Post-doctoral Research Associate in Natural
hace 1 mes
**Who are we?**:
**Amaris Consulting** is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,500 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
**Brief Call**: Our process typically begins with a brief virtual/phone conversation to get to know you The objective? Learn about you, understand your motivations, and make sure we have the right job for you
**Interviews** (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities
**Case study**: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
We look forward to meeting you
**Job description**:
**Responsibilities**:
- Conduct cutting-edge research in NLP and machine learning, including but not limited to topic modeling, text classification, information extraction, named entity recognition, text summarization, sentiment analysis, and semantic parsing/understanding.
- Publish research findings in leading academic venues and contribute to the scientific community.
- Collaborate with other researchers within the company on multi-disciplinary projects.
- Create innovative solutions that can be applied to real-world problems.
- Maintain up-to-date knowledge of the latest research advancements in the field by attending conferences and reviewing literature.
- Work closely with software engineers to implement algorithms into prototypes and deliverable systems.
- Communicate complex research concepts effectively both verbally and in writing to technical and non-technical audiences alike.
**About You**
- A Ph.D. degree holder specializing in Computer Science or related fields such as Machine Learning or Artificial Intelligence
- Demonstrated ability to conduct independent research evidenced by published papers at top-tier conferences/journals
- Expertise in Python is essential, and knowledge of R will be highly valued. Familiarity with other programming languages such asJava, Scala, or C++ is a plus
- Experience with machine learning frameworks like TensorFlow, PyTorch, and/or Keras
- In-depth knowledge of deep learning, including familiarity with neural network architectures such as convolutional networks, transformers, and long language models.
- Extensive experience in NLP from initials steps (such as text processing) to the development of specific tasks (such as topic modeling, text classification, information extraction, named entity recognition, text summarization, and sentiment analysis)
- Proficiency in working with word/document embeddings, such as BERT, GloVe, ELMo, and similar techniques
- Strong analytical skills and ability to handle complex data sets, particularly those originating from the field of life sciences
- Excellent written and verbal communication skills in English
- Able to work collaboratively within a team but also independently when required.
- We are looking for someone who is passionate about their field of study and eager to make an impact. If you believe that you fit this profile, we would love to hear from you
**What can you expect?
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