1. To support the accurate forecasting of intellectual property (IP) filings, to enhance IPOS resource planning. 2. Job descriptions include the following: • Conduct literature review of current best practices for IP forecasting by researchers and other IP offices • Find new explanatory or relevant (macroeconomic) variables that can be included in the forecasting models to help improve forecasts; collect, clean, and preprocess time series data from various sources. • Utilise forecasting software or develop new forecasting models in R/Python for both short-term and long-term forecasting.

1. Undergrad or graduate in the following fields: Data Analytics / Business Analytics / Data Science / Economics / Statistics / Mathematics or other related fields 2. Experience in doing forecasting work with the following ability, knowledge, or skills is preferred: • Ability to learn and use time series forecasting / AI software such as DataRobot, SAS Viya, etc. • Ability to do time series forecasting in R/Python (possess knowledge of time series forecasting libraries) • Knowledge in time series modelling (time series models) or machine learning models (e.g., ARIMA/SARIMA, exponential smoothing, state space models, deep learning-based models (e.g., LSTM, GRU), Random Forests, XGBoost) • Data handling and manipulation skills in R/Python • Ability to commit for 3 months

The Intellectual Property Office of Singapore (IPOS) is the national authority that registers and is responsible for the administration of IP rights in Singapore. IPOS helps businesses use intangible assets (IA) and IP to grow and is committed to building Singapore into an international IA/IP hub. We help to catalyse a future driven by life-enhancing, commercially successful ideas created by businesses, professionals and everyday people. We help to turn today’s ideas into tomorrow’s assets. IPOS is a statutory board under the Ministry of Law.