Research Intern in Engineering Knowledge Discovery and Decision-Making - Summer Internship
Siemens
Research Intern in Engineering Knowledge Discovery and Decision-Making - Summer Internship
Company OverviewSiemens Foundational Technology (FT), the central R&D department of Siemens, plays a pivotal role in shaping the future of our products. Acting as a strategic partner, FT supports Siemens' executive units with a primary research focus on future technologies for industry, infrastructure, mobility, and healthcare.
We need your help to conduct fundamental and applied research in the field of understanding engineering decisions for complex systems. You will be collaborating with leading academic institutions and government agencies as part of this role. Our goal is to model how engineers understand and solve the most complex design challenges by leveraging AI techniques and mimic human reasoning capabilities! You will collaborate with the research team at Siemens Foundational Technology in Princeton, NJ.
In this role you will work on-site in Princeton, NJ. The position is a full-time position for at least 3 months and remote work is not available.
The challenge:During this internship, the candidate will experience the excitement and challenges of industrial research and be part of a world class team. This person will:Contribute to the task of developing knowledge synthesis and reasoning framework.Contribute to the task of developing autonomous decision-making agent in complex environments.Work on fast-paced co-creation project with quickly changing requirements in the field of program analysis and synthesis.Work on low-TRL research projects.Develop prototypes and proof of concepts, as appropriate.Develop demonstrators and participate in technology transition to business.Create technical reports.Create academic publications.
Education and Experience:Required:PhD candidate students in Computer Science, Computational Cognitive Science, Applied MathematicsResearch specialization in the program synthesis and/or knowledge discovery from unstructured information.Research specialization in decision-making methods such as reinforcement learning.Experience with programming languages such as C++, Python, R, or MATLAB.Preferred:Familiar with techniques in probabilistic programming and probabilistic graphical models. Familiar with operating on graph-structured data.
Basic Qualifications:Experience in advancing AI/ML techniques including core contributions to open-source libraries and frameworks in computer vision.Advanced programming skills in Python, C, or MATLAB.Proficiency in English, both written and verbal.
Preferred Skills:Strong analytical and problem-solving skillsAbility to work independently and as part of a team.Familiarity with large reasoning models and handling multiple modalities.Proficiency in Python and PyTorch..Knowledge of advanced statistical methods and data visualization techniques.Strong organizational and project management skills.
You’ll benefit from: Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html. The pay range for this position is $36.00-$45.00 per hour. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Create a better #TransformtheEveryday About Siemens: We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Our Commitment to Diversity, Equity, and Inclusion: We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. Learn more about our commitment to DEI here. Protecting the environment, conserving our natural resources, fostering the health and performance of our people as well as safeguarding their working conditions are core to our social and business commitment at Siemens. They are an integral part of our Business Conduct Guidelines and our corporate strategy. #LI-JS#LI-ON-SITE
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
Reasonable Accommodations
If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.
EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.
Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.
California Privacy Notice
California residents have the right to receive additional notices about their personal information. To learn more, click here.
Criminal History
Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.
Company OverviewSiemens Foundational Technology (FT), the central R&D department of Siemens, plays a pivotal role in shaping the future of our products. Acting as a strategic partner, FT supports Siemens' executive units with a primary research focus on future technologies for industry, infrastructure, mobility, and healthcare.
We need your help to conduct fundamental and applied research in the field of understanding engineering decisions for complex systems. You will be collaborating with leading academic institutions and government agencies as part of this role. Our goal is to model how engineers understand and solve the most complex design challenges by leveraging AI techniques and mimic human reasoning capabilities! You will collaborate with the research team at Siemens Foundational Technology in Princeton, NJ.
In this role you will work on-site in Princeton, NJ. The position is a full-time position for at least 3 months and remote work is not available.
The challenge:During this internship, the candidate will experience the excitement and challenges of industrial research and be part of a world class team. This person will:Contribute to the task of developing knowledge synthesis and reasoning framework.Contribute to the task of developing autonomous decision-making agent in complex environments.Work on fast-paced co-creation project with quickly changing requirements in the field of program analysis and synthesis.Work on low-TRL research projects.Develop prototypes and proof of concepts, as appropriate.Develop demonstrators and participate in technology transition to business.Create technical reports.Create academic publications.
Education and Experience:Required:PhD candidate students in Computer Science, Computational Cognitive Science, Applied MathematicsResearch specialization in the program synthesis and/or knowledge discovery from unstructured information.Research specialization in decision-making methods such as reinforcement learning.Experience with programming languages such as C++, Python, R, or MATLAB.Preferred:Familiar with techniques in probabilistic programming and probabilistic graphical models. Familiar with operating on graph-structured data.
Basic Qualifications:Experience in advancing AI/ML techniques including core contributions to open-source libraries and frameworks in computer vision.Advanced programming skills in Python, C, or MATLAB.Proficiency in English, both written and verbal.
Preferred Skills:Strong analytical and problem-solving skillsAbility to work independently and as part of a team.Familiarity with large reasoning models and handling multiple modalities.Proficiency in Python and PyTorch..Knowledge of advanced statistical methods and data visualization techniques.Strong organizational and project management skills.
You’ll benefit from: Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html. The pay range for this position is $36.00-$45.00 per hour. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Create a better #TransformtheEveryday About Siemens: We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Our Commitment to Diversity, Equity, and Inclusion: We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. Learn more about our commitment to DEI here. Protecting the environment, conserving our natural resources, fostering the health and performance of our people as well as safeguarding their working conditions are core to our social and business commitment at Siemens. They are an integral part of our Business Conduct Guidelines and our corporate strategy. #LI-JS#LI-ON-SITE
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
Reasonable Accommodations
If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.
EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.
Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.
California Privacy Notice
California residents have the right to receive additional notices about their personal information. To learn more, click here.
Criminal History
Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.
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