美國(guó)西北太平洋國(guó)家強(qiáng)化學(xué)習(xí)與控制實(shí)驗(yàn)室博士后職位
Job Description
The optimization and control group at Pacific Northwest National Lab seeks a post-doc to conduct research in the area of control and reinforcement learning with a focus on application to energy systems reliability. The research focus would be to develop and test combined control theory-based and reinforcement learning-based algorithms for emergency control operations in energy systems. In order to contribute to these research efforts, a successful candidate would have deep technical expertise in control of dynamic systems and good knowledge of reinforcement learning. In addition, the candidate should be proficient in programing languages and software tools and packages for grid simulation, control, and reinforcement learning. The candidate is expected to collaborate effectively with multi-disciplinary research and development teams including researchers within and outside PNNL.
Minimum Qualifications
Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.
Preferred Qualifications
· The candidate must have a solid background in control of dynamic systems (preferably, with applications to energy systems) and reinforcement learning.
· Familiar with power system transient stability simulation software, such as PSS/E or other similar tools.
· Experience with tools, frameworks and algorithms used for reinforcement learning research such as Tensorflow, OpenAI Gym, OpenAI Baselines
· Good programming skills with Python, C++, Java, etc.
· Experience with power system emergency control is a plus.
Ph.D. degree in Control, Electrical Engineering, Mechanical Engineering or related field.
為防止簡(jiǎn)歷投遞丟失請(qǐng)抄送一份至：boshijob@126.com（郵件標(biāo)題格式：應(yīng)聘職位名稱+姓名+學(xué)歷+專(zhuān)業(yè)+中國(guó)博士人才網(wǎng)）
中國(guó)-博士人才網(wǎng)發(fā)布
聲明提示：凡本網(wǎng)注明“來(lái)源：XXX”的文/圖等稿件，本網(wǎng)轉(zhuǎn)載出于傳遞更多信息及方便產(chǎn)業(yè)探討之目的，并不意味著本站贊同其觀點(diǎn)或證實(shí)其內(nèi)容的真實(shí)性，文章內(nèi)容僅供參考。
