Research Scientist SCIS

HYPERSCAL SOLUTIONS PTE. LTD.; Greater London; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading academic research institution is seeking a qualified candidate for a research role focusing on knowledge recombination and idea success. The role involves conducting analytics on large-scale networks, constructing knowledge graphs, and performing semantic analysis. Applicants should have a PhD in related fields, strong programming skills in Python and R, and demonstrate experience in network analytics and data processing. The position is designed for those who are self-motivated and thrive in a collaborative research environment.

Benefits

Competitive compensation packages

Generous professional development opportunities

Qualifications

• Minimum PhD degree in Computer Science, Information Systems, Data Science, AI, or related fields.
• Proficiency in Python and R with relevant libraries.
• Experience in network analytics and graph-based modeling.
• Knowledge of knowledge graph construction and semantic embedding.

Responsibilities

• Conduct research on knowledge recombination and idea success.
• Collect, clean, and preprocess large-scale idea data.
• Construct and analyze knowledge graphs.
• Develop econometric models to examine network impacts.
• Prepare research manuscripts and presentations.

Skills

Python

R

Network analytics

Data analysis

NLP

Education

PhD in Computer Science or related fields

Tools

BERT

Sentence-BERT

Job description

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The ‘family-like’ atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university. Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on knowledge recombination and idea success in online platforms, focusing on network analytics, knowledge graph construction, and semantic analysis using large-scale idea networks. Successful candidate will be part of an active research team led by Prof TANG Qian from School of Computing and Information Systems (SCIS), Singapore Management University (SMU).

Candidate’s core responsibilities are:

• Collect, clean, and preprocess large-scale idea network and text data from online platforms.
• Construct and analyze knowledge graphs and network structures, including measures such as embeddedness, bridging, and structural holes.
• Perform semantic and machine learning analyses, including generating embeddings with LLMs (e.g., BERT, Sentence-BERT) and conducting topic modeling.
• Develop and implement econometric and statistical models to examine the impacts of network attributes and knowledge diversity on idea success.
• Prepare research manuscripts, presentations, and reports for journal/conference submissions.
• Support academic activities, such as workshops, research meetings, or seminars related to the project. Contribute to software tools, scripts, or code libraries developed during the project for reproducibility and future use.
• Other duties as assigned.

QUALIFICATIONS

• Minimum PhD degree in Computer Science, Information Systems, Data Science, AI, Statistics, Computational Social Science, or closely related disciplines from a reputable institution of higher learning; with particular focus on network analytics, knowledge graph, or natural language processing (NLP).
• Proficiency in programming software/languages such as Python and R is required, including experience with relevant libraries for data analytics, network analysis, and machine learning.
• Proven track record and professional experience in network analytics, graph-based modeling, and large-scale data processing.
• Demonstrated experience and know-how on knowledge graph construction, semantic embedding (e.g., BERT), LLMs, and NLP.
• Excellent working knowledge of network analysis methods (e.g., eigenvector centrality, structural holes, PageRank).
• Technical skills in data collection, preprocessing, and visualization of large-scale network and text data.
• Ability to break down complex problems and design effective solutions computationally.
• Innovative mindset with the ability to propose and implement novel analytical approaches.
• Applicants with research publications in network science, knowledge graph, NLP, or data-driven innovation analytics will be advantageous.
• Ability to work cooperatively as part of a small, agile academic research team is essential.
• Self‑motivated individual who can work independently and collaboratively with team members to deliver research outputs on time.

OTHER INFORMATION

Please note that your application will be sent to and reviewed by the direct employer – Singapore Management University.