Open Positions

1. Research scientist (Atmospheric Modeling)

Job Requirement:

A successful applicant must:

1. hold a master degree (or higher) in meteorology, ecology, oceanography , environmental science and related fields;

2. be familiar with atmospheric or climate models, has experiences in installing, compiling and running models;

3. have knowledge in dynamics and parameterization schemes of atmospheric models;

4. be familiar with linux system and bash/csh/ksh scripts. Experience in Fortran is preferable.

Responsibilities:

1. build, maintain and optimize numerical forecast system;

2. optimize physical parameterization schemes in regional and global models;

3. write configuration files for the modeling system;

4. assist department manager with other related work

2. Research scientist (Data Assimilation)

Job Requirement:

A successful applicant must:

1. hold a master degree (or higher) in meteorology, ecology, oceanography , environmental science and related fields;

2. be familiar with the basic theoretical frames of data assimilation in atmospheric models

3. be familiar with data assimilation tools like WRF-DA, GSI

4. have Experience in Doppler radar data assimilation is preferable.

5. have practical experience with Fortran programming language is recommended

Responsibilities:

1. research and analyze global observation data, conventional data, gps, doppler radar, and remote sensing data, including quality control and data assimilation

2. optimize data assimilation and quality control algorithms;

3. assist department manager with other related work

3. Research scientist (Data Analysis and Diagnostics)

Job Requirement:

A successful applicant must:

1. hold a master degree (or higher) in meteorology, ecology, oceanography , environmental science, applied mathematics, computer science and related fields;

2. have experience in data diagnostics of multi-model products ;

3. be familiar with different data formats;

4. have expertise in at least one data analysis tool (NCL, python, IDL etc.)

5. experience in evaluating model results with different statistical methods.

Responsibilities:

1. research diagnostic analysis methods on multi-model products assessment;

2. model products visualization;

3. model products assessment;

4. assist department manager with other related work.

4. Research scientist (Machine Learning)

Job Requirement:

A successful applicant must:

1. hold a bachelor degree (or higher) in meteorology, applied mathematics, computer science and related fields;

2. have strong interests in machine learning and the applications in atmospheric sciences ;

3. be familiar with at least one machine learning model (eg. TensorFlow etc.)

4. have experience in applying machine learning on practical problems independently is recommended;

5. have basic knowledge on atmospheric data

Responsibilities:

1. develop machine learning/deep learning algorithms for atmospheric monitoring and prediction;

2. investigate, design, develop and optimize algorithms for meteorological products

3. assist department manager with other related work.

Note: This position is required by PIESAT Information Technology (United Kingdom) Limited, a wholly-owned subsidiary of PIESAT Information Technology Co., Ltd.

Working Location: University of Reading, UK

About PIESAT Information Technology Co., Ltd.:

PIESAT Information Technology Co., Ltd. (PIESAT, stock code: 688066) is a leading satellite operation and application service provider in China since 2008, and one of the first batch of listed enterprises in the STAR Board of Shanghai stock market. PIESAT has independently developed the PIE (Pixel Information Expert) remote sensing software with intellectual property, and the first Chinese remote sensing cloud service platform named PIE-Engine, realizing the independent research and development of basic remote sensing software. The company has established overseas subsidiaries in Hong Kong, Sydney, London, Geneva, with business covering Asia, Europe, Australia and other regions. It provides spatial application solutions for government sectors, enterprises, universities, etc.

In meteorology industry, PIESAT has been developing on quantitative inversion, machine learning, cloud computing, cloud storage, big data analysis, rapid cycle assimilation, virtual reality and other cutting-edge technologies; it provides top-level design of information system, software R & D and application, data sharing services, etc. as well as carries out accurate meteorological forecast support services for road, aviation, logistics, agriculture and other industries.

In marine industry, based on key technologies in remote sensing, satellite positioning and navigation, geographic information system, big data, PIESAT has established an integrated solution for data transmission monitoring, data reception, storage management, data processing, comprehensive data application analysis, 2D/3D integrated display and shared distribution, etc. It provides multi-level comprehensive information services for government sectors, scientific research institutions, enterprises, and the public.

Contact: guotao@piesat.cn