believe we can better understand human cognition
processes by exploring computational techniques that learn from how we
represent information in our languages? Are you excited about advancing the
fields of Information Retrieval, Natural language Generation and Understanding
to better capture pragmatics and semantics? Do you understand first-order logic limits in representing time
and modality? Or why inferring world commonsense
knowledge is hard? Did you build algorithms to capture meaning and
knowledge from discourse analysis?
answered YES! to these questions and more
alike, come and join our team NOW, we NEED you!
Corporate Technology is looking for a talented Research
Scientist with deep know-how and interest in Cognitive Science, who would like to join our Product Design,
Modeling and Simulation (PSM-US) Research Group of the “Simulation and
Digital Twin” Technology Field, in the Tri-state area.
need your help to build the world's most advanced modeling, simulation and optimization
technology stack for large scale AI-driven
engineering and manufacturing toolchains , in collaboration with our
partner startups, leading academic institutions and government agencies. We're currently bringing onboard talented
scientist like you to research and build our NLP
pipelines to support identification of semantics and pragmatics emerging
from engineering documentation and data artifacts. Our goal is eventually to model how engineers understand and solve the most
complex design challenges through studying how their represent
requirements, document their design of experiments and devise solutions from
prior knowledge and pre-existing documentation!
Our team is composed of makers, innovators, engineers and
scientists with deep technical expertise, who are passionate about
disruptive technologies in the areas of Modeling, Simulation, Engineering,
Artificial Intelligence and Optimization. Our deliverables enable the
successful transformation of the technology trends in Digital Twin into the business of the future for a
multitude of customer products and services.
Experienced candidates in these areas as well as those with
advanced degrees who have research background in these topics with the skills
and interest in applying their research and introducing innovative technologies
into Siemens products are encouraged to apply!
want to teach machines to model, simulate and optimize parts, products and
systems better than ever before and become perfect companions for engineers in
need to accelerate by 1000x their workflows. Our mission is to free engineers
from the burden of repetitive and non-creative tasks and allow them to truly
explore the immensity of their design spaces, efficiently and with confidence
in the results.
team is located in the wonderful Princeton NJ, a university town packed with
outstanding international talent that provide a unique feel to this true
cultural gem in the state. The town has plenty of activities to offer, but for
those looking for more, at just about 1-h drive we have NYC or Philly! We have the best public
schools in the country and all of the above glued together by a very active and
The candidates will be responsible for:
- Lead the NLP research agenda within the research group
with specific focus toward applications in engineering, design, and
- Maintain and grow the existing network with academia and
- Identify, evaluate and implement new natural language
processing techniques to analyze text and derive meaning, in collaboration
with technology startups, leading academic institutions and government
- Communicate complex ideas and testing results
effectively, both orally and in writing, and provide recommendations and
support to internal engineering teams through accurate and effective
- Seeking advocacy from Siemens business units on
potential use cases, while educating and transferring
technologies back to Siemens businesses for product implementations.
- Collaborating with others, both within and outside
Siemens, to develop successful research proposals for external
funding that align with Siemens strategic direction.
- PhD in Computational neuroscience, Computational
cognition, Mathematics, Computer Science, Physics, Linguistics, or
equivalent, with 2+ years of related experience, with a well-established
research track record as demonstrated by publications and open source
- Strong publication track record in top conferences.
- Outstanding coding skills in Pyton, R, C++ and ability
to write high quality code, “code it right the first time”
- Familiarity with NLP/ML tools and packages like Caffe,
pyTorch, TensorFlow, Weka, scikit-learn, nltk, et al.
- In-depth knowledge of machine learning
algorithms and ability to apply them in data driven natural language
processing systems, (e.g. RNNs, CNNs, LSTM, etc.. for natural language
generation and understanding).
- Strong mathematical fundamentals, including but not
limited to linear algebra, numerical methods and optimization.
- Experience in implementing lifelong learning algorithms,
interfacing with IR and NLP pipelines and capable of extracting semantics
from text and abstracting concepts via prababliistic graphical networks.
- Good communication and organization skills, with
a logical approach to problem solving, good time management and task
prioritization skills, with motivation to learn and use new technologies,
work under uncertainty at fast pace, and ability to multitask and make key
contributions to several projects