Intern Knowledge Graphs for Circular Economy
Intern Knowledge Graphs for Circular Economy
Posted on :
25-12-2024
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1 Vacancy
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Job Description
- Assist in the research design and implementation of Graph Neural Networks (GNNs) and related models for realworld problems.
- Develop and implement node embedding techniques (e.g. DeepWalk Node2Vec GraphSAGE) to generate highquality vector representations for graph nodes.
- Work with largescale graphstructured data in the domain of sustainability.
- Modify ontology to address usecases.
- Participate in experiments to test new graphbased machine learning methods optimizing for both performance and accuracy.
- Collaborate with team members to integrate graphbased models into existing machine learning pipelines and production systems.
- Stay uptodate with the latest research and advancements in the field of graphbased machine learning.
Qualifications :
- Enrolled in a relevant undergraduate or graduate program in Computer Science Information Science Data Science or a related field.
- Strong understanding of knowledge graph concepts ontologies and semantic technologies.
- Proficiency in programming languages such as Python Java or RDFbased languages.
- Familiarity with data integration linked data principles and graph databases (e.g. RDF OWL).
- Familiarity with Graph Theory and Machine Learning such as Graph Neural Networks (GNNs) Graph Convolutional Networks (GCNs) Graph Attention Networks (GATs) or similar models.
- Basic understanding of node embedding techniques like DeepWalk Node2Vec or GraphSAGE
- Experience with graph database systems and query languages (SPARQL).
- Strong analytical and problemsolving skills.
- Effective communication and collaboration skills in a team environment.
- Eager quick learner with a strong teamwork spirit.
Additional Information :
- Candidate should fulfil the visa requirements for employment in Singapore
- Applicant must be enrolled in fulltime studies throughout internship period or plan to pursue further studies.
- Candidate should be available for full time work for 46 months
- For foreign students studying overseas you must be eligible for the Work Holiday Programme (WHP)
Remote Work :
No
Employment Type :
Intern
Employment Type
Intern
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