Field of Interest:hep-ph
Deadline: 2018-03-31
Region: Europe
Job description:
The Technical University of Munich (TUM) invites applications for a research position aimed at Early-Stage Researchers (ESR) working towards a Ph.D. in theoretical particle physics. The research will be conducted in Munich in the context of the AMVA4NewPhysics innovative training network (H2020-MSCA-ITN-2015, proposal 675440).
AMVA4NewPhysics stands for a Marie Skłodowska Curie European Action Innovative Training Network (MSCA ITN) titled "Advanced Multivariate Analysis for New Physics Searches at the Large Hadron Collider". Within this network, we are hiring one ESR to work on searches for New Physics and their implications for physics beyond the SM (BSM). The main goal for the ESR will be the application of machine learning tools to searches for new physics manifesting itself in new particles (e.g. supersymmetric partners of the SM) or in Higgs signals. A particular emphasis will be given to the reinterpretation of advanced searches within a public recasting framework.
AMVA4NewPhysics foresees a very rich training program including participation in several international doctoral schools, workshops, and conferences. The TUM ESR the position also foresees a secondment at a partner with expertise in applications of Machine Learning tools.
The positions are open to candidates of any nationality fulfilling the EU mobility criteria: applicants should not have resided or performed their main activity (work, studies, etc) in Germany for more than 12 months in the three years prior to the hiring date. Applicants should be in the first four years (full-time equivalent) of their research careers and not yet have Ph.D. This four-year period is measured from the date of obtaining the degree which would formally entitle to embark on a doctorate (master 120 or equivalent). Applications from female researchers are encouraged as AMVA4NewPhysics applies affirmative action measures to guarantee gender neutrality in the selection process. The position is funded for 16 months through the network and continued funding for the remainder of the PhD will be provided by TUM.
During the time funded by the network the gross scholarship amounts to euro 3072.68/month; in addition to it, a gross mobility allowance of euro 600/month is provided for (which is added to the sholarship). Selected candidates who have a family at the time of recruitment qualify for an additional family allowance of gross 500 per month.
The cost of enrolment in the Ph. D. school and of the doctoral courses, as well as all expenses related to travel to schools, workshops, and network-organized events and internships will be sustained by the network.
Although the positions will remain open until suitable candidates are found, interested persons are encouraged to apply before 31st March 2018. The position can start as early as May 2018.
Applications, including curriculum vitae, a list of publications, and at least one letter of recommendation must be send to (andreas.weiler@tum.de).
For more information, please, contact Andreas Weiler (andreas.weiler@tum.de).
Deadline: 2018-03-31
Region: Europe
Job description:
The Technical University of Munich (TUM) invites applications for a research position aimed at Early-Stage Researchers (ESR) working towards a Ph.D. in theoretical particle physics. The research will be conducted in Munich in the context of the AMVA4NewPhysics innovative training network (H2020-MSCA-ITN-2015, proposal 675440).
AMVA4NewPhysics stands for a Marie Skłodowska Curie European Action Innovative Training Network (MSCA ITN) titled "Advanced Multivariate Analysis for New Physics Searches at the Large Hadron Collider". Within this network, we are hiring one ESR to work on searches for New Physics and their implications for physics beyond the SM (BSM). The main goal for the ESR will be the application of machine learning tools to searches for new physics manifesting itself in new particles (e.g. supersymmetric partners of the SM) or in Higgs signals. A particular emphasis will be given to the reinterpretation of advanced searches within a public recasting framework.
AMVA4NewPhysics foresees a very rich training program including participation in several international doctoral schools, workshops, and conferences. The TUM ESR the position also foresees a secondment at a partner with expertise in applications of Machine Learning tools.
The positions are open to candidates of any nationality fulfilling the EU mobility criteria: applicants should not have resided or performed their main activity (work, studies, etc) in Germany for more than 12 months in the three years prior to the hiring date. Applicants should be in the first four years (full-time equivalent) of their research careers and not yet have Ph.D. This four-year period is measured from the date of obtaining the degree which would formally entitle to embark on a doctorate (master 120 or equivalent). Applications from female researchers are encouraged as AMVA4NewPhysics applies affirmative action measures to guarantee gender neutrality in the selection process. The position is funded for 16 months through the network and continued funding for the remainder of the PhD will be provided by TUM.
During the time funded by the network the gross scholarship amounts to euro 3072.68/month; in addition to it, a gross mobility allowance of euro 600/month is provided for (which is added to the sholarship). Selected candidates who have a family at the time of recruitment qualify for an additional family allowance of gross 500 per month.
The cost of enrolment in the Ph. D. school and of the doctoral courses, as well as all expenses related to travel to schools, workshops, and network-organized events and internships will be sustained by the network.
Although the positions will remain open until suitable candidates are found, interested persons are encouraged to apply before 31st March 2018. The position can start as early as May 2018.
Applications, including curriculum vitae, a list of publications, and at least one letter of recommendation must be send to (andreas.weiler@tum.de).
For more information, please, contact Andreas Weiler (andreas.weiler@tum.de).