Corning is one of the world’s leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people’s lives.

At Corning, our growth is fueled by a commitment to innovation. We succeed through sustained investment in research & development, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges. We are a four-time National Medal of Technology winner thanks to our technology leadership and R&D environment, which attract and enable the best scientific minds in the world. This pipeline of talent has brought life-changing innovation to your fingertips for more than 160 years.

 

Corning’s summer internship experience is rich with hands-on learning. You’ll live, work, and experience the communities in which Corning operates, while building on-the-job skills. As our Intern, you will be responsible for developing applications and infrastructure to support Corning’s materials informatics initiatives. Candidates must have experience in one or more programming languages. This position requires good communication and interpersonal skills for collaboration with remote team members.

 

The purpose of our Intern Program is to raise the bar on talent by strengthening our pipeline for entry level roles for immediate and future needs.

 

To be considered for an internship at Corning Incorporated, you must be actively enrolled at a college or university as a full-time student seeking a bachelor’s degree or higher. You must also have a current cumulative GPA of 3.00 or higher (on a 0.00 to 4.00 scale).

 

Shape your future; apply with us today!

 

Program Benefits:

• Competitive salaries
• Housing assistance
• Travel reimbursement

 

Intern Activities:

• Social and networking events
• Volunteer opportunities
• Community Involvement

 

Day to Day Responsibilities:

• Work as part of a larger project team on various aspects of software engineering
• Under the direction of project managers, provide support to the larger team goals of developing software to enable the use of scientific information generated in Research and Development
• Work with design experts and users to consider the user experience
• Write supporting documentation as necessary for long-term maintenance purposes

 

Travel requirements (please note if international):

• Anticipated travel time <10% (domestic).

 

Hours of work/work schedule/flex-time:

• M-F; 40 hours per week
• Some flexibility required
• Duration: Summer 2021, 8-12 weeks

 

Education and Experience (minimum required for consideration):

• Pursuing Bachelor of Science or Master’s degree in Computer Science or Software Engineering
  • Will also consider engineering majors with accompanying strong software skills
• To qualify for internship, students must be enrolled for school in Fall of 2021. Bachelor's students should be going into senior year (or 2nd year for graduate students).

 

Required Skills:

• Working knowledge of Linux and Windows operating systems
• Foundational knowledge of software algorithms, data structures and design principles with a proven ability to design and build code
• Experience with multiple programming languages including Python
• Basic understanding of data science and statistical principles

 

Desired Skills:

• Strong Python programming skills
• Data science skills
• Experience with semantic web technologies
• Experience with research processes, either from undergraduate or graduate research projects
• Experience with basic software development tools such as git

 

Soft Skills (Communication/Team/Leadership):

• Must be self-motivated to deliver meaningful results as required by project
• Collaborative and able to openly engage with colleagues from diverse cultures, disciplines and backgrounds to achieve project goals
• The ability to communicate effectively by phone and video with team members in multiple locations
• The ability to deal with uncertainty

 

This position does not support immigration sponsorship

 

We prohibit discrimination on the basis of  race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, or veteran status or any other legally protected status.

 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Corning is one of the world’s leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people’s lives.

At Corning, our growth is fueled by a commitment to innovation. We succeed through sustained investment in research & development, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges. We are a four-time National Medal of Technology winner thanks to our technology leadership and R&D environment, which attract and enable the best scientific minds in the world. This pipeline of talent has brought life-changing innovation to your fingertips for more than 160 years.

Corning’s summer internship experience is rich with hands-on learning. You’ll live, work, and experience the communities in which Corning operates, while building on-the-job skills. As our Intern, you will be responsible for analyzing data to solve problems and/or quantify behaviors in the field of materials science. This position requires good communication and interpersonal skills for collaboration with remote team members.

 

The purpose of our Intern Program is to raise the bar on talent by strengthening our pipeline for entry level roles for immediate and future needs.

 

To be considered for an internship at Corning Incorporated, you must be actively enrolled at a college or university as a full-time student seeking a bachelor’s degree or higher. You must also have a current cumulative GPA of 3.00 or higher (on a 0.00 to 4.00 scale).

 

Shape your future; apply with us today!

