[Latinmag] Fwd: [Gpmag-l] Postdoc Fellowships at Peking University

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Asunto: [Gpmag-l]  Postdoc Fellowships at Peking University
Fecha: 2021-08-31 03:44
De: Thomas Berndt <thomas.andreas.berndt en gmail.com>
Destinatario: gpmag-l en ucsd.edu

Dear Colleagues,

We are inviting applications for the Boya Postdoctoral Fellowship at the
School of Earth and Space Sciences (SESS) at Peking University.
Applicants with an interest in rock magnetism, numerical modelling, and
machine learning are particularly encouraged to apply.

The fellowship is for a period of 2 years and includes a salary of
200,000 RMB/year, plus free accommodation (1 bedroom apartment) or a
generous housing subsidy, plus medical and social insurance, which
allows a high standard of living in Beijing. After completion of the
fellowship, suitable postdocs may have the opportunity to transition
into a senior researcher position.

Applicants below the age of 35 who obtained their PhDs within the last 3
years are eligible to apply. The application deadline is 15th October.
Details of the programme can be found on
https://postdocs.pku.edu.cn/tzgg/125245.htm [1].

While the fellowship is a personal fellowship to the candidate and
therefore allows to follow own research interests, we are particularly
keen to hearing from applicants interested in contributing to one of the
following projects:

NUMERICAL MODELLING OF MAGNETIC RECORDING IN METEORITES: Paleomagnetic
studies of meteorites and extremely old terrestrial materials that
recorded the evolution of planetary dynamos are a very active field of
research, often using advanced micro- or nano-scale paleomagnetic
techniques. However, these often contain magnetic minerals/structures
with poorly understood magnetic recording behaviour. Interested postdocs
could be working on theoretical or numerical models of these materials.

USING MACHINE LEARNING TO IDENTIFY MAGNETIC MINERALS IN SEDIMENTS:
Magnetic minerals in sediments can give much insight into past
environmental conditions and changes. Key to their use as
paleoenvironmental / paleoclimate proxies is their efficient
identification from magnetic measurements. The interested postdoc would
be applying machine learning techniques to identify such minerals from
magnetic data.

Please contact me (Thomas Berndt, thomasberndt en pku.edu.cn) to discuss
your interest and to submit preliminary application materials (CV, short
statement of research interests). For general information regarding the
fellowship and applications process, contact the group’s secretary Ms.
Diana Wu at lywu en pku.edu.cn. Applicants interested in paleomagnetism or
environmental magnetism may also contact Prof. Baochun Huang
(bchuang en pku.edu.cn) and Dr. Liao Chang (liao.chang en pku.edu.cn),
respectively.

Regards,

Tom

Dr Thomas Berndt
Assistant Professor
School of Earth and Space Sciences
Peking University
http://geophy.pku.edu.cn/people/thomasberndt/english/index.html [2]
[English]

http://geophy.pku.edu.cn/people/thomasberndt/index.html [3] [Chinese]

Links:
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[1] 
https://urldefense.proofpoint.com/v2/url?u=https-3A__postdocs.pku.edu.cn_tzgg_125245.htm&d=DwMFaQ&c=-35OiAkTchMrZOngvJPOeA&r=KjMX4wa8WJ8eEeL2GOtneA&m=nbG6vp_Zf20oRJ_d4CgrnlO7u5Qd1poU4MlZLHCOTdw&s=rIqT-ABjuqDM2gX6hAOds8Mlvm42ByE99VPNV3Af4MI&e=
[2] 
https://urldefense.proofpoint.com/v2/url?u=http-3A__geophy.pku.edu.cn_people_thomasberndt_english_index.html&d=DwMFaQ&c=-35OiAkTchMrZOngvJPOeA&r=KjMX4wa8WJ8eEeL2GOtneA&m=nbG6vp_Zf20oRJ_d4CgrnlO7u5Qd1poU4MlZLHCOTdw&s=EUrEfBurarPWxo-5g0Uf9pMAYDQ0pcRjhWOMqNZ8BAw&e=
[3] 
https://urldefense.proofpoint.com/v2/url?u=http-3A__geophy.pku.edu.cn_people_thomasberndt_index.html&d=DwMFaQ&c=-35OiAkTchMrZOngvJPOeA&r=KjMX4wa8WJ8eEeL2GOtneA&m=nbG6vp_Zf20oRJ_d4CgrnlO7u5Qd1poU4MlZLHCOTdw&s=SZfxqc7ZAVcomdiY_q-EtaV1lpBP6_uPkHAC7fI1gV0&e=
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