Research Scientist

LOCATION

Worcester

DEPARTMENT NAME

Mechanical Engineering - NFR JM

DIVISION NAME

Worcester Polytechnic Institute - WPI

JOB DESCRIPTION SUMMARY

We are seeking a highly skilled and driven individual with expertise in materials science and mechanical engineering to lead a project in materials and structures for extreme environments. This initiative is a collaborative venture between aerospace corporate partners and a multi-disciplinary team of researchers at WPI with the goal of developing novel coating technologies to enhance the durability and reliability of engine blade components. The Research Scientist position will involve designing methodology/setups and conducting experiments that will contribute to the development of novel thermal barrier coatings for advanced turbine airfoils. The candidate should be prepared to work in a fast-paced environment, which requires regular reports and presentations to research sponsors.

WPI is passionate about creating an inclusive workplace that promotes and values diversity. We encourage applications from candidates who can support our commitment to equity, diversity, and inclusion.

JOB DESCRIPTION

Responsibilities

• Design experimental methodology/setups for thermal gradient testing of thermal barrier coatings (TBCs) in engine turbine blades under high temperatures and aggressive environments
• Conduct spallation life testing of TBCs under a thermal gradient to assess the effect of factors such as temperature, cycle, and loading conditions on the life of TBCs
• Serve as a technical and programmatic liaison to engineers and scientists at our corporate partners on the development of testing methods and conducting testing of TBCs
• Coordinate with the research team at WPI on experimental investigations and modeling to quantify mechanical and interfacial behavior of TBCs
• Coordinate with the research team at WPI for experimental investigations and modeling of thermo-mechanical fatigue of superalloys used in engine turbine blades
• Train personnel (graduate students, post-doctoral fellows, corporate researchers on testing methods, analysis, and characterization
• Collaborate with WPI faculty from various departments to deliver technical results and progress in the form of technical reports, publications, and presentations

Required Skills

• Ph.D. in Materials Science and Engineering, Mechanical Engineering, Aerospace Engineering, Applied Physics, or related fields
• Practical knowledge of design of experimental setups and standard lab practices
• Experience in experimental mechanics (in particular, mechanical testing, thermal and environmental testing, and basic material characterization (SEM, TEM, EBSD))
• Ability to work independently and in large multi-disciplinary teams
• Excellent oral and written communication skills

Desired Skills

• Experience designing, building, and conducting experiments that involve combustion and high temperature
• Experience with data acquisition, instrumentation, and/or signal conditioning
• Experience in the mechanical and thermal testing of coatings/thin films
• Basic knowledge of mechanics of materials (thermo-mechanical fatigue, creep, fracture mechanics), interface adhesion testing, and life predictions
• Basic knowledge of numerical modeling and finite element software

Required Documents

• Cover Letter / Statement of Interest
• Curriculum Vitae
• List of References

FLSA STATUS

United States of America (Exempt)

WPI is an Equal Opportunity Employerthat actively seeks to increase the diversityof its workplace. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status,or disability. It seeks individuals withdiverse backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making.It is committed to maintaining a campus environment free of harassment and discrimination.

Thank you for your interest in a career with Worcester Polytechnic Institute. You may review the status of your application on your candidate home account. Please continue to check for new openings and follow our social media links to stay up to date on what is happening at WPI.

WPI strives to provide very competitive and comprehensive benefits ranging from health insurance, retirement, tuition assistance, flexible spending accounts, work-life and much more. If you want a new challenge and want to make a difference, then WPI can help you get there!

WPI is a vibrant, active, and diverse community of world-renowned faculty, extraordinary students, and dedicated staff—all committed to changing the world. At WPI, we have competitive and comprehensive benefits, including health insurance, retirement, tuition assistance, flexible spending accounts, work-life balance and much more.

WPI is committed to creating an inclusive workplace culture where everyone feels valued and respected; a place where every student, faculty and staff member can belong, so that they can study, live, and work comfortably, to reach their full potential, and make meaningful contributions in order to meet departmental and institutional goals. WPI thrives on innovative practice and welcomes diverse perspectives, insight, and people from diverse lived experiences, to enhance the community environment and propel the institution to the next level in a competitive, global marketplace. Please take the time to read our diversity r ecruitment brochure showcasing testimonials from many of our employees who come from diverse backgrounds and contribute to the vibrant and inclusive community at WPI.

#J-18808-Ljbffr

At Matter Labs, we believe freedom drives progress and prosperity. We don’t see ourselves as a company, but as a team aligned around a single mission: to advance personal freedom for all (see ZK Credo).

To achieve this goal, we’re building zkSync — a credibly neutral, fully open source technology stack and network on top of Ethereum, which is owned and governed by its community. We use advanced cryptography called zero-knowledge proofs to scale Ethereum infinitely without compromising on security or decentralization. With a world-class team, a community of over 1M supporters across Twitter + Discord, and hundreds of millions $ in funding, we have abundant resources to accomplish the mission.

