企业关系

Engie(Shanghai office)_Engineer Intern Needs 2019

Engie中国研发上海办公室提供了三个工程师实习岗位,具体的实习岗位信息及要求如下。

 

Engie (ex. GDF SUEZ) employs 150,000 employees worldwide and achieved revenues of €65 billion in 2017. The Engie Group is one of the world’s leading players in energy, present in nearly 70 countries.

Engie Research China is the Engie Group R&D center in China, and aims to develop a series of research programs focused on “integrated infrastructure” for addressing research and engineering grand challenges towards more efficient and intelligent energy services at building scale, at district scale, and at urban scale. Engie Research China also focuses on leveraging advanced information technologies to support business units and management teams develop new business models and make more data-informed decisions (http://www.engie.cn/en/engie-china/engie-lab/).

We are seeking a paid research intern to work for Engie Research China in Shanghai office. The internship is full time and well paid, and will take 6-12 months (start immediately preferred).

 

1.    Research Intern (Data Science)

Requirements:

1.       Master student in Data Science or Computer Science;

2.       Programming skills such as Python, R, JavaScript, SQL;

3.       Deep knowledge and experience of data analytics, optimization, machine learning and artificial intelligence;

4.       Excellent written and good verbal communication skills;

5.       Strong interpersonal skills to work in team environment;

Additional preferred set of skills:

1.       Experience of software development;

2.       Enthusiasm in applying data analytics in energy field;

Responsibilities:

1.       Conduct feature engineering and build models for data-driven energy applications;

2.       Integrate data analytics into planning, design and operations of energy systems;

3.       Work with engineering teams for AI and district energy R&D work;

4.       Participate in the development of data products for supporting decision making of engineers, urban planners, and government officials;

5.       Develop written products including research plans, reviews, project proposals and reports;

6.       Publish and present research outcomes at conferences, workshops, and industry events;

 

2.   Research Intern (Energy Engineering)

Requirements:

1.       Master student in Energy Engineering or an equivalent discipline;

2.       Knowledge and experience of building energy efficiency and HVAC systems;

3.       Be familiar with energy modeling tools, such as EnergyPlus, TRANSYS, EnergyPro;

4.       Excellent written and good verbal communication skills;

5.       Strong interpersonal skills to work in team environment;

Additional preferred set of skills:

1.       Advanced knowledge of district energy (heating, cooling, and power) systems;

2.       Understanding of district energy related design codes and standards;

3.       Experience with data analytics, optimization algorithms, machine learning and artificial intelligence;

4.       Programming skills such as Python, Matlab;

Responsibilities:

1.       Conduct research and analysis for estimating the boundaries and potentials of district energy systems;

2.       Conduct research for optimizing CAPEX and OPEX of district energy projects;

3.       Integrate data analytics into planning, design and operations of district energy systems;

4.       Work with engineering teams for district energy R&D work;

5.       Participate in the development of visualization tools for supporting decision making of engineers, urban planners, and government officials;

6.       Develop written products including research plans, reviews, project proposals and reports;

7.       Publish and present research outcomes at conferences, workshops, and industry events;

 

3.   Research Intern (Optimization)

Requirements:

1.       Degree study in Computer Science (or Engineering with rich programming experience);

2.       Programming skills such as Python, C#, JavaScript, SQL;

3.       Deep knowledge and experience of optimization algorithms (genetic algorithms, non-linear programming, dynamic programming, graph search algorithms, etc.);

4.       Excellent written and good verbal communication skills;

5.       Strong interpersonal skills to work in team environment;

Additional preferred set of skills:

1.       Experience of software development;

2.       Enthusiasm in applying optimization methods in energy field;

Responsibilities:

1.       Build optimization models for energy applications;

2.       Integrate the engineering processes of planning, design and operations of energy systems;

3.       Work with energy domain experts for district energy R&D work;

4.       Participate in the development of web application for showing research results of the optimization and for supporting decision making of engineers;

5.       Develop written products including research plans, reviews, project proposals and reports;

6.       Publish and present research outcomes at conferences, workshops, and industry events;