 

Program Benefits:

• Competitive salaries
• Housing assistance
• Travel reimbursement

 

Intern Activities:

• Social and networking events
• Volunteer opportunities
• Community Involvement

 

Day to Day Responsibilities:

• Gather existing data and/or generate physics-based information to solve technical problems in a material’s focused research facility
• Apply appropriate data analysis tools including, but not limited to, statistical methods, neural networks, genetic algorithm and gaussian processes
• Work under the mentorship of senior researchers to solve technical problems using the aforementioned approaches
• As necessary, present findings to larger project teams to aid in fundamental understanding

 

Travel requirements (please note if international): Anticipated travel time <10% (domestic).

 

Hours of work/work schedule/flex-time:

• M-F; 40 hours per week
• Some flexibility required
• Duration: Summer 2021, 8-12 weeks

 

Education and Experience (minimum required for consideration):

• Pursuing degree in Data Analytics or Mathematics with a preference for students who have some formal classes in a scientific discipline such as physics, materials or engineering
• Enrolled or completed formal classes in data analytics, statistics or mathematics
• To qualify for internship, students must be enrolled for school in Fall of 2021.

 

Required Skills:

• Experience in data driven and predictive modeling
• Analytical experience using any mix of software/programming languages including, but not limited to MATLAB/Octave, Mathematica, C++, Fortran, R, Python, VB.net, Julia
• Advanced familiarity with applications of Python packages including, but not limited to TensorFlow, Keras, PyTorch for Regression, Classification and Reinforcement Learning
• Ability to collaborate closely with scientific community, business leaders and management
• Good written and verbal communication skills

 

Desired Skills:

• Interest in real world applications of analytical methods to solve problems in a science and technology environment
• Experience with any Graphical User Interface development is a plus

 

Soft Skills (Communication/Team/Leadership):

• Must be self-motivated to deliver meaningful results as required by project
• Collaborative and able to openly engage with colleagues from diverse cultures, disciplines and backgrounds to achieve project goals
• The ability to communicate effectively by phone and video with team members in multiple locations

 

This position does not support immigration sponsorship

 

We prohibit discrimination on the basis of  race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, or veteran status or any other legally protected status.

 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

 

The Mobile Communications & Networking department has multiple intern positions available for graduate students during summer 2021. We have an active research program with focus on wireless communications, sensing and networking. During this summer, we aim to continue our current activity as well as create seeds for new directions.

We are looking for summer interns in the following areas:

a) Localization and Tracking: Design and build innovative wireless tracking solutions that can operate in resource-constrained (infrastructure cost, energy, etc.) environments; scope ranges from ultra low power wireless tracking tags to intelligent sensor fusion (visual, RF, acoustic, etc.) approaches for collaborative, immersive applications.

b) Applications over mmWave networks: Context-aware, real-time 3D reconstruction using autonomous agents (AGVs, self-driving vehicles, etc.) operating over local 5G mmWave networks for enabling digital twin applications in industrial environments.

c) mmWave Networks: Designing and implementing new beam-selection algorithms and codebook designs in mmWave base-stations on a test-bed deployed within NECLA campus and evaluating their performance. Explore the use of directional mmWave transmissions for positioning applications.

 

d) Wireless Sensing: Design and implement new wireless sensing hardware architecture and algorithms that can track and identify human activity in an indoor environment. Scope for sensor technology includes UWB and mmWave radars, and includes solutions for collaborative/cooperative sensing solutions using multiple devices. Explore the use of AI/ML techniques in improving sensor and activity detection accuracy.

 

We are seeking candidates with experience in building embedded wireless systems, low-power RF design, applied machine learning for wireless sensing, AR/VR systems, beamforming and code-book design, and in general extensive hands-on systems building experience, as appropriate for the areas outlined above.

 

For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at https://www.appone.com/MainInfoReq.asp?R_ID=3377319.

 

Equal Opportunity Employer

The System Security team has multiple spring/summer internship openings in the areas of security with the focuses on advanced persistent threats (APT), Internet of Things (IoT) security, critical infrastructure security (e.g., ICS, SCADA systems), web application security, and automotive system security. We are solving real world problems and building research prototypes to defend against cyber-attacks in hot research areas. If you have interest or have been working on these areas, please apply for our internships! The internship typically produces high quality publications, patents, and the implementation of a research prototype. Our previous intern works have been incorporated into NEC product prototypes and resulted in publications in top conferences such as USENIX Security, ACM CCS, NDSS, ACM SIGMETRICS, CIKM and VLDB etc.