The Role

We are looking for Research Scientists to join our Research Team. We are looking for accomplished researchers with a PhD in relevant areas of computer science interested in working on various aspects of the complex system that Matter Labs is building, including security, performance, networking, hardware, programming languages, program correctness, and various aspects of applied cryptography related to zero-knowledge proofs.

We expect you to have a track record of research in a relevant area and to be connected to both the academic community and industrial practice. Experience of working on other blockchain projects is a plus but not a requirement.

What You’ll Be Doing

• We expect you to be an expert in your field and to apply your knowledge and expertise to come up with solutions relevant to what Matter Labs is building.
• We expect you to work with both research scientists as well as engineers and engineering managers to get what you produce deployed.
• We expect you to be a member of the academic community and to read and possibly write papers, listen and possibly give presentations, in order to stay abreast of the most recent developments as they happen.

What We Look For In You

• Experience in one (or more) of the following areas: performance (distributed systems, runtimes, networking stack), security, verification and/or machine learning.
• A PhD in computer science or related discipline.
• A track record of research relevant to or deployed in an industrial setting.
• Ability and willingness to produce technical blogs, reports, and papers.
• Deep understanding of software engineering best-practices.
• Ownership mindset and a track record of successfully accomplished projects.
• In-depth knowledge of common algorithms, data structures, and their computational & memory complexities.
• Proven publication history.
• Experience implementing complex prototypes both from scratch and based on existing code bases.
• Ability to produce code that leads to industrial deployment.
• English is your native language or you are completely fluent.

Working at Matter Labs

At Matter Labs, you have the freedom to work how you want, when you want, and from where you want. All positions are 100% remote (with optional travel to team and/or industry events). We operate in lean and nimble teams, with no time tracking and minimum bureaucracy. We move fast. Only results matter. We will provide you with everything you need to learn, grow, and be productive.

Our results-only environment means anyone who believes in our mission can join us, regardless of background, sexual orientation, race, gender, and age. Both our team and community are made up of people from diverse backgrounds. That’s why, out of politeness and respect, we refrain from opinions on politics, religion, or sex at the workplace.

We designed our culture around the tenants of freedom and ownership. This ethos will underpin our positive-sum community as we evolve toward full decentralization.

If this role resonates with you, apply now for prompt feedback.

Important: We are remote-first, operating in the timezones between UTC-5 (Latam and Atlantic Coast) to UTC+7 (South-East Asia). While we’re currently not hiring in the US, we do consider US-based applicants willing to relocate.

#J-18808-Ljbffr

JOB TITLE

Research Scientist

LOCATION

Worcester

DEPARTMENT NAME

Mechanical Engineering - NFR JM

DIVISION NAME

Worcester Polytechnic Institute - WPI

JOB DESCRIPTION SUMMARY

We are seeking a highly skilled and driven individual with expertise in materials science and mechanical engineering to lead a project in materials and structures for extreme environments. This initiative is a collaborative venture between aerospace corporate partners and a multi-disciplinary team of researchers at WPI with the goal of developing novel coating technologies to enhance the durability and reliability of engine blade components. The Research Scientist position will involve designing methodology/setups and conducting experiments that will contribute to the development of novel thermal barrier coatings for advanced turbine airfoils. The candidate should be prepared to work in a fast-paced environment, which requires regular reports and presentations to research sponsors. WPI is passionate about creating an inclusive workplace that promotes and values diversity. We encourage applications from candidates who can support our commitment to equity, diversity, and inclusion.

JOB DESCRIPTION

Responsibilities

• Design experimental methodology/setups for thermal gradient testing of thermal barrier coatings (TBCs) in engine turbine blades under high temperatures and aggressive environments
• Conduct spallation life testing of TBCs under a thermal gradient to assess the effect of factors such as temperature, cycle, and loading conditions on the life of TBCs
• Serve as a technical and programmatic liaison to engineers and scientists at our corporate partners on the development of testing methods and conducting testing of TBCs
• Coordinate with the research team at WPI on experimental investigations and modeling to quantify mechanical and interfacial behavior of TBCs
• Coordinate with the research team at WPI for experimental investigations and modeling of thermo-mechanical fatigue of superalloys used in engine turbine blades
• Train personnel (graduate students, post-doctoral fellows, corporate researchers on testing methods, analysis, and characterization
• Collaborate with WPI faculty from various departments to deliver technical results and progress in the form of technical reports, publications, and presentations

