麦吉尔大学PhD positions in mineral & mining engineering申请条件要求-申请方

PhD positions in mineral & mining engineering
PhD直招2025夏季
申请时间:2024.07.14截止
主办方
麦吉尔大学
PhD直招介绍
deadline: july 14, 2024 starting term: fall 2024 or winter 2025 or summer 2025 supervisors: professor agus sasmito (associate professor and pi of mine multiphysics laboratory); professor ferri hassani (webster chair professor in mining engineering and pi of geomechanics laboratory) description of the projects: the mining sector is vital for canada's economy but faces challenges in transitioning to sustainable practices amidst rising global energy demands and climate change. there will be four projects on the technological development of sustainable mining practices. multiple ph.d. and research assistant positions are available for these projects. (1). renewable heating and cooling in mines; (2)geothermal heat extraction from abandoned oil and gas wells; (3) sustainable iron ore pelletization; (4) microwave-assisted excavation and processing.
麦吉尔大学 PhD positions in mineral & mining engineering项目有没有奖学金,是不是全奖Phd招生,下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
salary :up to cad 168,000 for the whole ph.d. duration. see mcgill engineering doctoral award for details.
麦吉尔大学Phd申请条件和要求都有哪些?PhD positions in mineral & mining engineering项目是不是全奖?有没有奖学金?下面我们一起看一下麦吉尔大学申请Phd直招需要具备哪些条件和要求,以及托福、雅思语言成绩要到多少才能申请。
申请要求
essential criteria: possess or be close to completing a bachelor's and/or master's degree in mechanical engineering, mining and materials engineering, civil and geotechnical engineering, chemical engineering, applied mathematics, or a related field. academic excellence: a minimum cgpa of 3.5 or equivalent in bachelor's and 3.8 or equivalent in master's degrees. for applicants applying directly after their bachelor's,the cgpa should be a minimum of 3.8 or equivalent. strong theoretical background in at least four of the following areas: heat transfer, fluid mechanics, numerical analysis, computational fluid dynamics (cfd), finite-element methods (fem), rock mechanics, mineral processing, and optimization. demonstrable research experience through research projects/internships, conference presentations, and/or journal publications. strong motivation to be involved in an industry-oriented project and a willingness to learn new concepts, methods, and computational tools quickly. excellent written communication and presentation skills in english. knowing french is an asset.
报名方式
招生人信息
professor agus sasmito
邮箱:minghan.xu@mail.mcgill.ca