 

Candidates should be pursuing a PhD or be engaged in active research and have strong system design and building skills. We have multiple intern positions that cover a diverse set of research directions. Previous hands-on experience on any of the following topics is a plus:

• Familiar with threat hunting and attack forensics, especially on system provenance graphs
• Familiar with threat intelligence and its applications
• Familiar with vulnerability analysis, log analysis, and network traffic analysis in the security context
• Experiences with real-world penetration testing and tools, such as Metasploit
• Security knowledge in areas of 5G, IoT, automotive, web security, critical infrastructure
• Natural language processing techniques in security applications
• Machine learning and AI (especially deep neural networks)
• Strong system building skills

 

NEC Laboratories America is located in Princeton, NJ, home of the Princeton University and one of New Jersey's most beautiful and idyllic towns. The area offers many exciting cultural, entertainment and outdoor activities. The office is minutes away from Princeton University and an hour from New York, Philadelphia, and the Atlantic Ocean.

 

For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at https://www.appone.com/MainInfoReq.asp?R_ID=3342481.

 

Equal Opportunity Employer

 

 

The Data Science team (http://www.nec-labs.com/research-departments/data-science-systems-research/data-science-systems-research-home) aims to build novel big data solutions and service platforms that simplify complex computer systems management, and to develop new information technology that supports innovative applications, from big data analytics to the Internet of Things. Our research is both experimental and theoretical, covering many domains in data science and systems research, such as: time series mining, graph mining, deep learning, text mining, anomaly detection, signal processing, cloud computing, data centers, software-defined networking and streaming processing. The goal of our research is to fully understand the dynamics of big data from complex systems, retrieve patterns to profile them and build innovative solutions to help end user managing those systems.  We have built a number of analytic engines and system solutions to process and analyze big data and support various applications in detection, prediction and optimization. Our research leads to both award-winning NEC products and publications in top conferences.

Currently, the group has multiple summer intern positions available for graduate students. We are seeking self-motivated graduate students in the area of artificial intelligence, machine learning and data mining. Candidates are expected to conduct research with massive data from physical and IT systems and build applications to solve real and complex problems. He/she must be enrolled in a PhD program in CS/CE with strong publication records on the following topics:

• Machine learning and AI (especially deep neural networks)
• Data mining and statistical learning
• Time series analysis and prediction
• Text mining, neutral language processing and information retrieval
• Graph and information network mining
• Large scale optimization and reinforcement learning

 

NEC Laboratories America is located in Princeton, NJ, home of the Princeton University and one of New Jersey's most beautiful and idyllic towns. The area offers many exciting cultural, entertainment and outdoor activities. The office is minutes away from Princeton University and an hour from New York, Philadelphia, and the Atlantic Ocean.

 

For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at https://www.appone.com/MainInfoReq.asp?R_ID=3342469.

 

Equal Opportunity Employer

The Optical Networking and Sensing department invites applications for summer 2021 internships. We are seeking individuals with background in machine learning, deep learning, computer vision, and/or statistical signal processing to work on developing innovate algorithms and solutions for intelligent sensing problems. The successful candidate will have an opportunity to research and develop innovative tools to extract useful information from large-scale data generated by our own distributed optical fiber sensing system and make a practical impact on our future products and solutions for safety & security, smart city, infrastructure health monitoring, etc.

Ongoing projects include anomaly detection, object detection, localization and tracking, video/audio data fusion, signal enhancement, domain adaptation, data augmentation, predictive modeling, and source localization.

 

This internship has a minimum 12-week duration.

 

Requirements:

• Currently enrolled in PhD/MSc program in electrical engineering, computer science, statistics, applied mathematics, or equivalent
• Expertise in one of more of the following areas: deep learning, computer vision, acoustics, array signal processing, real-time processing, time-series analysis, and/or statistical modeling
• Excellent programming skills in Python or MATLAB, experience with deep learning frameworks (Pytorch, Tensorflow) is a plus
• Publication record in top conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, IJCAI, AAAI, and ICASSP) is a plus
• Good presentation and collaboration skills

 

For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at https://www.appone.com/MainInfoReq.asp?R_ID=3341079.

 

Equal Opportunity Employer

Research Intern – Media Analytics

The Media Analytics Department in San Jose, California, is offering research internships in computer vision for summer 2021. If you are interested in 3D scene understanding, representation learning, privacy and fairness in computer vision, then an internship at NEC Labs is ideal for you. Our interns published 10 papers in CVPR 2020 and ECCV 2020, on topics ranging across 3D reconstruction, segmentation, action recognition, domain adaptation, privacy and multimodal future prediction.