Required Skills

• Ph.D. in Materials Science and Engineering, Mechanical Engineering, Aerospace Engineering, Applied Physics, or related fields
• Practical knowledge of design of experimental setups and standard lab practices
• Experience in experimental mechanics (in particular, mechanical testing, thermal and environmental testing, and basic material characterization (SEM, TEM, EBSD))
• Ability to work independently and in large multi-disciplinary teams
• Excellent oral and written communication skills

Desired Skills

• Experience designing, building, and conducting experiments that involve combustion and high temperature
• Experience with data acquisition, instrumentation, and/or signal conditioning
• Experience in the mechanical and thermal testing of coatings/thin films
• Basic knowledge of mechanics of materials (thermo-mechanical fatigue, creep, fracture mechanics), interface adhesion testing, and life predictions
• Basic knowledge of numerical modeling and finite element software

Required Documents

• Cover Letter / Statement of Interest
• Curriculum Vitae
• List of References

FLSA STATUS

United States of America (Exempt)

WPI is an Equal Opportunity Employerthat actively seeks to increase the diversityof its workplace. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status,or disability. It seeks individuals withdiverse backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making.It is committed to maintaining a campus environment free of harassment and discrimination.

Thank you for your interest in a career with Worcester Polytechnic Institute. You may review the status of your application on your candidate home account. Please continue to check for new openings and follow our social media links to stay up to date on what is happening at WPI.

WPI strives to provide very competitive and comprehensive benefits ranging from health insurance, retirement, tuition assistance, flexible spending accounts, work-life and much more. If you want a new challenge and want to make a difference, then WPI can help you get there!

WPI is a vibrant, active, and diverse community of world-renowned faculty, extraordinary students, and dedicated staff—all committed to changing the world. At WPI, we have competitive and comprehensive benefits, including health insurance, retirement, tuition assistance, flexible spending accounts, work-life balance and much more.

WPI is committed to creating an inclusive workplace culture where everyone feels valued and respected; a place where every student, faculty and staff member can belong, so that they can study, live, and work comfortably, to reach their full potential, and make meaningful contributions in order to meet departmental and institutional goals. WPI thrives on innovative practice and welcomes diverse perspectives, insight, and people from diverse lived experiences, to enhance the community environment and propel the institution to the next level in a competitive, global marketplace. Please take the time to read our diversity r ecruitment brochure showcasing testimonials from many of our employees who come from diverse backgrounds and contribute to the vibrant and inclusive community at WPI.

#J-18808-Ljbffr

At Matter Labs, we believe freedom drives progress and prosperity. We don’t see ourselves as a company, but as a team aligned around a single mission: to advance personal freedom for all (see ZK Credo).

To achieve this goal, we’re building zkSync — a credibly neutral, fully open source technology stack and network on top of Ethereum, which is owned and governed by its community. We use advanced cryptography called zero-knowledge proofs to scale Ethereum infinitely without compromising on security or decentralization. With a world-class team, a community of over 1M supporters across Twitter + Discord, and hundreds of millions $ in funding, we have abundant resources to accomplish the mission.

The Role

We are looking for Research Scientists to join our Research Team. We are looking for accomplished researchers with a PhD in relevant areas of computer science interested in working on various aspects of the complex system that Matter Labs is building, including security, performance, networking, hardware, programming languages, program correctness, and various aspects of applied cryptography related to zero-knowledge proofs.

We expect you to have a track record of research in a relevant area and to be connected to both the academic community and industrial practice. Experience of working on other blockchain projects is a plus but not a requirement.

What You’ll Be Doing

• We expect you to be an expert in your field and to apply your knowledge and expertise to come up with solutions relevant to what Matter Labs is building.
• We expect you to work with both research scientists as well as engineers and engineering managers to get what you produce deployed.
• We expect you to be a member of the academic community and to read and possibly write papers, listen and possibly give presentations, in order to stay abreast of the most recent developments as they happen.

What We Look For In You

• Experience in one (or more) of the following areas: performance (distributed systems, runtimes, networking stack), security, verification and/or machine learning.
• A PhD in computer science or related discipline.
• A track record of research relevant to or deployed in an industrial setting.
• Ability and willingness to produce technical blogs, reports, and papers.
• Deep understanding of software engineering best-practices.
• Ownership mindset and a track record of successfully accomplished projects.
• In-depth knowledge of common algorithms, data structures, and their computational & memory complexities.
• Proven publication history.
• Experience implementing complex prototypes both from scratch and based on existing code bases.
• Ability to produce code that leads to industrial deployment.
• English is your native language or you are completely fluent.

Working at Matter Labs

At Matter Labs, you have the freedom to work how you want, when you want, and from where you want. All positions are 100% remote (with optional travel to team and/or industry events). We operate in lean and nimble teams, with no time tracking and minimum bureaucracy. We move fast. Only results matter. We will provide you with everything you need to learn, grow, and be productive.

