Learning specialist Jobs in Bern
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Learning specialist • bern
PostDoc position in scientific machine learning
Universität BernBern, Region Bern, Switzerland- Gesponsert
Payroll Specialist : in (80-100%)
ALBEDISBern, CHClinical Application Specialist, UK
Cascination AgBern, Bern, SwitzerlandYoung Talents Specialist.
YpsomedBurgdorf, SwitzerlandClinical Application Specialist, UK
CASCINATION AGBern, Bern, CH- Gesponsert
IT-Service Specialist 80% bis 100%
Client Systems AGMünsingen, SwitzerlandSystem Specialist Citrix
BedagBern, EngehaldenstrasseProcurement Specialist (m / w / d)
TOM PARKERBern, BE- Gesponsert
Manufacturing Specialist Dairy Culinary Solutions
Nespresso Deutschland GmbHKonolfingen, chSoftware Engineer – Machine Learning Integration
Prime21 AGBernAdvanced Nursing Professional HF / BCs Outpatient Care
creaSKILL GmbHBern, SwitzerlandHR Specialist IT Talent Acquisition
Rent a PersonBern, SwitzerlandFinance Specialist Immobilien 60-100%
p4bBern, Canton of Bern, SwitzerlandSEO Specialist
RM Staffing B.V.Bern, BE, CHTalent Acquisition Specialist (Bern)
Coopers Group AGBern, Kanton Bern, SchweizTherapy Sales Specialist.
MedtronicBern, Bern, SwitzerlandGerman-Speaking Junior Campaign Specialist Barcelona
Velenosi&MeredithBern, SwitzerlandHR Specialist -100%
Manpower SwitzerlandRegion BernIT Business Development Specialist
cogify agBern, BE, CHÄhnliche Suchanfragen
PostDoc position in scientific machine learning
Universität BernBern, Region Bern, SwitzerlandThe Space Research and Planetary Sciences Division of the University of Bern's Physics Institute is seeking candidates for a PostDoc to work on Rosetta legacy mass spectrometer data obtained at comet 67P / Churyumov-Gerasimenko (67P). The position, funded by the Swiss National Science Foundation (SNSF), is nominally for 1 year with the possibility of an extension.
The intended start date falls within the May-July 2026 timeframe.
The Bern-led high-resolution Double Focusing Mass Spectrometer (DFMS) aboard ESA's Rosetta mission to comet 67P revealed an unexpected chemical diversity and complexity in cometary matter. The research project uses DFMS legacy data as unique testbed to investigate cometary abiotic organic complexity and establish references for ongoing and future space missions – particularly those employing mass spectrometers in the search for signs of life.
Tasks
The work combines physical and chemical knowledge with machine learning (ML) algorithms to reduce and interpret the full mission DFMS legacy data. A central focus lies on the exploration of unsupervised ML methods to support the investigation and characterization of complex organic molecules.
The PostDoc will be working in a multidisciplinary environment at one of the leading houses for space mission instrumentation in Europe and have the opportunity to present their research at international conferences and workshops.
Requirements
The position formally requires a PhD degree in physics, (astro)chemistry, or related fields, obtained no more than one year ago. We are looking for candidates with extensive scientific machine learning expertise and strong programming skills. Experience in organic chemistry, mass spectrometry, primitive solar system bodies is a plus.
We offer