To check out our latest work, please visit: https://www.nec-labs.com/media-analytics/

If you are as thrilled as us about the rapid advance of computer vision, join us for a fun-filled summer 2021!

 

Requirements:

• PhD student in Computer Science (or equivalent)
• Strong research background in computer vision or machine learning
• Experience with one or more major deep learning frameworks

 

For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at https://www.appone.com/MainInfoReq.asp?R_ID=3339281.

 

Equal Opportunity Employer

The Machine Learning Department of NEC Labs America invites applications for summer and fall 2021 internships.  We have research projects covering many areas of machine learning. The internship will involve research and development of novel machine learning algorithms with applications in image/video analysis, natural language processing, big data analytics, bioinformatics, and health care. Our internships normally result in high-quality publications. Minimum duration of the internships are usually 3 months and the exact dates are flexible.

The Machine Learning group (located at Princeton, NJ) conducts research on various aspects of machine intelligence and reasoning, from the exploration of new algorithms to applications in computer vision, semantic comprehension, and bioinformatics. Our researchers have extensive expertise in theoretical and application aspects of machine learning, as well as in the development of parallel algorithms for large-scale data analysis.

Ongoing projects focus on text understanding, machine reasoning, deep generative models, robust representation learning, few-shot/zero-shot learning, interpretable models, data visualization, deep learning systems, and deep reinforcement learning, among others. Publishing is an integral part of our activities as a means for calibrating the quality of the research and to ensure staying at the forefront of technology. Application projects emphasize technologies that solve real world problems, and many of our research results have been and will be transferred into industry products.

 

Requirements:

• Currently enrolled in PhD/MSc program in computer science, statistics, electrical engineering, computational biology, or equivalent.
• Research experience in machine learning.
• Strong computational background.
• Strong programming and scripting skills.
• Strong communication and collaboration skills.

 

For more information about NEC Labs, please access http://www.nec-labs.com/, and submit your CV and research statement through our career center at:  https://www.appone.com/MainInfoReq.asp?R_ID=3316386.

 

Equal Opportunity Employer

Adobe Research  2021 Call for Interns

Adobe Research is looking for its next cohort of brilliant minds who are excited about advancing the state of the art in research areas that impact Adobe’s products. Research and Engineering internships for Spring, Summer, and Fall of 2021 are now open to applicants pursuing PhD and Master’s degrees in the following areas: AR, VR & 360 Photography, Audio, Computer Vision, Imaging and Video, Data Science & Machine Learning, Document Intelligence, Engineering, Graphics (2D & 3D), Human Computer Interaction, Multimedia Systems, Natural Language Processing, Large Scale Distributed Systems & Data Intelligence, Systems and Languages. All 2021 internships will be remote. Apply now for a 2021 internship via our website. Apply Now  Collaborating directly with one or more researchers, interns will have access to robust computational resources and world-class product and design teams. Work by Adobe Research interns is presented at top-tier academic conferences and may be integrated into Adobe’s software, reaching millions of screens across the globe. Adobe Research is especially interested in fostering ongoing collaborations that last beyond the internship, and that may contribute to an intern’s PhD thesis.  Adobe Research was recently named an "Innovative Team of the Year" by Fast Company. Meet our Researchers.

Diversity and Inclusion

Diversity of thought and experience strengthens our teams and helps us create great products and services for our diverse customers around the world. In order to attract, hire, and develop candidates of all genders, ethnicities, and backgrounds, we work to ensure inclusivity and fairness in our sourcing, interview and hiring processes. Find out what Adobe is doing to Advance Diversity and Inclusion.

• Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code
• Back test and implement trading models and signals in an active, live trading environment
• Use unconventional data sources to drive innovation
• Conduct research and statistical analysis to build and refine monetization systems for trading signals

• Advanced training in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field (Bachelors, Masters, PhD degree)
• Strong knowledge of probability and statistics (e.g. machine learning, time-series analysis, pattern recognition, NLP)
• Background working in a data driven research environment
• Experience with NoSQL databases (e.g. MongoDB), distributed computing (e.g. MapReduce), and analytical packages (e.g. R, Matlab)
• Independent research experience
• Excellent analytical skills, with strong attention to detail
• Strong written and verbal communications skills