Our results-only environment means anyone who believes in our mission can join us, regardless of background, sexual orientation, race, gender, and age. Both our team and community are made up of people from diverse backgrounds. That’s why, out of politeness and respect, we refrain from opinions on politics, religion, or sex at the workplace.

We designed our culture around the tenants of freedom and ownership. This ethos will underpin our positive-sum community as we evolve toward full decentralization.

If this role resonates with you, apply now for prompt feedback.

Important: We are remote-first, operating in the timezones between UTC-5 (Latam and Atlantic Coast) to UTC+7 (South-East Asia). While we’re currently not hiring in the US, we do consider US-based applicants willing to relocate.

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JOB TITLE Research ScientistLOCATION WorcesterDEPARTMENT NAME Mechanical Engineering - NFR JMDIVISION NAME Worcester Polytechnic Institute - WPIJOB DESCRIPTION SUMMARY We are seeking a highly skilled and driven individual with expertise in materials science and mechanical engineering to lead a project in materials and structures for extreme environments. This initiative is a collaborative venture between aerospace corporate partners and a multi-disciplinary team of researchers at WPI with the goal of developing novel coating technologies to enhance the durability and reliability of engine blade components. The Research Scientist position will involve designing methodology/setups and conducting experiments that will contribute to the development of novel thermal barrier coatings for advanced turbine airfoils. The candidate should be prepared to work in a fast-paced environment, which requires regular reports and presentations to research sponsors.WPI is passionate about creating an inclusive workplace that promotes and values diversity. We encourage applications from candidates who can support our commitment to equity, diversity, and inclusion.JOB DESCRIPTION Responsibilities Design experimental methodology/setups for thermal gradient testing of thermal barrier coatings (TBCs) in engine turbine blades under high temperatures and aggressive environments Conduct spallation life testing of TBCs under a thermal gradient to assess the effect of factors such as temperature, cycle, and loading conditions on the life of TBCs Serve as a technical and programmatic liaison to engineers and scientists at our corporate partners on the development of testing methods and conducting testing of TBCs Coordinate with the research team at WPI on experimental investigations and modeling to quantify mechanical and interfacial behavior of TBCs Coordinate with the research team at WPI for experimental investigations and modeling of thermo-mechanical fatigue of superalloys used in engine turbine blades Train personnel (graduate students, post-doctoral fellows, corporate researchers on testing methods, analysis, and characterization Collaborate with WPI faculty from various departments to deliver technical results and progress in the form of technical reports, publications, and presentations Required Skills Ph. D. in Materials Science and Engineering, Mechanical Engineering, Aerospace Engineering, Applied Physics, or related fields Practical knowledge of design of experimental setups and standard lab practices Experience in experimental mechanics (in particular, mechanical testing, thermal and environmental testing, and basic material characterization (SEM, TEM, EBSD)) Ability to work independently and in large multi-disciplinary teams Excellent oral and written communication skills Desired Skills Experience designing, building, and conducting experiments that involve combustion and high temperature Experience with data acquisition, instrumentation, and/or signal conditioning Experience in the mechanical and thermal testing of coatings/thin films Basic knowledge of mechanics of materials (thermo-mechanical fatigue, creep, fracture mechanics), interface adhesion testing, and life predictions Basic knowledge of numerical modeling and finite element software Required Documents Cover Letter / Statement of Interest Curriculum Vitae List of References FLSA STATUS United States of America (Exempt)WPI is an Equal Opportunity Employerthat actively seeks to increase the diversityof its workplace. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status,or disability. It seeks individuals withdiverse backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination. Thank you for your interest in a career with Worcester Polytechnic Institute. You may review the status of your application on your candidate home account. Please continue to check for new openings and follow our social media links to stay up to date on what is happening at WPI. WPI strives to provide very competitive and comprehensive benefits ranging from health insurance, retirement, tuition assistance, flexible spending accounts, work-life and much more. If you want a new challenge and want to make a difference, then WPI can help you get there! WPI is a vibrant, active, and diverse community of world-renowned faculty, extraordinary students, and dedicated staff—all committed to changing the world. At WPI, we have competitive and comprehensive benefits, including health insurance, retirement, tuition assistance, flexible spending accounts, work-life balance and much more. WPI is committed to creating an inclusive workplace culture where everyone feels valued and respected; a place where every student, faculty and staff member can belong, so that they can study, live, and work comfortably, to reach their full potential, and make meaningful contributions in order to meet departmental and institutional goals. WPI thrives on innovative practice and welcomes diverse perspectives, insight, and people from diverse lived experiences, to enhance the community environment and propel the institution to the next level in a competitive, global marketplace. Please take the time to read our diversity r ecruitment brochure showcasing testimonials from many of our employees who come from diverse backgrounds and contribute to the vibrant and inclusive community at WPI. #J-18808-Ljbffr